WORKSHOP PROPOSAL: CYBER DECEPTION: MODELING, COMPUTATION AND ADAPTIVE LEARNING
Abstract
Cyber networks are ubiquitous but also vulnerable to attacks on multiple dimensions. Attackers no longer consist of individuals or small groups, but have expanded to include active engagement by state and other highly organized actors with significant resources, who employ increasingly sophisticated military intelligence techniques in their approaches and strategies for launching cyberattacks. It is thus, extremely important to design effective defense algorithms to protect cyber systems from such intelligent and well-organized attackers. Among different defense mechanisms, cyber deception is an economical technique, which can work effectively by providing misleading information to deceive attackers. The goal of this workshop is to bring together leading researchers from cyber security, AI researchers as well as cognitive scientists, who work on the research area of cyber deception against adaptive and intelligent adversaries, as well as practitioners and other interested parties. We expect an interdisciplinary gathering of experts in the area of cyber deception to improve our understanding of characteristics and effectiveness of deception techniques and algorithms, the dynamic nature of cyber and cyber-physical attacks, and the adaptive nature of the cyber defense. This workshop will shed light on key challenges and interdisciplinary research opportunities, with the ultimate goal of improving cyber defense.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 02, 2022
- Source ID
- W911NF2210079
Entities
People
- Cleotilde Gonzalez
Organizations
- Army Contracting Command
- Carnegie Mellon University
- United States Army