Army Researchers Develop Anomaly Detection Approach to Network Security

1 min read

The U.S. Army has developed an algorithm that can help protect networks and detect malicious activity with applications ranging from supply chain management to cybersecurity.

The Army said Monday its researchers were able to establish a higher-order network comprised of additional nodes that harvest social signals to identify emerging events throughout the network infrastructure.

According to the service branch, the higher-order network utilizes data streams to detect changes in the network commonly overlooked by traditional methods.

“The higher-order network analysis can find weak signals in a logistics network of adversarial actions that would be missed by first-order network representations,” said Lance Kaplan, a researcher at the Army Combat Capabilities Development Command’s Army Research Laboratory. “This can include preparations by non-state actors to launch an attack in support of a peer adversary.”

Plans are currently in place for further development and testing operations, with focus on maturing the concept for warfighting applications.

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