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A multi-factor coordinated formal description method for network attacks

  • Wei Wang
  • , Ke Kong*
  • , Hanlin Yang
  • , Tianyu Chen
  • , Gang Long
  • , Jideng Han
  • *Corresponding author for this work
  • Faculty of Computing, Harbin Institute of Technology

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

Abstract

Cyber attacks are often costly, and attack models can better help researchers analyze complex attack behavior. Traditional threat models focus on the logical description of attacks, thus neglecting other critical factors in attacks. Therefore, this paper proposes a multi-factor coordinated formal description method for network attacks. This approach can provide a more comprehensive description by combining network environment, attack nodes, target assets, and collaborative description of attack steps. First, this paper proposes a description method that approximates the network topology to similarly describe the complex network environment and attack nodes. Subsequently, MAL and ATT&CK matrices are used to describe the target assets and attack logic. The description methods from the two perspectives are combined to form a multi-factor coordinated formal description method. Finally, it is validated using actual attack cases. The method proposed in this paper can describe attack behavior more comprehensively.

Original languageEnglish
Title of host publicationThird International Conference on Computer Communication and Network Security, CCNS 2022
EditorsChuanjun Zhao, Hilal Imane
PublisherSPIE
ISBN (Electronic)9781510660113
DOIs
StatePublished - 2022
Externally publishedYes
Event3rd International Conference on Computer Communication and Network Security, CCNS 2022 - Hohhot, China
Duration: 15 Jul 202217 Jul 2022

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12453
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference3rd International Conference on Computer Communication and Network Security, CCNS 2022
Country/TerritoryChina
CityHohhot
Period15/07/2217/07/22

Keywords

  • ATT&CK
  • Cyber attack
  • MAL
  • cyber attack model
  • near network topology

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