3-Tier Malware Detection on Cloud Computing

Jueun Jeon, Byeonghui Jeong, Young Sik Jeong

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

Abstract

With the proliferation of cloud computing, the need for advanced security measures in the cloud has become critical. Traditional malware detection methods, which are often limited to single-tier approaches, have become increasingly inadequate against evolving cyber threats. This research presents a comprehensive 3-tier malware detection framework explicitly designed for cloud computing environments. This system integrates data classification, behavioral analysis, and heuristic techniques to provide a multi-layered defense mechanism. The first tier, data classification, uses machine learning models to categorize incoming data and flag potential threats. The second, behavioral analysis, monitors complex data interactions and captures unusual patterns that indicate malware activity. The final tier, heuristics, refines the detection process using expert-driven rules derived from historical malware data. Together, these tiers provide enhanced security against both known malware and emerging zero-day threats. The findings in this paper provide a blueprint for a future where cloud environments can be more resilient and secure against malicious activity.

Original languageEnglish
Title of host publicationAdvances in Computer Science and Ubiquitous Computing - Proceedings of CUTE/CSA 2023
EditorsJi Su Park, Laurence T. Yang, Yi Pan, James J. Park
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-6
Number of pages4
ISBN (Print)9789819724468
DOIs
StatePublished - 2024
Event15th International Conference on Computer Science and its Applications, CSA 2023 and 17th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2023 - Nha Trang, Viet Nam
Duration: 18 Dec 202320 Dec 2023

Publication series

NameLecture Notes in Electrical Engineering
Volume1190 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference15th International Conference on Computer Science and its Applications, CSA 2023 and 17th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2023
Country/TerritoryViet Nam
CityNha Trang
Period18/12/2320/12/23

Keywords

  • Behavioral Analysis
  • Cloud Computing
  • Heuristic Technique
  • Malware Detection

Fingerprint

Dive into the research topics of '3-Tier Malware Detection on Cloud Computing'. Together they form a unique fingerprint.

Cite this