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Virtual sandbox for malware analysis and threat detection

  • University of Bedfordshire

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

Abstract

The study consists of a thorough explanation of the development of a virtual sandbox which analyses malware and carries out threat detection. The methodology used for this research is Agile which ensured the effective isolation of suspicious software. Recon-ng for reconnaissance, decoy techniques for threat diversion, and AI-driven analysis for threat identification are the key components of this research. The regular testing and feedback were fundamental to refine the sandbox's capabilities, which led to a solution that enhances security by detecting and evaluating malicious behavior in a controlled environment.

Original languageEnglish
Title of host publicationProceedings - 2025 27th IEEE International Conference on High Performance Computing and Communications, 11th IEEE International Conference on Data Science and Systems, 23rd IEEE International Conference on Smart City, 11th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications and 21st IEEE International Conference on Embedded Software and Systems, HPCC/DSS/SmartCity/DependSys/ICESS 2025
EditorsJia Hu, Geyong Min, Haozhe Wang, Wang Miao, Lexi Xu, Nektarios Georgalas, Zhiwei Zhao, Rui Jin, Guangyao Pang, Wei Han, Fei Hao
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1619-1624
Number of pages6
ISBN (Electronic)9798331568740
DOIs
Publication statusPublished - 31 Oct 2025
Event27th IEEE International Conference on High Performance Computing and Communications, HPCC 2025 - Exeter, United Kingdom
Duration: 13 Aug 202515 Aug 2025

Publication series

NameProceedings - 2025 27th IEEE International Conference on High Performance Computing and Communications, 11th IEEE International Conference on Data Science and Systems, 23rd IEEE International Conference on Smart City, 11th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications and 21st IEEE International Conference on Embedded Software and Systems, HPCC/DSS/SmartCity/DependSys/ICESS 2025

Conference

Conference27th IEEE International Conference on High Performance Computing and Communications, HPCC 2025
Country/TerritoryUnited Kingdom
CityExeter
Period13/08/2515/08/25

Keywords

  • Agile Development
  • AI-Driven Detection
  • Cybersecurity
  • Deception Techniques
  • Malware Analysis
  • Recon-ng
  • Threat Detection
  • Virtual Sandbox

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management

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