MalViz: An interactive visualization tool for tracing malware

Vinh The Nguyen, Akbar Siami Namin, Tommy Dang

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

5 Scopus citations

Abstract

This demonstration paper introduces MalViz, a visual analytic tool for analyzing malware behavioral patterns through process monitoring events. The goals of this tool are: 1) to investigate the relationship and dependencies among processes interacted with a running malware over a certain period of time, 2) to support professional security experts in detecting and recognizing unusual signature-based patterns exhibited by a running malware, and 3) to help users identify infected system and users' libraries that the malware has reached and possibly tampered. A case study is conducted in a virtual machine environment with a sample of four malware programs. The result of the case study shows that the visualization tool offers a great support for experts in software and system analysis and digital forensics to profile and observe malicious behavior and further identify the traces of affected software artifacts.

Original languageEnglish
Title of host publicationISSTA 2018 - Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis
EditorsEric Bodden, Frank Tip
PublisherAssociation for Computing Machinery, Inc
Pages376-379
Number of pages4
ISBN (Electronic)9781450356992
DOIs
StatePublished - Jul 12 2018
Event27th ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2018 - Amsterdam, Netherlands
Duration: Jul 16 2018Jul 21 2018

Publication series

NameISSTA 2018 - Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis

Conference

Conference27th ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2018
CountryNetherlands
CityAmsterdam
Period07/16/1807/21/18

Keywords

  • Digital forensics
  • Dynamic analysis
  • Malware visualization

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  • Cite this

    Nguyen, V. T., Siami Namin, A., & Dang, T. (2018). MalViz: An interactive visualization tool for tracing malware. In E. Bodden, & F. Tip (Eds.), ISSTA 2018 - Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis (pp. 376-379). (ISSTA 2018 - Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis). Association for Computing Machinery, Inc. https://doi.org/10.1145/3213846.3229501