TY - GEN
T1 - Cyber Security Assistant
T2 - 2nd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017
AU - Sayan, Carla
AU - Hariri, Salim
AU - Ball, George
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/9
Y1 - 2017/10/9
N2 - This paper focuses on the design and implementation of an Intelligent Cyber Security Assistant (ICSA) architecture that would provide intelligent assistance to a human security specialist. The ability to focus on rapidlydeveloping malicious events which have the most impact on the normal operations of cyber resources and services is both critical and challenging. Effectively responding tocyberattacks, which have been expanding at alarming rates, will require advanced machine learning to automatically detect attacks and intelligently recommend the mechanisms to render attackers incapable of re-launching new attacks. To effectively address these challenges, we present the design and implementation of an intelligent cyber assistant that will assist security analysts by efficiently and promptly defending cyberspace resources and services against both existing and novel attacks. Additionally, we show that the ICSA can adaptand learn efficiently to improve our intelligence gathering and analytics capabilities to perform sophisticated cyber situation awareness tasks and to develop automated and semiautomated actions to protect against discovered vulnerabilities.
AB - This paper focuses on the design and implementation of an Intelligent Cyber Security Assistant (ICSA) architecture that would provide intelligent assistance to a human security specialist. The ability to focus on rapidlydeveloping malicious events which have the most impact on the normal operations of cyber resources and services is both critical and challenging. Effectively responding tocyberattacks, which have been expanding at alarming rates, will require advanced machine learning to automatically detect attacks and intelligently recommend the mechanisms to render attackers incapable of re-launching new attacks. To effectively address these challenges, we present the design and implementation of an intelligent cyber assistant that will assist security analysts by efficiently and promptly defending cyberspace resources and services against both existing and novel attacks. Additionally, we show that the ICSA can adaptand learn efficiently to improve our intelligence gathering and analytics capabilities to perform sophisticated cyber situation awareness tasks and to develop automated and semiautomated actions to protect against discovered vulnerabilities.
KW - cyber security
KW - intelligent recommender assistant
KW - machine learning
KW - threat model
UR - http://www.scopus.com/inward/record.url?scp=85035228207&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85035228207&partnerID=8YFLogxK
U2 - 10.1109/FAS-W.2017.165
DO - 10.1109/FAS-W.2017.165
M3 - Conference contribution
AN - SCOPUS:85035228207
T3 - Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017
SP - 313
EP - 317
BT - Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 September 2017 through 22 September 2017
ER -