The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Alert correlation in a cooperative intrusion detection framework
Abstract
This paper presents the work we have done within the MIRADOR project to design CRIM, a cooperative module for intrusion detection systems (IDS). This module implements functions to manage, cluster, merge and correlate alerts. The clustering and merging functions recognize alerts that correspond to the same occurrence of an attack and create a new alert that merge data contained in these various alerts. Experiments show that these functions significantly reduce the number of alerts. However, we also observe that alerts we obtain are still too elementary to be managed by a security administrator. The purpose of the correlation function is thus to generate global and synthetic alerts. This paper focuses on the approach we suggest to design this function.
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Citations
Cites
Snort - Lightweight Intrusion Detection for Networks
Roesch, M. (1999) · Cited by 3,163
Probabilistic Alert Correlation
Valdes, A., & Skinner, K. (2001) · Lecture Notes in Computer Science · doi:10.1007/3-540-45474-8_4 · Cited by 632
Aggregation and Correlation of Intrusion-Detection Alerts
Debar, H., & Wespi, A. (2001) · Lecture Notes in Computer Science · doi:10.1007/3-540-45474-8_6 · Cited by 616
A Database of Computer Attacks for the Evaluation of Intrusion Detection Systems
Kendall, K. R. (1999) · Cited by 375
Managing alerts in a multi-intrusion detection environment
Cuppens, F. (2005) · Annual Computer Security Applications Conference · doi:10.1109/acsac.2001.991518 · Cited by 254
Self-citationA large scale distributed intrusion detection framework based on attack strategy analysis
Huang, M.-Y., Jasper, R. J., & Wicks, T. M. (1999) · Computer Networks · doi:10.1016/s1389-1286(99)00114-0 · Cited by 137
ADeLe: An Attack Description Language for Knowledge-Based Intrusion Detection
Michel, C., & Mé, L. (2001) · IFIP advances in information and communication technology · doi:10.1007/0-306-46998-7_25 · Cited by 90
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs.
Lee, W., & Stolfo, S. J. (1999) · Cited by 17
Cited by
Scalable, graph-based network vulnerability analysis
Ammann, P., Wijesekera, D., & Kaushik, S. (2002) · Proceedings of the 9th ACM conference on Computer and communications security · doi:10.1145/586110.586140 · Cited by 697
Clustering intrusion detection alarms to support root cause analysis
Julisch, K. (2003) · ACM Transactions on Information and System Security · doi:10.1145/950191.950192 · Cited by 419
Practical Attack Graph Generation for Network Defense
Ingols, K., Lippmann, R., & Piwowarski, K. (2006) · 2006 22nd Annual Computer Security Applications Conference (ACSAC'06) · doi:10.1109/acsac.2006.39 · Cited by 379
A survey of coordinated attacks and collaborative intrusion detection
Zhou, C. V., Leckie, C., & Karunasekera, S. (2010) · Computers & Security · doi:10.1016/j.cose.2009.06.008 · Cited by 374
A Multidimensional Critical State Analysis for Detecting Intrusions in SCADA Systems
Carcano, A., Coletta, A., Guglielmi, M., Masera, M., Nai Fovino, I., & Trombetta, A. (2011) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2010.2099234 · Cited by 259
Metadata
- Authors
- Cuppens, F., & Miege, A.
- Venue
- Proceedings 2002 IEEE Symposium on Security and Privacy
- Publisher
- IEEE Comput. Soc
- Published
- 2005-08-24
- Pages
- 202-215
- ISSN
- 1081-6011 (ISSN-L)
- OpenAlex
- W2163277533
- Cited by
- 696
- References
- 8
- FWCI
- 44.65
- Type
- conference paper
- Language
- en
- Open access
- closed
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