Abstract: Embodiments described herein provide for a satellite device that can be associated with a user account of a minor aged (e.g., child or adolescent) user that does not have a smartphone that can be used as a companion device to the satellite device. The satellite device can be configured to be used as a primary device, without reliance upon a paired smartphone. Certain information can be synchronized with the satellite device via the association with the family account. During initial configuration, a set of cryptographic keys can be generated to associate the account of the satellite device with the set of accounts in the family. The satellite device can then access calendars, media, or other data that is shared with user accounts within a family of user accounts.

Abstract: One issue with many dating applications is that the number of matches can become overwhelming, making it difficult for a user to continue to communicate meaningfully with those individuals with whom they have been matched. According to various techniques described herein, a limit can be placed on the number of active matches (or conversations) for each user, and the user's profile may be temporarily hidden from view of other individuals when this limit has been reached. Such a condition is referred to as “saturation.” Once the user unmatches one or more individuals, so that they are no longer at the maximum, their profile may again be made available and therefore visible to other individuals.

Abstract: A network device obtains information, associated with blacklisted domains, that includes blacklisted domain identifiers, and sinkhole server identifiers associated with the blacklisted domain identifiers. The network device obtains a set of rules that specify match criteria, associated with the blacklisted domains, that include source network addresses and/or destination network addresses for comparison to packet source network addresses and/or packet destination network addresses associated with incoming packets. The set of rules specify actions to perform based on a result of comparing the match criteria and the packet source network addresses and/or the packet destination network addresses for the incoming packets.

Abstract: Systems, methods, and apparatuses for providing a customer a central location to manage permissions provided to third-parties and devices to access and use customer information maintained by a financial institution are described. The central location serves as a central portal where a customer of the financial institution can manage all access to account information and personal information stored at the financial institution. Accordingly, the customer does not need to log into each individual third-party system or customer device to manage previously provided access to the customer information or to provision new access to the customer information. A user additionally is able to have user data and third-party accounts of the user deleted from devices, applications, and third-party systems via a central portal.

Abstract: Systems and methods for concurrent modification of content are provided. In response to a verified request received from a user content is copied to a first storage media as a first version of the content uniquely identified by a first identifier, the verified request being based on verification of the user's credentials. In response to the user editing the first version of the content, the edited copy of the content is stored in the content management system in association with a second identifier uniquely identifying the edited copy of the content as a second version of the content. In response to receiving a notification that a plurality of users no longer request access to the content stored in the content management system, the first version of the content is deleted from the first storage media.

Abstract: An exemplary system having a processor and a memory therein includes means for creating an isolation group, in which creating the isolation groups includes: defining isolation requirements, identifying a group of features utilizing call-out functions, and selecting from among the group of features utilizing call-out functions a group of features having the defined isolation requirements; deploying platform software integrating the isolation requirements, in which the platform software contains instructions to map the isolation requirements to a customer organization; creating the customer organization; creating a unique variant of the customer organization, in which creating the unique variant of the customer organization includes declaratively applying an isolation layer containing isolation requirements on top of a base layer for the customer organization; and deploying the unique variant of the customer organization onto the customer organization's computing infrastructure, in which the unique variant vali

Abstract: Enterprise applications need to store and evaluate permissions on per User, per Entity and per Action basis for hundreds of Users and thousands of permissions. Most of the times this data takes up to 5 database tables to store the Role Based Access Control (RBAC) permissions. Selecting permissions for user from database consumes time while any User attempts to perform any Action. Sometimes the time taken to check permission is more than time taken to perform the required Action. Thus the current approaches for RBAC are inefficient in all—computation TIME, runtime MEMORY and database STORAGE. Binary arithmetic is known for being vast in scalability, smallest in memory and fastest in speed. This paper describes a new method which uses binary data structure and binary arithmetic to accurately check User permissions. We also claim that this method is the most scalable and fastest possible for Role Based Access Control.

