A Big Data Analytics Based Approach to Anomaly Detection
| Title | A Big Data Analytics Based Approach to Anomaly Detection |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | Razaq, Abdul, Tianfield, Huaglory, Barrie, Peter |
| Conference Name | Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4617-7 |
| Keywords | advanced persistent threat, advanced persistent threats, Big Data, big data security, big data security in the cloud, cloud, composability, event correlation, Human Behavior, IDS/IPS, process auditing, pubcrawl, Resiliency, security analytics, SIEM |
| Abstract | We present a novel Cyber Security analytics framework. We demonstrate a comprehensive cyber security monitoring system to construct cyber security correlated events with feature selection to anticipate behaviour based on various sensors. |
| URL | http://doi.acm.org/10.1145/3006299.3006317 |
| DOI | 10.1145/3006299.3006317 |
| Citation Key | razaq_big_2016 |