Autonomic Defense of Distributed Information Security in Dynamic and Adversarial Environments
Abstract
The overarching goal of this research is to fill the current gap between available information flow assurance technologies and the n,eed for securing information flow in a Distributed, Dynamic, and aDversarial (referred to as D3) environment. To reach that goal, th,e central objective is to develop a new methodology for dynamic information flow security assurance, and a holistic framework that r,ealizes the methodology, that automatically senses, detects, and reacts to information flow security vulnerabilities and attacks in,a D3 environment at runtime. The key approach to realizing the objective is to tightly integrate scalable, cutting-edge code analysi,s (reasoning, transformation, and manipulation) techniques with novel machine learning models and algorithms tailored for working ef,fectively with software data and information flow security analysis tasks, so as to enable autonomy in defending the distributed inf,ormation infrastructure against adversaries.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 08, 2022
- Source ID
- N000142212111
Entities
People
- Haipeng Cai
Organizations
- Office of Naval Research
- United States Navy
- Washington State University