Abstract: A method includes executing a configuration engine on one or more data processing device(s) of a computing system. In accordance with the execution, the method also includes discovering at least a subset of a number of resources associated with a target environment of the computing system, generating an environment definition associated with the target environment, building baseline configurations, policies, and metadata for at least the subset of the number of resources, and versioning the aforementioned data.

Abstract: A computer-implemented method for team-sourced anomaly vetting via automatically-delegated role definition. The method may include automatically determining that an event of the computing system corresponding to activity of an end user is anomalous. Based on the anomalous event, a permission store of the computing system may automatically be edited to include an access restriction on the end user, and a notification may be automatically generated and transmitted to one or both of the end user and another end user. The notification may provide access to an executable statement including code configured to be executed to remove the access restriction. A call to the executable statement by the other end user may be automatically received. Further, the permission store may be automatically edited to remove the access restriction on the end user.

Abstract: A method of propagating data packets in a network of nodes is disclosed. The method, implemented at one of the nodes, includes: collecting a set of first data packets during a first time period, the set including at least one data packet received from one or more first nodes in the network; obtaining a plurality of encoded data packets, each one of the plurality of encoded data packets being generated by combining two or more first data packets of the set using network coding; determining a mapping of the plurality of encoded data packets and the first data packets of the set to one or more neighbouring nodes connected to the node; and transmitting the plurality of encoded data packets and the first data packets of the set to the one or more neighbouring nodes according to the determined mapping.

Abstract: There is provided data-efficient threat detection method in a computer network. The method can include: receiving raw data related to a network node, generating local 5 behaviour models related to the network node; generating at least one common model of normal behaviour on the basis of local behaviour models related to multiple network nodes; filtering input events by using a measure for estimating the likelihood that the input event is produced by the generated common model of normal behaviour and/or by the generated one or more local behaviour models, wherein only input events having a 10 likelihood below a predetermined threshold of being produced by any one of the models are passed through the filtering; and processing input events passed through the filtering for generating a security related decision.

Abstract: The present invention relates to a method and system for tracking the movement of data elements as they are shared and moved between authorized and unauthorized devices and among authorized and unauthorized users.

Abstract: An information technology (IT) and security operations application is described that enables cross-tenant analyses of data to derive insights that can be used to provide actionable information across the application including, for example, action recommendations, threat confidence scores, and other incident data enrichments. The generation and presentation of such information to users of an IT and security operations application can enable analyst teams to more efficiently and accurately respond to various types of incidents in IT environments, thereby improving the overall operation and security of the IT environments. Furthermore, because of the shared use of an IT and security operations application concurrently by any number of separate tenants, such cross-tenant analyses can be performed in near real-time and on an ongoing basis to deliver relevant insights.

Abstract: A vehicle communication device including a processor, wherein the processor: receives first data, and second data that is different from the first data; generates third data based on the received first data and an encryption key; compares the second data and the third data, and authenticates the first data in a case in which the second data and the third data match; and as a result of comparisons that are carried out a plurality of times on receivings that are within a predetermined amount of time after start-up of a vehicle, determines that a case in which the second data and the third data do not match every time is a device abnormal state, and, as a result of the comparisons of the plurality of times, determines that a case that includes matching is a device operating state.

Abstract: Artificial Intelligence (“AI”) apparatus and method are provided that correlate and consolidate operation of discrete vendor tools for detecting cyberthreats on a network. An AI engine may filter false positives and eliminate duplicates within cyberthreats detected by multiple vendor tools. The AI engine provides machine learning solutions to complexities associated with translating vendor-specific cyberthreats to known cyberthreats. The AI engine may ingest data generated by the multiple vendor tools. The AI engine may classify hardware devices or software applications scanned by each vendor tool. The AI engine may decommission vendor tools that provide redundant cyberthreat detection. The AI engine may display operational results on a dashboard directing cyberthreat defense teams to corroborated cyberthreats and away from false positives.

Abstract: A device may receive a malicious file associated with a network of network devices and may identify a file type and file characteristics associated with the malicious file. The device may determine one or more rules to apply to the malicious file based on the file type and the file characteristics associated with the malicious file and may apply the one or more rules to the malicious file to generate a partial file signature for the malicious file. The device may provide the partial file signature for the malicious file to one or more of the network devices of the network. The partial file signature may cause the one or more of the network devices to block the malicious file.

