Systems and methods of providing immutable records, and immutable ordering of records, in a computing system are disclosed. The computing system can be a member of a blockchain network of a plurality of blockchains. Each block can include a cryptographic digest (or hash) conforming to a minimum degree of difficulty, a nonce by which the cryptographic digest was generated in conformation with the degree of difficulty, and a list of cryptographic digests of most recent blocks of participating neighbor blockchains. Blocks may be passed between blockchains of the plurality of blockchains, which enables each member of the blockchain network to verify an immutable record of data transactions free of the mutual trust requirement of a typical blockchain environment. In conjunction with the generation of each block, an event record may be entered into an event log of the computing system wherein the block was generated. The event record, which may contain actionable instructions, requests, etc., may be transmitted to computing systems of participating neighbor blockchains, where actionable items may be acted upon. Further, the event logs of each computing system may be exchanged, compared, and adjusted to reflect the earliest appearance of each block of each participating neighbor blockchain.

An example operation may include one or more of receiving a blockchain request from a client application in a blockchain network, receiving validity information of a timestamp included in the blockchain request from one or more endorsing nodes in the blockchain network, modifying the timestamp included in the blockchain request based on the validity information received from the one or more endorsing nodes, ordering the blockchain request among a group of blockchain requests based on the modified timestamp with respect to timestamps of other blockchain requests in the group, and storing the ordered group of blockchain requests within a data block among a hash-linked chain of data blocks.

Systems, methods, and computer-readable media for authenticating time sources using attestation-based techniques include receiving, at a destination device, a time reference signal from a source device, the source and destination devices being network devices. The time reference signal can include a time synchronization signal or a time distribution signal. The destination device can obtain attestation information from one or more fields of the time reference signal and determine whether the source device is authentic and trustworthy based on the attestation information. The destination device can also determine reliability or freshness of the time reference signal based on the attestation information. The time reference signal can be based on a Network Time Protocol (NTP), a Precision Time Protocol (NTP), or other protocol. The attestation information can include Proof of Integrity based a Canary stamp, a hardware fingerprint, a Secure Unique Device Identification (SUDI) of the source device, or an attestation key.

A system and a method are disclosed for describing a mechanism for tracking malicious activity detected on a network. For example, based on network data collected from a server, the disclosed system may detect malicious activity originating from a client device directed to the server. To detect the malicious activity, network data may be captured by the server and analyzed. When malicious activity is detected, the system may track the malicious activity, using the network data, to an earliest connection date of a client device from where the malicious activity potentially originated. The earliest connection date may indicate a potential start date of the malicious activity

Methods, systems, apparatuses, and computer program products are provided for evaluating security detections. A detection instance obtainer obtains detection instances from a pool, such as a security detections pool. The detection instances may be obtained for detections that meet a predetermined criterion, such as detections that have not been onboarded or rejected, or detections that have generated detection instances for a threshold time period. The detection may be onboarded or rejected automatically based on a volume thresholder and/or a detection performance evaluator. For instance, the volume thresholder may be configured to automatically onboard the detection if the volume of the detection instances is below a first threshold, and reject the detection if the volume is above a second threshold. The detection performance evaluator may be configured to onboard or reject the detection based on an efficacy of the detection (e.g., based on a true positive rate of the detection instances).

Systems, methods, and computer-readable media for assessing reliability and trustworthiness of devices operating within a network. An ARP responder can receive an ARP request from an ARP requestor for performing address resolution between the ARP requestor and the ARP responder in a network environment. The ARP responder can build an ARP response including attestation information of the ARP responder. Further, the ARP responder can provide, to the ARP requestor, the attestation information for verifying the ARP responder using the ARP response and the attestation information of the ARP responder.

A sending device may send data intended for a target device. An intermediate device may intercept the data sent from the sending device and forward the communications to the target device. Security data (e.g., a security certificate for authentication) along with an encrypted version of the security data may be sent at the application layer such that it passes from the sending device, through the intermediate device, and to the target device without being analyzed or modified by the intermediate device. The target device may use the encrypted security data and the security data to verify the identity of the sending device

Systems and methods of managing fraudulent devices are provided. The system detects a request for a connection to communicatively couple a technician computing device with a receiver computing device. The system identifies connection data for the connection. The system requests, based on the connection data, a plurality of account values. Each of the plurality of account values is associated with an account that the technician computing device used to establish the connection. The system generates a score indicating a fraudulent level of the account based on the plurality of account values. The system terminates, responsive to a comparison of the score with a fraud threshold, the connection. The system transmits, to a ticketing system, a support ticket generated responsive to the comparison of the score with the fraud threshold.

Methods and systems for managing user privacy information in a distributed fashion are provided. In one embodiment, a method is provided that may include receiving an identity with device information that is less sensitive and user information that is more sensitive. The user information may then be encrypted and stored on a repository, and indications of the encrypted device information and the encrypted user information may be stored on a distributed ledger. The method may further include enforcing a first access policy on the encrypted device information and a second access policy on encrypted user information.

A cognitive security analytics platform is enhanced by providing a technique for automatically inferring temporal relationship data for cybersecurity events. In operation, a description of a security event is received, typically as unstructured security content or data. Information such as temporal data or cues, are extracted from the description, along with security entity and relationship data. Extracted temporal information is processing according to a set of temporal markers (heuristics) to determine a time value marker (i.e., an established time) of the security event. This processing typically involves retrieval of information from one or more structured data sources. The established time is linked to the security entities and relationships. The resulting security event, as augmented with the identified temporal data, is then subjected to a management operation.