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The disclosure relates to cyber security systems and more specifically to the use of game theory. Information security analysis can be performed using game theory implemented in dynamic simulations of Agent-Based Models (ABMs).
Almost every major computer network is defended by signature-based Intrusion Detection Systems (IDSs) that are designed to alert whenever a pattern that indicates a known exploit is detected.
The invention relates to RFID tags and more specifically to a protocol that provides both location and device authentication.
The invention relates to remote monitoring and more specifically to a system for acquiring sensor data on a global scale. This communication device allows a user to remotely activate a system and obtain status updates regarding that system.
The invention relates to remote monitoring and more specifically to a system for acquiring sensor data on a global scale.
With this technology, we propose a systematic method for constructing a potentially very large number of complementary anomaly detectors from a single probabilistic model of the data.
We present a novel combination of true random number generator devices with cryptographic and authentication systems.
In Scenario Driven Data Modeling a Semantic Model is created.
In current, graph based reliability models, modeling the effects of stimulus to the system is efficient, but representing component failure beyond simultaneous double-point failure has been computationally difficult.
The Functional Randomness in Security Tokens method and system improves the security of two-factor authentication hardware tokens by improving on the algorithms used to securely generate random data.