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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Analysis of Machine Learning based Security Detection Systems in Cloud Computing Environment
Authors Name: Ms.Samineni Nagamani , Dr.S.Arivalagan , Dr.M.Senthil , Dr.P.Sudhakar
Unique Id: IJSDR2303070
Published In: Volume 8 Issue 3, March-2023
Abstract: Cloud Computing (CC) offers on-demand network access to a group of configurable computing resources like network, storage, service, server, and application, that is released quickly with lesser service provider connections or management endeavours. The distributed and open infrastructure of CC and service develops an attractive target for potential cyber-attacks with intruders. The classical Intrusion Detection and Prevention Systems (IDPS) were considered mostly ineffective that utilized in CC platforms because of their openness, dynamicity, and virtualization in existing services. This article offers an Analysis of Machine Learning oriented Intrusion Detection Systems in CC Environment. This paper identifies the probable solutions for intrusion detection and prevention in the cloud platform. The major features of IDS along with its types are defined clearly. Besides, the study surveys the recently developed IDS models for cloud environment, with the help of advanced approaches to resolve the issues posed by the CC needs. The reviewed methods are elaborated with the intention, technique used, and experimental results. At last, a detailed result analysis of the reviewed approaches was provided.
Keywords: Security; Intrusion detection system; Cloud computing; Machine learning; Deep learning
Cite Article: "Analysis of Machine Learning based Security Detection Systems in Cloud Computing Environment", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 3, page no.452 - 460, March-2023, Available :http://www.ijsdr.org/papers/IJSDR2303070.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2303070
Registration ID:204381
Published In: Volume 8 Issue 3, March-2023
DOI (Digital Object Identifier):
Page No: 452 - 460
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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