Abstract: Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, and/or the like that are configured to enable effective and efficient monitoring of software application frameworks. For example, certain embodiments of the present invention provide methods, apparatuses, systems, computing devices, and/or the like that are configured to perform software application framework monitoring using an interactive software application platform monitoring dashboard comprises a set of user interfaces (e.g.

Abstract: Methods, computer-readable media, software, and apparatuses may assist a consumer in keeping track of a consumer's accounts in order to prevent unauthorized access or use of the consumer's identified subscriptions and financial accounts. The identified subscriptions and financial accounts may be displayed to the consumer along with recommendations and assistance for closing unused or unwanted financial accounts and subscriptions to prevent unauthorized access or use.

Abstract: A network security computing system includes a steganographic communications analysis engine monitoring incoming and outgoing messages on a secure computing network. The steganographic communications analysis engine identifies a pattern of file transfers between a first computing device on the secure computing network and an internal or external message recipient. When a pattern is identified, the steganographic communications analysis engine quarantines an associated computing device from the secure network. The steganographic communications analysis engine analyzes files transferred between the computing device and the recipient for indications of steganographic information and causes display, based on an identified indication of steganography, an indication that the computing device had been compromised by command and control malware.

Abstract: Embodiments of the present invention provide an innovative system, method, and computer program product for automated device activity analysis in both a forward and reverse fashion. A collaborative system for receiving data and continuously analyzing the data to determine emerging patterns associated with particular user devices is provided. The system is also designed to generate a historical query of user device touch points or interaction points with entity systems across multiple data vectors, and generate system alerts as patterns or potential issues are identified. Common characteristics of data may be used to detect patterns that are broadened in scope and used in a generative neural network approach.

Abstract: Systems, methods, and computer media are described for user risk assessment using similarity analysis. Records of transactions performed by a user while in previous enhanced application access sessions can be evaluated against records of transactions performed by other users in previous sessions. The more similar a user is to other users, the more likely it is the user was acting in a typical manner, and the less likely the user poses a security risk. A similarity analysis can be performed using a bipartite graph linking a group of users and a group of application transactions. By examining an edge between a user and a performed transaction, other edges (and corresponding other users) can be identified that also performed the transaction. A similarity score can be calculated based on the bipartite graph and can be used to determine a risk classification and allow or deny an enhanced application access session request.

Abstract: Detecting anomalous behavior of a device, including: generating, using information describing historical activity associated with a user device, a trained model for detecting normal activity for the user device; gathering information describing current activity associated with the user device; and determining, by using the information describing current activity associated with the user device as input to the trained model, whether the user device has deviated from normal activity.

Abstract: Methods and systems for malicious non-human user detection on computing devices are described. The method includes collecting, by a processing device, raw data corresponding to a user action, converting, by the processing device, the raw data to features, wherein the features represent characteristics of a human user or a malicious code acting as if it were the human user, and comparing, by the processing device, at least one of the features against a corresponding portion of a characteristic model to differentiate the human user from the malicious code acting as if it were the human user.

Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, and provide results of the automated analysis in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a compact, human-readable analysis of the data clusters. The human-readable analyses (also referred to herein as “summaries” or “conclusions”) of the data clusters may be organized into an interactive user interface so as to enable an analyst to quickly navigate among information associated with various data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation. Embodiments of the present disclosure also relate to automated scoring of the clustered data structures.

Abstract: A method, non-transitory computer readable medium, and device that assists with improving web scanner accuracy includes receiving a sitemap document associated with a webpage from an application security manager apparatus. The received sitemap document associated with the webpage is scanned. Next, one or more vulnerabilities are identified in the scanned sitemap associated with the webpage. A report including the identified one or more vulnerabilities is provided.

Abstract: Disclosed are methods for automatic retrieving and managing assets information in a network. The method includes identifying, defining, and valuing stored assets in a network. An asset is defined and identified by assigned values that include criticality values, resiliency values, granularity values, and freshness values that may be selected from a predefined set of values. The assets are valued by an overall quality score that is determined through computerized data processing and optimized by updating asset properties.

