Abstract: A method for blockchain full sharding based on a P2P storage network and a multi-layer architecture is provided. The entire network blockchain nodes are divided into a shard chain, a relay chain and a beacon chain by means of network sharding, that is, shard cross-chain communication is realized by using a beacon-relay-shard three-layer architecture or an architecture with more than three layers, so that the network requirement of the nodes has a linear relationship with the total number of TPS of the network. A transaction is divided into a W primitive and a D primitive. The D primitives are grouped and hash values corresponding to the D primitives are calculated: the W primitive is executed on an initiator's shard, the D primitive is stored in the P2P storage network, and the hash value corresponding to the primitive is communicated across the chain, and finally executed on a receiver's shard.

Abstract: An attachment to an e-mail message received at an e-mail gateway is scanned by a scan server and then is converted into an HTML file. The HTML file includes preview data of the attachment (minus any macro scripts), the entire original data of the attachment, scan functionality enabling a user to send the attachment back to a scan server for a second scan, or extract functionality enabling a user to extract the original attachment data for saving or opening in an application. The recipient is able to open or save the attachment directly if he or she believes it comes from a trusted sender. If the attachment seems suspicious, the recipient previews the attachment first before performing a scan, opening the attachment or deleting it. The recipient performs a scan of the attachment by clicking a “scan” button to send the attachment to a backend server for a second scan where an updated virus pattern file may be available to detect any zero-day malware.

Abstract: From a stream management service, indications of transmissions of data records of a first data stream via a persistent network connection associated with a subscription are provided to a stream processing application. In response to detecting that a transfer throttling condition associated with the subscription has been met, a delay is introduced before additional data records are transmitted via the same persistent network connection. After a subscription expiration period has elapsed, an indication of the expiration is provided to the application via the persistent connection.

Abstract: A computational instance may includes a set of computing devices and a configuration management database (CMDB), wherein the CMDB contains a representation of a service deployed on a managed network, wherein the representation of the service includes metadata, service group membership, and an entry point, and wherein the computational instance is configured to: receive an instruction to export the representation of the service to a file; copy, to a metadata object in the file, the metadata; determine a hierarchical subset of the service groups that are related to the service; write, to one or more service group objects in the file, the hierarchical subset of the service groups; determine, from a list of entry points of the managed network, that the entry point is of the service; and write, to an entry point object in the file, the entry point.

Abstract: A security server for dynamic verification of web content located on a platform in the cloud or in the edge which runs artificial intelligence (AI) algorithms including a collector receiving collection of user interactions from an adapted browser of a remote to simulate content of pages loaded on the device based on user interactions from an adapted browser located on the end-user device navigating on the web and for sampling the outcome of these interactions at irregular time intervals, this sample resulting a fixed image such as JPG or PNG, a data mining and artificial intelligence (AI) algorithm relying on image processing executed while sample interval to detect object or patterns on the displayed content, a heartbeat generator generates heartbeat at regular interval and transmits at a continuous interval to the end-user's device to indicate to the adapted browser of the device it may display the content.

Abstract: Disclosed embodiments provide a framework to assist bot managers and builders in identifying particular friction points between bots and customers to allow for real-time identification of bot conversation issues and to train bots to improve conversation flows. Conversation data is processed using machine learning models to detect bot states within conversations and calculate a Meaningful Automated Connection Score (MACS) for these conversations. The MACS for a conversation is provided to bot builders to allow the bot builders to identify friction points and update bots accordingly.

Abstract: Method and network elements (NEs) for enabling reliable application layer data transmission through an unreliable network are described. A proxy NE receives from a first NE through a first transport protocol connection first application layer data. The proxy NE transmits the first application layer data through a second transport protocol connection towards the second NE. The proxy NE receives from the first NE through the first transport protocol connection second application layer data that is destined to the second NE. Responsive to determining that there are no transport protocol connections for transmitting the second application layer date, the proxy NE stores the second application layer data in the first proxy NE. Responsive to determining that a third transport protocol connection is established towards the second NE, the proxy NE transmits the second application layer data through the third transport protocol connection towards the second NE.

Abstract: The present disclosure provides a detection system, comprising a client for unloading malicious HTTP traffic and a server for receiving and detecting the malicious HTTP traffic, wherein the server comprises an active label corrector for correcting noisy labels of the malicious HTTP traffic and a multi-field feature extractor for automatically discovering underlying features of the malicious HTTP traffic.

Abstract: Systems and method directed to providing a framework for a trustworthy and security compliant edge computing infrastructure are described. Such framework allows self-built edge datacenters to continue providing enhanced service quality in regions where user data and user privacy are of top concerns. In examples, the systems and methods may include an edge router configured to route a communication received from a mobile device to a network address translation appliance, the network address translation appliance associates an anonymous internet protocol address with an internet protocol address associated with the mobile device, and provides the request to an edge datacenter. The edge data center may request content and/or services from a technology partner datacenter via an application gateway for security and privacy that is configured to receive the request for content from the edge datacenter and determine if the request for content is associated with user protected information.

