Abstract
Due to the increasing quantity and sophistication of cyber-attacks, Intrusion Detection Systems (IDSs) are nowadays considered mandatory security mechanisms for protecting critical networks. Research on cyber-security is moving from such isolated IDSs towards Collaborative IDSs (CIDSs) in order to protect large-scale networks. In CIDSs, a number of IDS sensors work together for creating a holistic picture of the monitored network. Our contribution in this paper is a novel distributed and scalable CIDS, called SkipMon. Our system supports, both, the idea of locality and privacy preserving communication by means of exchanging compact alert data. Furthermore, we propose a mechanism for interconnecting sensors that experience similar traffic patterns. The experimental results suggest that our CIDS, with our technique of connecting monitoring nodes that experience similar traffic, is scalable and offers a good accuracy rate compared to a centralized system with full knowledge of the participating sensors' data.
Original language | English |
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Title of host publication | 2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015 |
Publisher | IEEE Signal Processing Society |
Publication date | 17 Feb 2016 |
Article number | 7410282 |
ISBN (Electronic) | 9781467385909 |
DOIs | |
Publication status | Published - 17 Feb 2016 |
Externally published | Yes |
Event | 34th IEEE International Performance Computing and Communications Conference, IPCCC 2015 - Nanjing, China Duration: 14 Dec 2015 → 16 Dec 2015 |
Conference
Conference | 34th IEEE International Performance Computing and Communications Conference, IPCCC 2015 |
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Country/Territory | China |
City | Nanjing |
Period | 14/12/2015 → 16/12/2015 |
Series | 2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015 |
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Bibliographical note
Publisher Copyright:© 2015 IEEE.