Abstract: A system for analyzing computer systems and networks for potential vulnerabilities to cyber-attacks configured to (i) receive scan data from a scan of a target computer device; (ii) search for one or more vulnerabilities based on the scan data; (iii) determine at least one attack vector based on the one or more vulnerabilities; (iv) generate one or more exploits based on the one or more attack vectors and the one or more vulnerabilities; and (v) execute the one or more exploits on the target computer device.

Abstract: An apparatus and method for analyzing organizational digital security are described. The apparatus includes at least a processor and a memory communicatively coupled to the at least a processor. The memory includes instructions configuring the at least a processor to receive organizational data associated with a plurality of organizational resources for an organization, analyze the organizational data, determine an integrity indicator based on the surveying of the organizational data, and generate a continuity indicator as a function of the integrity indicator.

Abstract: The systems and methods disclosed herein comprise computer-based platforms configured for automated early-stage application security monitoring for allowing users (e.g., application developers) to make decisions at the early stage of the application development.

Abstract: Systems, methods, and software described herein provide action recommendations to administrators of a computing environment based on effectiveness of previously implemented actions. In one example, an advisement system identifies a security incident for an asset in the computing environment, and obtains enrichment information for the incident. Based on the enrichment information a rule set and associated recommended security actions are identified for the incident. Once the recommended security actions are identified, a subset of the action recommendations are organized based on previous action implementations in the computing environment, and the subset is provided to an administrator for selection.

Abstract: Disclosed are implementations, including a method that includes monitoring dataflow streams in a network comprising multiple computing nodes, and determining network security characteristics for a dataflow stream, from the monitored dataflow streams, relating to security, authentication, and access events for accessing, via the dataflow stream, one or more of the multiple nodes. The method further includes determining potential violations by the dataflow stream of security policies defined for operation of the network, access functionality for the network, or identity attributes used by the network, based, at least in part, on the determined network security characteristics for the dataflow stream, and based on network-operation data comprising one or more of network security data, network identity data, and network access data. The network-operation data is stored in one or more data storage units in the network, and is configured to manage network access and operation for the multiple computing nodes.

Abstract: The methods and system described herein automatically generate network router access control entities (ACEs) that are used to filter internet traffic and more specifically to block malicious traffic. The rules are generated by an ACE engine that processes incoming internet packets and examines existing ACEs and a statistical profile of the captured packets to produce one or more recommended ACEs with a quantified measure of confidence. Preferably, a recommended ACE is identified in real time of the attack, and preferably selected from a library of pre-authored ACEs. It is then deployed automatically or alternatively sent to system personnel for review and confirmation.

Abstract: Provided is an infection-spreading attack detection system and method, as well as a program enabling an occurrence of an infection-spreading attack to be detected with high accuracy. A first feature amount is calculated based on traffic information on a packet transferred by a transfer device, and M partial address space(s) are identified to be a monitoring target based on the first feature amount. A second feature amount is calculated for each of the M partial address space(s) based on the traffic information related to the M partial address space(s). Abnormality detection determination is performed on each of the M partial address space(s) based on the second feature amount. Whether the infection-spreading attack has occurred is determined by evaluating M determination results.

Abstract: A system for suspending a computing device suspected of being infected by a malicious code is configured to receive a signal to initiate a suspension procedure of the computing device. The system captures states of instructions that are being executed by a processor of the computing device, where the instructions comprise the malicious code. The system prioritizes the operation of a kill switch button over the instructions being executed by the processor. The system sends notification signals to servers managing a user account associated with a user currently logged in at the computing device, indicating that the computing device is suspected of having been infected by the malicious code. In response to sending the notification signals to the servers, the user account is suspended. The system terminates network connections of the computing device such that the computing device is disconnected from other devices.

