Page 2: Research news on Cybersecurity frameworks

Cybersecurity frameworks provide structured approaches for protecting digital, physical, and socio-technical systems from malicious activities and failures. Work in this area spans critical infrastructure and industrial control systems, cyber-physical and robotic platforms, telecommunications and hardware, and emerging domains such as NFTs and biosecurity. Methods include AI-driven intrusion detection, automated vulnerability discovery, side-channel and protocol analysis, insider threat modeling, and authentication and access control schemes, often embedded in holistic, multi-layered, and user-centered models of cyber resilience and crisis response.

Security

Computer scientists design a cyberattack to prevent cyberattacks

Protecting sensitive, precision-timed computing systems requires understanding the nature of cyberthreats. So researchers from Washington State University teamed up with experts at the University of Colorado Colorado Springs ...

Machine learning & AI

AI is rewriting cybersecurity's rules

AI is giving cybercriminals new speed and scale, but researchers say the technology could also become one of cybersecurity's strongest defenses.

Machine learning & AI

To defend your software, first teach AI to break it

When Ying Zhang was a doctoral student at Virginia Tech, she spent years learning to think like an attacker—probing software for the hidden weaknesses that developers miss and malicious actors exploit.

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