METHODS FOR ADAPTIFE DEFENSE IN CYBER SECURITY

Abstract

Although a lot of thought has gone into the strategic analyses of cyber space, and many practitioners seem to have acquired a good intuitive and even conceptual grip of it, mathematical and computational models, necessary for scalable management of complex processes in cyber space, are still lacking. The main impediment to modeling network computation and cyber security seems to be a gap between our models of a computer, and of a network. This gap is reflected in the partition of our security research and techniques into cryptology on one hand, and system and network security on the other hand. We have sophisticated methods for building and analyzing crypto systems, based on the precise and well studied models of computation; and we have diverse research communities building and analyzing protocols and communication processes, based on the precise and well studied network models. But combining the two families of models either leads to unfeasibly complicated structures, or trivializes either the computational or the network aspects. We propose research towards bridging this gap.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 12, 2021
Source ID
FA95502010001

Entities

People

  • Dusko Pavlovic

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of HawaiĘ»i System

Tags

Fields of Study

  • Computer science

Readers

  • Cybersecurity.
  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

  • Cyber
  • Space