Vulnerability Assessment Tools for Complex Information Networks
Abstract
The specific aims of this research is to develop theories, methodologies, tools, and implementable solutions for modeling, analyzing, designing, and securing information networks against information-based attack. Accomplishments during the current reporting period are documented in 49 publications and 1 patent application and include: New methods for the optimization of complex systems; simulation-based methods for real-time decision making; proof-of-concept implementations of solutions for malware spreading and wireless data-link security; a feedback control approach for defense against DDoS; randomized protocols for managing the performance vs. security trade-off in wireless networks; automated Red Teaming tools and intrusion traceback methods for mobile ad-hoc wireless networks; a new dynamic Bayesian network based approach for detection and estimation in networked environments; and an adaptive defense architecture for fast spreading internet worms. Plans for the coming year will focus on further exploration of optimization, feedback and randomness in security; continued development of methods for security assessment, particularly in wireless settings; completion of the dynamic Bayesian framework for detection and estimation in networks; and a continued exploration of vulnerabilities and methods for military enterprise networks. These efforts will contribute new understanding and new approaches for securing and managing distributed, decentralized command and control systems.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 14, 2006
- Accession Number
- ADB329088
Entities
People
- Avrom Pfeffer
- Christos G. Cassandras
- David L. Pepyne
- Hong Liu
- Weibo Gong
- Wenke Lee
- Yu-chi Ho
Organizations
- Harvard University