A Novel Scheme for Malicious Nodes Detection in Cloud Markets Based on Fuzzy Logic Technique

A Novel Scheme for Malicious Nodes Detection in Cloud Markets Based on Fuzzy Logic Technique

intrusion detection

cloud market

multiple criterion decision making

security mechanism

fuzzy Integral

malicious nodes

Cloud security vulnerabilities have recently become more prevalent around the world, posing a threat to cloud service providers' (CSPs) ability to respond to client demands. In cloud market, the requests are announced by the client nodes to their CSP. A malicious node can alter a client's request, resulting in the next cloud market collapse, decreased reliability, and data leaking.To identify malicious nodes in the cloud market, a novel fuzzy multiple criterion decision making scheme is suggested. Authentication test, trust level, traffic size, and node activity levels are all taken into consideration simultaneously as the major criteria for identifying malicious nodes. For each node, the CSP uses fuzzy Integral to generate a composite value based on these criteria. The malicious node is then removed from the cloud market using this composite value. The simulation results demonstrated the potential of the proposed method to prevent nodes in the cloud market from running malware or software that can be used to degrade quality of service by exhausting resources in the cloud market.

Alsarhan, Ayoub

Al-Ghuwairi, Abdel-Rahman

Alshdaifat, Esra'a

Idhaim, Hasan

alkhawaldeh, Omar

International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 03 (2022); pp. 136-150

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2022-02-10

Copyright (c) 2022 Ayoub Alsarhan, Abdel-Rahman Al-Ghuwairi, Esra'a Alshdaifat, Hasan Idhaim, Omar alkhawaldeh

https://creativecommons.org/licenses/by/4.0

application/pdf

eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Peer-reviewed Article