A method to implement traceability and provability on a particular project in software development based on blockchain-recorded transactions of assigned developer time, the method comprising of the following steps: setting up a blockchain network comprised of a distributed, redundant, and tamper-resistant ledger; issuing each user an attestable pre-fabricated and signed virtualized environment on approved hardware that comes with functionality required for the user's role implemented as one of a set of virtual machine templates fashioned from a signed and approved pre-fabricated image; and verifying that assigned developer time is valid, and if so, record each development action on the ledger to enable extensive tracking and auditing of end- to-end software development process.

Data processing systems and methods, according to various embodiments, are adapted for determining an applicable privacy policy based on various criteria associated with a user and the associated product or service. User and product criteria may be obtained automatically and/or based on user input and analyzed by a privacy policy rules engine to determine the applicable policy. Text from the applicable policy can then be presented to the user. A default policy can be used when no particular applicable policy can be identified using by the rules engine. Policies may be ranked or prioritized so that a policy can be selected in the event the rules engine identifies two, conflicting policies based on the criteria.

A system (100) and method for detecting a malicious programmable logic controller (PLC) code segment (110) in a PLC program corresponding to a specific type of PLC includes a binary parser (112) that parses the code segment (110) into a plurality of functional elements. A variable and function block mapper (114) maps the functional elements into a high-level data structure. A fuzzer (116) generates a behavioral model of the high-level data structure into an automaton (118). A classifier (120) predicts to which processes the automaton (118) corresponds. A detector (122) detects unsafe states in the automaton (118) and that generates an indication of a detected unsafe state.

Each of a secure computation server apparatuses includes a random number generation part that generates random numbers using a pseudo random number generator shared among the secure computation server apparatuses; a seed storage part that shares and stores a seed(s) used for generating random numbers in the random number generation part; a pre-generated random number storage part that stores random numbers generated by the random number generation part; a share value storage part that stores a share(s) to be a target of processing; a logical operation part that computes a carry to be transmitted and received among the secure computation server apparatuses using the random numbers and the share(s) to be a target of processing; an inner product calculation part that removes a mask from the carry; and an arithmetic operation part that performs a processing of erasing the carry to obtain a processing result.

A method for determining a risk level of an instance on a cloud server. The method includes: obtaining one or more monitoring items of an instance to be monitored and a rule base of each monitoring item; obtaining monitoring data corresponding to each monitoring item of the instance to be monitored; and determining a risk level of the instance to be monitored under each monitoring item based on the rule base and the monitoring data of each monitoring item.

A method for determining whether a power system is encountering a malicious attack is provided. The method comprises: receiving a plurality of first phasor measurement unit (PMU) measurements from a plurality of PMUs of the power system; determining a plurality of expected PMU measurements associated with a future time period based on an optimization algorithm that uses differences between a plurality of consecutive predictive entries and the plurality of first PMU measurements; receiving, from the plurality of PMUs, a plurality of second PMU measurements associated with the future time period; determining whether the power system is encountering the malicious attack based on comparing the plurality of expected PMU measurements with the plurality of second PMU measurements; and executing an action based on whether the power system is encountering the malicious attack.

Methods and systems are described herein for improvements for cybersecurity of telecommunication devices. For example, cybersecurity for telecommunication devices may be improved by analyzing activity log data of telecommunication devices for a candidate event (e.g., the uploading of malware) and disabling one or more services of a telecommunication device. By doing so, cybersecurity for telecommunication devices may be improved by detecting a possible malware intrusion attempt and disabling one or more services of the telecommunication devices. For example, activity log data of telecommunication devices may be obtained. A candidate event indicating malware may be detected in the activity log data. A number of proximate telecommunication devices satisfying a proximity threshold condition may be determined. The number of proximate telecommunication devices that satisfy a density threshold condition may be determined. Responsive to the number of telecommunication devices satisfying a density threshold condition, services of telecommunication devices may be disabled.

One disclosed method involves determining, by at least one computing system and based at least in part on input provided to a meeting application, at least a first topic of interest for a first user accessing the meeting application via a first client device, in response to determining the first topic of interest, querying, by the at least one computing system, at least one data source, external to the meeting application, for information corresponding to the first topic of interest, and causing, by the at least one computing system, the first client device to display a representation of the information.

A vehicular control apparatus is used in an onboard system provided with a plurality of information processors mutually connected via a communication bus, and includes a storage section for storing information, and an arithmetic section for executing a process based on the information stored in the storage section. The information contains first management information relating to a security abnormality as a communication data abnormality owing to security attack from outside the onboard system, and second management information relating to a safety abnormality as a communication data abnormality owing to an abnormality in the onboard system. The first management information contains first limit condition information indicating a first limit condition for executing a security coping with the security abnormality. The second management information contains second limit condition information indicating a second limit condition for executing a safety coping with the safety abnormality. Upon detection of the communication data abnormality in the onboard system, the arithmetic section determines a coping content to the detected communication data abnormality based on the first management information and the second management information.

Systems and methods for managing Application Programming Interfaces (APIs) are disclosed. Systems may involve automatically generating a honeypot. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving, from a client device, a call to an API node and classifying the call as unauthorized. The operation may include sending the call to a node-imitating model associated with the API node and receiving, from the node-imitating model, synthetic node output data. The operations may include sending a notification based on the synthetic node output data to the client device.