Dark Matter in Cyber Space Towards Categorical Semantics of Deceit
Abstract
As our physical environments narrow, our cyber environments extend along an ever wider variety of communication channels. This expansion of the cyber space determines how we interact, how we do research, how we gather information and reason about it. The expansion if the cyber space has already completely transformed our economic, political, and social life, gradually and in many cases unpredictably. The difference between the expansion of the physical space and the expansion of the cyber space is that the former increases the physical distances between he cosmic debris, whereas the latter decreases the distances between the information fragments in the cyber space. The crucial conceptual advance and the main intellectual challenge of the proposed investigations is a paradigm shift against the standard model of network computation: the step from the concept of selfish, autonomous agents as network computers to autonomous but trust-driven actors, assigned evolving roles in network processes. The crucial technical feature of the approach is the use of categorical methods for structural abstraction and for organization and systematization of scientific methodologies. This approach was at the core of all of our previous work in security, albeit seldom explicitly, as the categorical language had little traction in the security communities. The situation seems to be changing, with a new generation of category theorists focusing on applications. While the proposed research is unlikely to level the steeply biased field of cybersecurity practices, it seems reasonable to expect that its impact on the theoretical side of security science will assure significant practical benefits. This optimism is grounded on recent striking solutions of long-standing open problems, bringing to fruition the previous long-term efforts. The resulting technical innovations in concept mining open an alley to testable mitigations, which will be detailed in the proposal.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 12, 2022
- Source ID
- FA95502110001
Entities
People
- Dusko Pavlovic
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Hawaiʻi System