Word association norms, mutual information, and lexicography
Computational Linguistics
Ontology in information security: a useful theoretical foundation and methodological tool
Proceedings of the 2001 workshop on New security paradigms
Information retrieval on the semantic web
Proceedings of the eleventh international conference on Information and knowledge management
Probabilistic Alert Correlation
RAID '00 Proceedings of the 4th International Symposium on Recent Advances in Intrusion Detection
Aggregation and Correlation of Intrusion-Detection Alerts
RAID '00 Proceedings of the 4th International Symposium on Recent Advances in Intrusion Detection
Querying the Semantic Web: A Formal Approach
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
The analysis of noun sequences using semantic information extracted from on-line dictionaries
The analysis of noun sequences using semantic information extracted from on-line dictionaries
Retrieving collocations from text: Xtract
Computational Linguistics - Special issue on using large corpora: I
A hybrid approach for searching in the semantic web
Proceedings of the 13th international conference on World Wide Web
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
COLING-Roadmap '02 Proceedings of the 2002 COLING workshop: A roadmap for computational linguistics - Volume 13
The Description Logic Handbook
The Description Logic Handbook
M2D2: a formal data model for IDS alert correlation
RAID'02 Proceedings of the 5th international conference on Recent advances in intrusion detection
An ontology-based intrusion alerts correlation system
Expert Systems with Applications: An International Journal
Multi-stage change-point detection scheme for large-scale simultaneous events
Computer Communications
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Internet has grown by several orders of magnitude in recent years, and this growth has escalated the importance of computer security. Intrusion Detection System (IDS) is used to protect computer networks. However, the overwhelming flow of log data generated by IDS hamper security administrators from uncovering the hidden attack scenarios. Therefore, the autonomic IDS event analysis system is essential to make the IDS console smarter and more efficient. In this paper, we propose an IDS autonomic event analysis system represented by description logics, which allows inferring the attack scenarios and enabling the attack knowledge semantic queries. The modified case grammar PCTCG is used to convert raw alerts into frame-structured alert streams, and the alert semantic network 2-AASN is used to generate the attack scenarios, which can then inform the security administrator. Afterwards, based on the alert contexts, attack scenario instances are extracted, and attack semantic query results on attack scenario instances using spreading activation technique are forwarded to the security administrator.