Abstract: Recommendations are made for granular traffic thresholds for a plurality of DDoS attack mitigation appliances that act as a set appliances. The set of appliances can be those commonly found in highly available networks, active-active or active-passive appliances, disaster recovery data centers, backup appliances, etc.

Abstract: A system may monitor an appendage gesture with a smart device, extrapolate a gesture direction, select an item on a display based on the gesture direction, and display the item on a second display on the smart device.

Abstract: An approach is provided in which the approach establishes a geo-fence around a user in response to the user invoking a video conversation corresponding to a conversational context. The approach determines an action in response to detecting an entity crossing the geo-fence. The action is based on the entity and the conversational context of the video conversation. The approach invokes the action by transmitting a message to a device in proximity to the entity.

Abstract: A device may receive customer data, and may identify unique communication channels associated with the customer data. The device may determine, based on the customer data, an optimal order for a Markov chain model, and may determine a model accuracy of the Markov chain model based on the optimal order. The device may transform transitions in the Markov chain model, based on the customer data, to generate transformed transitions, and may process the customer data, with a multi-level indexing model and based on the unique communication channels and the transformed transitions, to generate sparse matrices. The device may determine removal effects and steady state values for the sparse matrices, and may determine attribution weights for the unique communication channels based on the Markov chain model with the optimal order, the removal effects, and the steady state values. The device may perform actions based on the attribution weights.

Abstract: Aspects of the present invention disclose a method for managing aggregated comments of a forwarded media based on the sentiments of the forwarded media and relevance to a user. The method includes one or more processors identifying a user based at least in part on information provided by the user. The method further includes accessing user activity data utilizing the information provided by the user. The method further includes generating a first profile corresponding to the user based at least in part on the user activity data. The method further includes determining one or more preferences of the user based at least in part on the generated first profile. The method further includes identifying segments of textual data of forwarded media the user receives based at least in part on the preferences of the user, wherein the textual data corresponds to a comment associated with the forwarded media.

Abstract: A method includes: determining, by the computing device, an activity associated with a physical object in a physical environment, the physical object being a physical object about which a user lacks knowledge; retrieving, by the computing device and from a digital library, a digital object that is associated with the activity; personalizing, by the computing device, the digital object, the personalizing being based on feedback from prior interactions of the user with the digital object; generating, by the computing device, an augmented reality activity including the determined activity, the augmented reality activity comprising a reactive association between the personalized digital object and the physical object; and generating, by the computing device, an augmented reality animation that comprises the augmented reality activity, the physical object, and the personalized digital object.

Abstract: A first user access, directed to a first network document, of a first user is detected. One or more first network document concepts in the first network document are detected. A first user profile of the first user is retrieved based on the first user access. A first knowledge gap of the first user is identified based on the first network document concepts and based on the first user profile. One or more additional network documents are obtained based on the one or more first network document concepts. The additional network documents include at least a first concept of the one or more first network document concepts. The first network document is modified to include at least a portion of the first concept from the one or more additional network documents. The modification is based on the first knowledge gap and on the one or more additional network documents.

Abstract: Dynamically scaling control plane for ingress services for large numbers of applications with minimal traffic disruption includes receiving an estimate of a number of applications to be executed by multiple clusters implemented by an orchestrator platform. Each cluster includes multiple containers. The multiple clusters implement a centralized controller that control execution of the applications by the multiple clusters. The centralized controller is sharded into a variable number of controllers that collectively control the estimated number of applications based on the estimate of the number of applications and a pre-determined number of applications that each controller can control. Each controller of the variable number of controllers controls an execution of a respective subset of the applications. In response to a change in the number of applications over time, the number of controllers is modified based on a number of applications to be executed by the multiple clusters at any given time.

Abstract: Aspects of the present invention disclose a method for a user-to-machine interaction to authenticate a user to a delivery device prior to completion of delivery of goods or items. The method includes one or more processors identifying initiation of a delivery associated with a user. The method further includes generating an audio signature that corresponds to the delivery. The method further includes providing a digital file that includes the audio signature to a computing device associated with the user. The method further includes providing the digital file that includes the audio signature to a delivery vehicle. The method further includes authenticating the user with the delivery vehicle based at least in part on the digital file of the user and the digital file of the delivery vehicle.

Abstract: According to examples, an apparatus may include a processor that may generate a migration assessment for resources of a computer system. In particular, the apparatus may logically divide topological information to facilitate identification of a resource, components used by the resource, and dependencies. The system further enables users to specify user-defined migration parameters that specify the migration. For instance, the parameters may specify a cost associated with the migration of the component, a license model of the component, a security requirement of the component, a performance of the component, a customization of the component, or requirement of the component. Migration assessments and decisions may be stored to train machine-learned models. For instance, the model may assess whether a parameter will be satisfied by using a certain cloud service and whether substitutes have sufficiently satisfied dependencies based on observed migration assessments and actual migrations.

