Visible to the public Intrusion Detection System Using Genetic Algorithm for Cloud

TitleIntrusion Detection System Using Genetic Algorithm for Cloud
Publication TypeConference Paper
Year of Publication2016
AuthorsSingh, Tanya, Verma, Seema, Kulshrestha, Vartika, Katiyar, Sumeet
Conference NameProceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-3962-9
Keywordscyber physical systems, Fuzzy logic, Metrics, pubcrawl, Resiliency
Abstract

Cloud and its transactions have emerged as a major challenge. This paper aims to come up with an efficient and best possible way to transfer data in cloud computing environment. This goal is achieved with the help of Soft Computing Techniques. Of the various techniques such as fuzzy logic, genetic algorithm or neural network, the paper proposes an effective method of intrusion detection using genetic algorithm. The selection of the optimized path for the data transmission proved to be effective method in cloud computing environment. Network path optimization increases data transmission speed making intrusion in network nearly impossible. Intruders are forced to act quickly for intruding the network which is quite a tough task for them in such high speed data transmission network.

URLhttp://doi.acm.org/10.1145/2905055.2905175
DOI10.1145/2905055.2905175
Citation Keysingh_intrusion_2016