Detection of Worms Over Cloud Environment: A Literature Survey

M. Thangavel, B. Jeyapriya, K. S. Suriya

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

In recent years, computer worms are the remarkable difficulties found in the distributed computing. The location of worms turns out to be more unpredictable since they are changing quickly and much more refined. The difficulties in gathering worm’s payload were recognized for identifying and gathering worm’s payloads and the honey pot which is high-intelligent to gather the payload of zero-day polymorphic heterogeneous and homogeneous stages in distributed computing. The Signature-based discovery of worms strategies work with a low false-positive rate. We propose an irregularity based interruption location instrument for the cloud which specifically benefits from the virtualization advancements all in all. Our proposed abnormality location framework is detached from spreading computer worm contamination and it can recognize new computer worms. Utilizing our methodology, a spreading computer worm can be distinguished on the spreading conduct itself without getting to or straightforwardly affecting running virtual machines of the cloud.

Original languageEnglish
Title of host publicationResearch Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing
PublisherIGI Global
Pages2472-2495
Number of pages24
ISBN (Electronic)9781799853404
ISBN (Print)9781799853398
DOIs
Publication statusPublished - Jan 1 2021
Externally publishedYes

ASJC Scopus subject areas

  • General Computer Science

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