Abstract: Techniques for detecting and mitigating Denial of Service (DoS) attacks in distributed networking environment are disclosed. In certain embodiments, a DoS detection and mitigation system is disclosed that automatically monitors and analyzes network traffic data in a distributed networking environment using a set of pre-defined threshold criteria. The system includes capabilities for automatically invoking various mitigation techniques that take actions on malicious traffic based on the analysis and the pre-defined threshold criteria. The system includes capabilities for automatically detecting and mitigating “outbound” DoS attacks by analyzing network traffic data originating from an entity within the network to a public network (e.g., the Internet) outside the network as well as detect and mitigate “east-west” DoS attacks by analyzing network traffic data originating from a first entity located in a first data center of the network to a second entity located in a second data center of the network.

Abstract: A server receives internet traffic from a client device. The server is one of multiple servers of a distributed cloud computing network which are each associated with a set of server identity(ies) including a server/data center certification identity. The server processes, at layer 3, the internet traffic including participating in a layer 3 DDoS protection service. If the traffic is not dropped by the layer 3 DDoS protection service, further processing is performed. The server determines whether it is permitted to process the traffic at layers 5-7 including whether it is associated with a server/data center certification identity that meets a selected criteria for the destination of the internet traffic. If the server does not meet the criteria, it transmits the traffic to another one of the multiple servers for processing the traffic at layers 5-7.

Abstract: Implementations of the present disclosure include receiving analytical attack graph data representative of an analytical attack graph, the analytical attack graph including: one or more rule nodes each representing a network configuration rule; and one or more impact nodes each representing an impact of one or more respective network configuration rules; converting the analytical attack graph to a tactic graph including one or more tactic nodes, each tactic node representing at least one rule node and at least one impact node; determining one or more paths of the tactic graph that lead to a particular network impact; generating a process model based on the paths that lead to the particular network impact, the process model representing network activity for execution of a process that leads to the particular network impact; and executing one or more remedial actions based on the process model to mitigate cyber-security risk to the enterprise network.

Abstract: A computer-implemented method, executed by one or more email detection computers, receives from a computer network, a first email message from a first sender account to a first recipient account and having a plurality of attributes. The method determines that the first email message is a phishing email, extracts a subset of attributes, normalizes transformable attributes, and generates a hash representation from fixed attributes and the normalized transformable attributes, stores the hash representation in a database, receives a second email message, and determines that the second email message is a phishing email based on the stored hash representation.

Abstract: A non-transitory computer readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to operate in a recovery mode after initiating a startup operation, transmit a data frame to a device of an electric power delivery system during the recovery mode, the data frame indicating a request for a security association key (SAK), receive the SAK from the device in response to transmitting the data frame, and use the SAK to communicate data via a media access control security (MACsec) communication link.

Abstract: Systems and methods in accordance with present implementations can include decrypting, by one or more processors, a data packet using a session key to recover a decrypted data packet, the data packet comprising a data element encrypted with a first content-specific key associated with a shared secret, the data packet encrypted with the session key, and decrypting, by the one or more processors, the data element of the decrypted data packet using a second content-specific key corresponding to a data type of the data element, to recover a decrypted data element.

Abstract: A method and system for maintaining persistent network policies for a virtual machine (VM) that includes determining a name of the VM executing on a first host connected to a first network device; binding the name of the VM to a network policy for the VM on the first network device; acquiring from VM management software, using the name of the VM, a universally unique identifier (UUID) of the VM; associating the UUID to the network policy on the first network device; applying the network policy for the VM on the first network device; subscribing to receive notifications from the VM management software of changes to the configuration of the VM corresponding to the UUID; receiving notification from the VM management software of a configuration change made to the VM corresponding to the UUID; and updating the network policy of the VM to reflect the configuration change of the VM.

Abstract: Aspects of the disclosure relate to exfiltrated data detection. A computing platform may receive secure enterprise data from an enterprise data management platform. In response to receiving the secure enterprise data, the computing platform may generate data entities. The computing platform may load, into the data entities, secure enterprise data. After loading the secure enterprise data into the data entities, the computing platform may activate a verification process associated with each data entity, which may include triggering each data entity to send verification messages to other data entities. Each data entity may be configured to receive and validate verification messages received from the other data entities of the plurality of data entities, and may be configured to delete secure enterprise data stored in the corresponding data entity upon failing to receive the verification messages from the other data entities.

