Securing Big Data Environments from Attacks

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

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.

Original languageEnglish
Title of host publicationProceedings - 2nd IEEE International Conference on Big Data Security on Cloud, IEEE BigDataSecurity 2016, 2nd IEEE International Conference on High Performance and Smart Computing, IEEE HPSC 2016 and IEEE International Conference on Intelligent Data and Security, IEEE IDS 2016
EditorsMeikang Qiu
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages109-112
Number of pages4
ISBN (Electronic)9781509024025
DOIs
Publication statusPublished - 30 Jun 2016
EventThe Second IEEE International Conference on Big Data Security on Cloud - New York, United States
Duration: 9 Apr 201610 Apr 2016

Other

OtherThe Second IEEE International Conference on Big Data Security on Cloud
CountryUnited States
CityNew York
Period9/04/1610/04/16

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  • Cite this

    Tupakula, U., & Varadharajan, V. (2016). Securing Big Data Environments from Attacks. In M. Qiu (Ed.), Proceedings - 2nd IEEE International Conference on Big Data Security on Cloud, IEEE BigDataSecurity 2016, 2nd IEEE International Conference on High Performance and Smart Computing, IEEE HPSC 2016 and IEEE International Conference on Intelligent Data and Security, IEEE IDS 2016 (pp. 109-112). [7502273] Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/BigDataSecurity-HPSC-IDS.2016.74