Hierarchical Clustering of Group Behaviors in Cyber Situation Awareness

Yan Zhang, Lejian Liao, Chang Xu*, Manzhi Yang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

In cyber situation awareness, top-down simulation for group behaviors of attacks are unsupported to simulate unknown cliques of attackers. To solve this issue, we believe that hierarchical group behaviors as an abstract data type (ADT) can be agglomerated by other behavior types, such as individual and subgroup behaviors with a bottom-up way. In this paper, we propose a hierarchical clustering algorithm according to theory of ADTs. Specifically, behavioral algebra acts as a formalization approach of hierarchical relationship. Because this proposed algorithm reduces the time complexity of existing hierarchical clustering, it can implement agglomeration of group behaviors for simulation.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages400-401
Number of pages2
ISBN (Electronic)9781509037131
DOIs
Publication statusPublished - 21 Sept 2016
Event2nd IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016 - Vienna, Austria
Duration: 1 Aug 20163 Aug 2016

Publication series

NameProceedings - 2016 IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016

Conference

Conference2nd IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016
Country/TerritoryAustria
CityVienna
Period1/08/163/08/16

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