The disclosed exemplary embodiments include computer-implemented systems, apparatuses, and processes that perform homomorphic computations on encrypted third-party data within a distributed computing environment. For example, an apparatus receives a homomorphic public key and encrypted transaction data characterizing an exchange of data from a computing system, and encrypts modelling data associated with a first predictive model using the homomorphic public key. The apparatus may perform homomorphic computations that apply the first predictive model to the encrypted transaction data in accordance with the encrypted first modelling data, and transmit an encrypted first output of the homomorphic computations to the computing system, which may decrypt the encrypted first output using a homomorphic private key and generate decrypted output data indicative of a predicted likelihood that the data exchange represents fraudulent activity.

Systems and methods of authenticating voice data using a ledger (blockchain). Examples include a scalable and seamless system that uses blockchain technologies to distribute trust of a conversation, authenticate persons in a conversation, track their characteristics and also to keep records of conversations. In some examples, smart phones, wearables, and Internet-of-Things (IoT) devices can be used to record and track conversations between individuals. These devices can each be used to create entries for the blockchain or a single device could be used to keep track of the entirety of the conversation. Fuzzy hashing may be used to compare newly created entries with previous entries on the ledger.

A method for preventing a replay attack on a Segment Routing over Internet Protocol version 6 (SRv6) keyed hashed message authentication code (HMAC) verification. The method includes a network device receiving an SRv6 packet comprising anti-replay attack verification information. The network device performs anti-replay attack verification based on the anti-replay attack verification information. The network device performs HMAC hash computation on the SRv6 packet in response to the first SRv6 packet passing passes the anti-replay attack verification.

Systems and methods authenticate storage devices. In one implementation, a computer-implemented method is provided for authenticating a storage device. According to the method, a manifest that identifies a destination is receive. A transfer station reads a digital signature from the storage device. The digital signature is validated and, based on the validation of the digital signature, a transfer of one or more files from the storage device via the transfer station is authorized to the destination identified in the manifest.

Tools, strategies, and techniques are provided for evaluating the identities of different entities to protect individual consumers, business enterprises, and other organizations from identity theft and fraud. Risks associated with various entities can be analyzed and assessed based on analysis of social network data, professional network data, or other networking connections, among other data sources. In various embodiments, the risk assessment may include calculating an authenticity score based on the collected network data.

Techniques and screening messages based on tags in an automotive environment, such as, messages communicated via a communication bus, like the CAN bus. Messages can be tagged with either a binary or probabilistic tag indicating whether the message is fraudulent. ECUs coupled to the CAN bus can receive the messages and the message tags and can determine whether to fully consume the message based on the tag.

A method for automatically sensing attack behaviors, the method including: distributing a service request from a network switch to a response module, where the response module includes a main controller configured for data interaction processing and an auxiliary controller configured for interactive data processing; generating, by the main controller and the auxiliary controller in the response module, respective response data according to the service request, respectively; and comparing the respective response data of the main controller with the respective response data of the auxiliary controller; if a result of comparison is inconsistent, indicating the network switch is abnormal, an administrator is informed, and the response data generated by the auxiliary controller is fed back to the network switch; and, if the result of comparison is consistent, the response data generated by the main controller is fed back to the network switch.

A non-transitory computer readable medium comprising instructions stored thereon, the instructions effective to cause at least one processor to: establish trustworthiness of an application installed on a endpoint, the established trustworthiness is sufficient for an enterprise security infrastructure to treat the application installed on the endpoint and the endpoint as a trusted application and a trusted endpoint; negotiate with the trusted endpoint to determine a traffic inspection method for traffic flows originating at the trusted application that is destined for a service, the traffic inspection method is determined based on at least the trusted application, and the service; and instruct the trusted application of the determined traffic inspection method.

A system, method, and computer-readable storage medium is provided for creating first and second blockchain instances, each comprising representative blocks corresponding to steps in first and second multistep processes, respectively; performing a linking operation to link a block in the first blockchain instance to a block in the second blockchain instance; receiving change evidence data pertaining to steps in one of the first and second multi-step processes; and performing an update operation comprising updating one of the first and second blockchain instances based on said change evidence data.

Methods, computer readable media, and devices for securely managing interactions between distributed components are provided. One method may include generating a first interaction identifier based on a first component identifier and data to be shared with a second component, storing the first interaction identifier in an interaction data store of the first component, sending a request to the second component including the first component identifier, the first interaction identifier, and the data to be shared with the second component, creating a graph node in an interaction relationship data store based on the first interaction identifier, receiving a response from the second component including a second component identifier, a second interaction identifier, and response data, and adding a relationship edge in the interaction relationship data store connecting the graph node based on the first interaction identifier with a graph node based on the second interaction identifier.