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 |
|---|---|
| Title of host 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) |
| Editors | Meikang Qiu |
| Place of Publication | United States of America |
| Publisher | Institute of Electrical and Electronics Engineers Computer Society, Conference Publishing Services (CPS) |
| Pages | 109-112 |
| ISBN (Print) | 9781509024025 |
| DOIs | |
| Publication status | Published - 31 Dec 2016 |
| Event | The Second IEEE International Conference on Big Data Security on Cloud - New York, United States of America Duration: 9 Apr 2016 → 10 Apr 2016 |
Conference
| Conference | The Second IEEE International Conference on Big Data Security on Cloud |
|---|---|
| City | New York, United States of America |
| Period | 9/04/16 → 10/04/16 |
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