Abstract: A computer that generates a profile of a user based on user preferences, where the user preferences related to an optimal geolocation for the user within a workspace. The computer monitors biometric conditions of the user and environmental conditions of the workspace. The computer categorizes a plurality of areas of the workspace based on the environmental conditions and determines the optimal geolocation for the user by identifying an area within the plurality of areas based on the user preferences and the biometric conditions.

Abstract: Emulation has become a critical method for the initial phase of verification and validation processes. However, achieving interoperability between emulation systems and ensuring credibility of results currently require significant efforts. This disclosure relates to a system and method for providing an emulation as a service (EaaS) framework for communication networks. The EaaS framework provides discoverable services that are readily available on-demand and deliver a choice of applications in a flexible and adaptive manner. The EaaS framework is used for discovery, composition, execution, and management of emulation services. The EaaS framework defines user-facing capabilities (front-end) and underlying core functional infrastructure (back-end). The front end provides access to a large variety of emulation capabilities from which the user is able to select the services and track the experiences.

Abstract: Systems and methods for inspection of traffic between UE and the core network to mitigate DDoS attacks on mobile networks are provided. According to one embodiment, the method involves parsing SCTP packets and monitoring header anomalies to block anomalous packet floods. According to another embodiment, a memory table maintains requesting S1AP-IDs which have sent certain monitored commands and then blocking those which are sending these messages at abnormally high rates. According to yet another embodiment, a packet classifier parses the GTP-U protocol, unwraps the encapsulated IP packet and then monitors layer 3, 4 and 7 rate-based attacks such as UDP, ICMP, SYN, HTTP GET floods and drops them to protect the targeted Internet server as well as mobile infrastructure (e.g., the MME, the SGW, the PGW, and the PDN) downstream from the DDoS mitigation system.

Abstract: In a method for labeling nutritional parameters a processor receives a food order. The food order a first user profile identifying user preferences. A processor tracks preparation specifics of the food order. A processor determines a custom label for the food order based on the first user profile and the preparation specifics.

Abstract: A method, system, and non-transitory computer readable medium storing instructions executable by a computer processor, the instructions comprising functionality for determining remediation categories for a plurality of wells include: obtaining, by a computer processor, a plurality of attributions for the plurality of wells; obtaining, by the computer processor, a set of weightages for each of the plurality of attributes for the plurality of wells; generating, by the computer processor, a first Well Health Index (WHI) set for a well among the plurality of wells; generating, by the computer processor, a second WHI set for the well; determining, by the computer processor, a sum of weightages of the second WHI set for the well; determining, by the computer processor, a remediation category among a plurality of remediation categories for the well based on the sum of weightages; and generating, by the computer processor, tracking notifications and action reports for the well.

Abstract: Embodiments for delay-induced miscommunication reduction are provided.

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for enhancing a user's appetite with one or more augmented reality devices. The exemplary embodiments may include collecting data of the user, the user's environment, and one or more consumable items, extracting one or more features from the collected data, determining one or more augmented reality appetite enhancements based on the extracted one or more features and one or more models, and enhancing the user's appetite by way of the one or more augmented reality devices according to the determined one or more augmented reality appetite enhancements.

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for enhancing a user's appetite with one or more augmented reality devices. The exemplary embodiments may include collecting data of the user, the user's environment, and one or more consumable items, extracting one or more features from the collected data, determining one or more augmented reality appetite enhancements based on the extracted one or more features and one or more models, and enhancing the user's appetite by way of the one or more augmented reality devices according to the determined one or more augmented reality appetite enhancements.

Abstract: A method includes determining a presence of one or more people around a user and determining, based on the presence of the one or more people, an exposure level. The method also includes receiving a message for the user, the message comprising a first portion and a second portion and removing, based on the exposure level, the first and second portions from the message to produce a first message. The method further includes removing, based on the exposure level, the first portion from the message to produce a second message and presenting, based on the exposure level, the first message to the user. The method also includes receiving, from the user, feedback about the first message and presenting the second message to the user in response to the feedback.

Abstract: A first message is detected. The first message is directed towards a first messaging recipient in a messaging application. The first message contains one or more content items. A set of one or more candidate messaging recipients is determined based on the first message and based on a content analysis of the one or more content items. A second messaging recipient is identified from the set of one or more candidate messaging recipients. The identification is based on the content analysis. The first message is routed to the second messaging recipient. The first message is routed in response to the identifying the second messaging recipient.