Analysis of Big Data Security Schemes for Detection and Prevention from Intruder Attacks in Cloud Computing

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Amit Chaturvedi, Fayaz Ahmad Lone
10.5120/ijca2017912831

Amit Chaturvedi and Fayaz Ahmad Lone. Analysis of Big Data Security Schemes for Detection and Prevention from Intruder Attacks in Cloud Computing. International Journal of Computer Applications 158(5):26-30, January 2017. BibTeX

@article{10.5120/ijca2017912831,
	author = {Amit Chaturvedi and Fayaz Ahmad Lone},
	title = {Analysis of Big Data Security Schemes for Detection and Prevention from Intruder Attacks in Cloud Computing},
	journal = {International Journal of Computer Applications},
	issue_date = {January 2017},
	volume = {158},
	number = {5},
	month = {Jan},
	year = {2017},
	issn = {0975-8887},
	pages = {26-30},
	numpages = {5},
	url = {http://www.ijcaonline.org/archives/volume158/number5/26905-2017912831},
	doi = {10.5120/ijca2017912831},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Big Data Security is a major paradigm for research on cloud networks. Big Data (BD), with their potential to ascertain valued insights for enhanced decision-making process, have recently attracted substantial interest from both academics and practitioners. Big Data Analytics (BDA) is increasingly becoming a trending practice that many organizations are adopting with the purpose of constructing valuable information from BD. The analytics process, including the deployment and use of BDA tools, is seen by organizations as a tool to improve operational efficiency though it has strategic potential, drive new revenue streams and gain competitive advantages over business rivals. In this paper, our aim to present the various application of IDS in cloud computing.

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Keywords

Multi-tenancy, cloud, Big Data, Security, Intruder, Attack, scalability.