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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 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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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: | 00014 |
| 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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