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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/57292
Title: Securing Big Data Environments from Attacks
Contributor(s): Tupakula, Udaya  (author)orcid ; Varadharajan, Vijay (author)
Publication Date: 2016
DOI: 10.1109/BigDataSecurity-HPSC-IDS.2016.74
Handle Link: https://hdl.handle.net/1959.11/57292
Abstract: 

In this paper we propose techniques for securing big data environments such as public cloud with tenants using their virtual machines for different services such as utility and healthcare. Our model makes use of state based monitoring of the data sources for service specific detection of the attacks and offline traffic analysis of multiple data sources to detect attacks such as botnets.

Publication Type: Conference Publication
Conference Details: The Second IEEE International Conference on Big Data Security on Cloud, New York, United States of America, 9th - 10th April, 2016
Source of Publication: 2016 IEEE 2nd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC), and IEEE International Conference on Intelligent Data and Security (IDS), p. 109-112
Publisher: Institute of Electrical and Electronics Engineers Computer Society, Conference Publishing Services (CPS)
Place of Publication: United States of America
Fields of Research (FoR) 2020: 460407 System and network security
Socio-Economic Objective (SEO) 2020: 220405 Cybersecurity
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Appears in Collections:Conference Publication
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