Using a Cognitive Architecture to Automate Cyberdefense Reasoning

Author

Benjamin, D. Paul ; Pal, Partha ; Webber, Franklin ; Rubel, Paul ; Atigetchi, Mike

Author_Institution

Pace Univ., New York, NY

fYear

2008

fDate

4-6 Aug. 2008

Firstpage

58

Lastpage

63

Abstract

The CSISM project is designing and implementing an automated cyberdefense decision-making mechanism with expert-level ability. CSISM interprets alerts and observations and takes defensive actions to try to ensure the survivability of the computing capability of the network. The project goal is a difficult one: to produce expert-level response in realtime with uncertain and incomplete information. Our approach is to emulate human reasoning and learning abilities by using a cognitive architecture to embody the reasoning of human cyberdefense experts. This paper focuses on the cognitive reasoning component of CSISM.

Keywords

cognitive systems; computer networks; decision making; security of data; CSISM project; automated cyberdefense decision-making mechanism; cognitive architecture; cognitive reasoning; cyberdefense reasoning; expert-level ability; Brain modeling; Computer architecture; Computer networks; Computer security; Decision making; Fires; Humans; Intelligent systems; Military computing; Testing; cognitive architecture; cybersecurity;

fLanguage

English

Publisher

ieee

Conference_Titel

Bio-inspired Learning and Intelligent Systems for Security, 2008. BLISS '08. ECSIS Symposium on

Conference_Location

Edinburgh

Print_ISBN

978-0-7695-3265-3

Type

conf

DOI

10.1109/BLISS.2008.17

Filename

4595796