Visible to the public Hybrid Technique of Genetic Algorithm and Extended Diffie-Hellman Algorithm used for Intrusion Detection in Cloud

TitleHybrid Technique of Genetic Algorithm and Extended Diffie-Hellman Algorithm used for Intrusion Detection in Cloud
Publication TypeConference Paper
Year of Publication2020
AuthorsChaudhary, H., Sharma, A. K.
Conference Name2020 International Conference on Electrical and Electronics Engineering (ICE3)
Date PublishedFeb. 2020
PublisherIEEE
ISBN Number978-1-7281-5846-4
KeywordsAPI, APIs, application program interfaces, application programming interface, cloud computing, cloud transmission, compositionality, data storage, data thrashing, Denial of Services (DOS), extended Diffie-Hellman algorithm, Extension in Diffie-Hellman algorithm, genetic algorithm, genetic algorithms, hybridization, information breaches, insecure APIs, Intrusion detection, malicious insiders, pubcrawl, resilience, Resiliency, security of data, Threat
Abstract

It is a well-known fact that the use of Cloud Computing is becoming very common all over the world for data storage and analysis. But the proliferation of the threats in cloud is also their; threats like Information breaches, Data thrashing, Cloud account or Service traffic hijacking, Insecure APIs, Denial of Service, Malicious Insiders, Abuse of Cloud services, Insufficient due Diligence and Shared Technology Vulnerable. This paper tries to come up with the solution for the threat (Denial of Service) in cloud. We attempt to give our newly proposed model by the hybridization of Genetic algorithm and extension of Diffie Hellman algorithm and tries to make cloud transmission secure from upcoming intruders.

URLhttps://ieeexplore.ieee.org/document/9122978
DOI10.1109/ICE348803.2020.9122978
Citation Keychaudhary_hybrid_2020