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 language | English |
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Title of host publication | 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 |
Editors | Meikang Qiu |
Place of Publication | Piscataway, NJ |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 109-112 |
Number of pages | 4 |
ISBN (Electronic) | 9781509024025 |
DOIs | |
Publication status | Published - 30 Jun 2016 |
Event | The Second IEEE International Conference on Big Data Security on Cloud - New York, United States Duration: 9 Apr 2016 → 10 Apr 2016 |
Other
Other | The Second IEEE International Conference on Big Data Security on Cloud |
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Country/Territory | United States |
City | New York |
Period | 9/04/16 → 10/04/16 |