Cyber Security Assistant: Design Overview

Carla Sayan, Salim Hariri, George Ball

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages313-317
Number of pages5
ISBN (Electronic)9781509065585
DOIs
StatePublished - Oct 9 2017
Event2nd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017 - Tucson, United States
Duration: Sep 18 2017Sep 22 2017

Publication series

NameProceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017

Other

Other2nd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017
Country/TerritoryUnited States
CityTucson
Period9/18/179/22/17

Keywords

  • cyber security
  • intelligent recommender assistant
  • machine learning
  • threat model

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Computational Mechanics

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