Analysis of Machine Learning based Security Detection Systems in Cloud Computing Environment

Ms.Samineni Nagamani , Dr.S.Arivalagan , Dr.M.Senthil , Dr.P.Sudhakar

Security; Intrusion detection system; Cloud computing; Machine learning; Deep learning

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.

Published Paper   E-Certificate

"Analysis of Machine Learning based Security Detection Systems in Cloud Computing Environment", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.452 - 460, March-2023, Available :https://ijsdr.org/papers/IJSDR2303070.pdf

Volume 8 Issue 3, March-2023

Pages : 452 - 460

Paper Reg. ID: IJSDR_204381

Published Paper Id: IJSDR2303070

Downloads: 000347195

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2303070

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2303070

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition