Proceedings of the 2nd International Workshop on Adaptive Cyber Defense

• URL: http://arxiv.org/abs/2308.09520v5
• Date: Tue, 2 Jul 2024 16:45:39 GMT
• Title: Proceedings of the 2nd International Workshop on Adaptive Cyber Defense
• Authors: Marco Carvalho, Damian Marriott, Mark Bilinski, Ahmad Ridley,
• Abstract summary: The 2nd International Workshop on Adaptive Cyber Defense was held at the Florida Institute of Technology, Florida. This workshop was organized to share research that explores unique applications of Artificial Intelligence (AI) and Machine Learning (ML) The cyber domain cannot currently be reliably and effectively defended without extensive reliance on human experts.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The 2nd International Workshop on Adaptive Cyber Defense was held at the Florida Institute of Technology, Florida. This workshop was organized to share research that explores unique applications of Artificial Intelligence (AI) and Machine Learning (ML) as foundational capabilities for the pursuit of adaptive cyber defense. The cyber domain cannot currently be reliably and effectively defended without extensive reliance on human experts. Skilled cyber defenders are in short supply and often cannot respond fast enough to cyber threats. Building on recent advances in AI and ML the Cyber defense research community has been motivated to develop new dynamic and sustainable defenses through the adoption of AI and ML techniques to cyber settings. Bridging critical gaps between AI and Cyber researchers and practitioners can accelerate efforts to create semi-autonomous cyber defenses that can learn to recognize and respond to cyber attacks or discover and mitigate weaknesses in cooperation with other cyber operation systems and human experts. Furthermore, these defenses are expected to be adaptive and able to evolve over time to thwart changes in attacker behavior, changes in the system health and readiness, and natural shifts in user behavior over time. The workshop was comprised of invited keynote talks, technical presentations and a panel discussion about how AI/ML can enable autonomous mitigation of current and future cyber attacks. Workshop submissions were peer reviewed by a panel of domain experts with a proceedings consisting of six technical articles exploring challenging problems of critical importance to national and global security. Participation in this workshop offered new opportunities to stimulate research and innovation in the emerging domain of adaptive and autonomous cyber defense.

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