Abstract: The present disclosure relates to securing workloads of a network by identifying compromised elements in communication with the network and preventing their access to network resources. In one aspect, a method includes monitoring network traffic at network elements of a network; detecting a compromised element in communication with one or more of the network elements, the compromised element being associated with at least one network threat; and based on a defined network policy, applying one of a number of different access prevention schemes to the compromised element to prevent access to the network by the compromised element.

Abstract: Embodiments of this application provide a network security management method and an apparatus. The method includes: receiving, by a first network device, a session request sent by a terminal device, where the session request is used to request establishment of a first session with a first data network, the session request includes first authentication information for the first session, and the first authentication information includes identifier information of the first data network; obtaining, by the first network device, second authentication information for a second session of the terminal device, where the second authentication information includes identifier information of a second data network to which the second session is connected; and if the identifier information of the first data network is the same as the identifier information of the second data network, authorizing the terminal device to establish the first session with the first data network.

Abstract: A system, method, and computer-readable medium are disclosed for implementing a cybersecurity system having security policy visualization. At least one embodiment is directed to a computer-implemented method for implementing security policies in a secured network, including: retrieving a set of rules of a security policy; analyzing the set of rules of the security policy using one or more Satisfiability Modulo Theory (SMT) operations to reduce a dimensionality of the security policy; and generating a visual presentation on a user interface using results of the SMT operations, where the visual presentation includes visual indicia representing one or more targeted policy dimensions with respect to one or more fixed policy dimensions. In at least one embodiment, two or more security policies are presented with visual indicia representing differences between the security policies, including representations of one or more targeted policy dimensions with respect to one or more fixed policy dimensions.

Abstract: An approach for improving endpoint security. The approach requests security capabilities from endpoints of communications. The approach can analyze the differences between the security capabilities of the endpoints. The approach can negotiate a security capability supported by the endpoints of the communication. The approach can determine if the negotiation succeeded. If the negotiation failed, then the approach can create a report describing capabilities of the endpoints and suggesting changes to improve the endpoint security. The approach can send the report to the appropriate interested personnel.

Abstract: Methods, systems, and computer readable media for routing of packets for lawful interception (LI). A system includes at least one session border controller (SBC) configured for forwarding media streams to a forwarding function. The system includes the forwarding function, implemented on a centralized node for a telecommunications network. The forwarding function is configured for receiving the media streams and forwarding each media stream to a respective lawful intercept mediation server for at least one country associated with the media stream. The forwarding function is configured for, in response to receiving a first packet of a first media stream from the SBC, performing a destination lookup for the first media stream and sending a mediation server identifier for the first media stream to the SBC. The SBC can be configured for sending a session release indicator and a direction flag to the forwarding function.

Abstract: Methods, systems, and computer readable media for routing of packets for lawful interception (LI). A system includes at least one session border controller (SBC) configured for forwarding media streams to a forwarding function. The system includes the forwarding function, implemented on a centralized node for a telecommunications network. The forwarding function is configured for receiving the media streams and forwarding each media stream to a respective lawful intercept mediation server for at least one country associated with the media stream. The forwarding function is configured for, in response to receiving a first packet of a first media stream from the SBC, performing a destination lookup for the first media stream and sending a mediation server identifier for the first media stream to the SBC. The SBC can be configured for sending a session release indicator and a direction flag to the forwarding function.

Abstract: A system for establishing a network communication between two or more users receives a request to establish a call between an endpoint device associated with a user and user equipment (UE) associated with a client. The system determines that the endpoint device is available for a call by querying a network node configured to route calls to the endpoint device. The system routes a first call to the endpoint device. The system routes a second call to the UE. The system establishes a call between the user and the client by merging the first call and the second call.

Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computer program products for generating an annotation for textual information and/or media content for technical documentation for an item in an interactive electronic technical manual system (IETM) configured to provide electronic and credentialed access to the technical documentation via an IETM viewer.