Autonomous Capability for Network Security Testing (RFT-665)

Invention Summary

In the rapidly evolving field of cybersecurity, anticipating and preparing for future cyber threats is a significant challenge. This technology provides automated cybersecurity penetration assessment. The system employs a distributed command mechanism that combines the features of a command-and-control (C2) system with botnet capabilities to simulate realistic cyberattacks. The system utilizes the Blackboard Architecture for decision-making, allowing for centralized coordination of multiple autonomous networked testing system (ANTS) attack nodes that carry out various simulated cyberattacks. These nodes autonomously probe, detect, and exploit vulnerabilities withing the target infrastructure, simulating persistent threats similar to real-world cyberattacks.

Benefits

Scalability-The system can efficiently test large and complex networks by utilizing a multi-node architecture. This facilitates thorough coverage and rapid vulnerability detection.
Realistic Simulation--Simulates persistent, multi-phased attacks, providing realistic assessment of how a network would fare against advance persistent threats.
Automation-Reduces the need for manual testing, thus lowering costs and improving efficiency. Automated re-testing capabilities ensure that remediated vulnerabilities do not reappear.
Modularity- Attack modules can be easily added, removed, or modified without altering the core system, enhancing adaptability and future-proofing.

Applications

Enterprise IT Security: Automated testing for identifying and mitigating vulnerabilities in enterprise networks, ensuring robust defense against cyber threats.
Critical Infrastructure Protection: Testing of critical infrastructure such as energy grids, financial networks, and healthcare systems against potential cyberattacks.
Government and Military: Secure government networks and military communication systems by simulating advanced persistent threat scenarios.

Patent

This technology has a U.S. Patent Pending US-2024-0291848-A1 and is available for licensing/partnering opportunities.

Contact

NDSU Research Foundation
info(at)ndsurf(dot)org
(701) 231-8173

NDSURF Tech Key

RFT, 665, RFT665

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