Abstract: Embodiments are disclosed for a method for a security model. The method includes identifying a plurality of primary semantic relationships between a plurality of initial incident artifacts for a security domain based on a plurality of historical incidents. The method further includes identifying a plurality of parsed incident artifacts from a security encyclopedia based on the initial incident artifacts. Additionally, the method includes determining a plurality of secondary semantic relationships between the parsed incident artifacts based on a natural language processing of the security encyclopedia. Also, the method includes determining a plurality of influence directions corresponding to the secondary semantic relationships based on the secondary semantic relationships and the historical incidents.

Abstract: A digital processor runs a machine learning algorithm in parallel with a sampling server. The sampling sever may continuously or intermittently draw samples for the machine learning algorithm during execution of the machine learning algorithm, for example on a given problem. The sampling server may run in parallel (e.g., concurrently, overlapping, simultaneously) with a quantum processor to draw samples from the quantum processor.

Abstract: The present disclosure provides an information interaction method, an apparatus, a device, a storage medium and a program product. In the information interaction method provided by the present disclosure, by acquiring a reply instruction acting on target information in an information display interface, inputting a target video used to reply to the target information in a shooting interface, thereby making a video reply to the target information in the information display interface. Taking advantage of a large amount of information carried by a video, reply content has a more obvious intention, so that while improving reply efficiency of a responder, it also makes it easier for a user to understand.

Abstract: A portable terminal includes a receiving unit which receives content information, an external device communication unit which conducts communication with an external information device, a display unit which displays the content information received by the receiving unit, an acquiring unit which acquires identification information identifying the content information displayed by the display unit, an operation unit which receives an operation indication from a user, and a control unit which conducts control such that if a transmission indication of the identification information is received by the operation unit while the content information is being displayed, the identification information acquired by the acquiring unit is transmitted to the external information device and the display of the content information by the display unit is terminated.

Abstract: A method for cloud-based, control-plane-event monitoring includes receiving control-plane events from a cloud-based element associated with a first and a second cloud environment. The received control-plane events are ingested from the cloud-based elements associated with the first and second cloud environments to generate a multiple-source data set from the control-plane events from the cloud-based elements associated with the first and second cloud environments. The multiple-source data set is then evaluated based on attributes of the first and second cloud environments in order to generate a common event data set. The common event data set is then processed using a rule set to generate an outcome.

Abstract: A network functions virtualization (NFV) network can be configured to operate according to NFV protocols that decouple software functionality from specific hardware elements. A referent system can be provided that identifies a precise physical location of devices associated with the NFV network relative to other equipment or devices associated with the NFV network.

Abstract: A computer-implemented method, in a content delivery (CD) network that delivers content on behalf of multiple content providers. The method includes, at a server in the CDN, wherein the server is currently processing at least one other request in at least one other session: receiving a connection request from a client, the connection request being associated with a corresponding content request; determining whether handling the content request will cause the server to become overloaded; and, based on the determining in (B) and on information about the content request, conditionally (i) accepting the content request, and (ii) terminating or throttling at least one session on the server.

Abstract: A central office point of delivery within a broadband access network of a telecommunications network includes: access network facing nodes; and a control function and/or a switching fabric and/or service edge nodes. Execution of network attachment tasks and/or further functional or configuration tasks within the central office point of delivery involves using an execution state database as well as stateless execution service functionalities being assigned to different execution stages realized within the central office point of delivery, and a message bus connecting the different execution stages, wherein the execution stages comprise at least an access stage, a processing stage, and a device stage, wherein the execution service functionalities—in order to process or execute the network attachment tasks and/or further functional or configuration tasks—generate a plurality of messages on the message bus and consume a plurality of messages from the message bus.

Abstract: System and method for correlating fabric-level group membership with subnet-level partition membership in a high performance computing environment. An exemplary embodiment can provide an admin partition in a subnet of a network environment, associated with a resource domain at the fabric level of the network environment. The admin partition can be defined by a P_Key that is stored in a fabric-level database. Each fabric resource is identified by an identifier that is stored in the fabric-level database. When fabric resources are added as members to the resource domain, a relationship is created between the P_Key and the identifier of the fabric resource, where the relationship defines the resource as a member of the admin partition. Access rights can be granted based on the relationship.

Abstract: In various embodiments of the present disclosure, output data generated by a deployed machine learning model may be received. An input data anomaly may be detected based at least in part on analyzing input data of the deployed machine learning model. An output data anomaly may further be detected based at least in part on analyzing the output data of the deployed machine learning model. A determination may be made that the input data anomaly contributed to the output data anomaly based at least in part on comparing the input data anomaly to the output data anomaly. A report may be generated that is indicative of the input data anomaly and the output data anomaly, and the report may be transmitted to a client device.

Abstract: A method for sensor event coverage and energy conservation includes receiving device sensor data for a plurality of sensors in a sensor network. The method further includes identifying one or more anomalies in the device sensor data that indicate one or more sensors from the plurality of sensors were acquiring data during an event for a specific point in time and identifying movement patterns for the plurality of sensors based on the one or more anomalies. The method further includes responsive to updating base engagement profiles for the plurality of sensors based on the one or more anomalies and the movement patterns, activating based on the updated base engagement profiled, a first sensor from the plurality of sensors.