The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Techniques and tools for analyzing intrusion alerts
Abstract
Traditional intrusion detection systems (IDSs) focus on low-level attacks or anomalies, and raise alerts independently, though there may be logical connections between them. In situations where there are intensive attacks, not only will actual alerts be mixed with false alerts, but the amount of alerts will also become unmanageable. As a result, it is difficult for human users or intrusion response systems to understand the alerts and take appropriate actions. This paper presents a sequence of techniques to address this issue. The first technique constructs attack scenarios by correlating alerts on the basis of prerequisites and consequences of attacks. Intuitively, the prerequisite of an attack is the necessary condition for the attack to be successful, while the consequence of an attack is the possible outcome of the attack. Based on the prerequisites and consequences of different types of attacks, the proposed method correlates alerts by (partially) matching the consequences of some prior alerts with the prerequisites of some later ones. Moreover, to handle large collections of alerts, this paper presents a set of interactive analysis utilities aimed at facilitating the investigation of large sets of intrusion alerts. This paper also presents the development of a toolkit named TIAA, which provides system support for interactive intrusion analysis. This paper finally reports the experiments conducted to validate the proposed techniques with the 2000 DARPA intrusion detection scenario-specific datasets, and the data collected at the DEFCON 8 Capture the Flag event.
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Cites
Mining association rules between sets of items in large databases
Agrawal, R., Imieliński, T., & Swami, A. (1993) · Proceedings of the 1993 ACM SIGMOD international conference on Management of data · doi:10.1145/170035.170072 · Cited by 14,907
Computer security threat monitoring and surveillance
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Automated generation and analysis of attack graphs
Sheyner, O., Haines, J., Jha, S., Lippmann, R., & Wing, J. M. (2005) · Proceedings 2002 IEEE Symposium on Security and Privacy · doi:10.1109/secpri.2002.1004377 · Cited by 1,293
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State transition analysis: a rule-based intrusion detection approach
Ilgun, K., Kemmerer, R. A., & Porras, P. A. (1995) · IEEE Transactions on Software Engineering · doi:10.1109/32.372146 · Cited by 747
Alert correlation in a cooperative intrusion detection framework
Cuppens, F., & Miege, A. (2005) · Proceedings 2002 IEEE Symposium on Security and Privacy · doi:10.1109/secpri.2002.1004372 · Cited by 696
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
Bace, R. G. (1999) · Cited by 498
Constructing attack scenarios through correlation of intrusion alerts
Ning, P., Cui, Y., & Reeves, D. S. (2002) · Proceedings of the 9th ACM conference on Computer and communications security · doi:10.1145/586110.586144 · Cited by 495
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Hierarchical, model-based risk management of critical infrastructures
Baiardi, F., Telmon, C., & Sgandurra, D. (2009) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2009.02.001 · Cited by 43
Metadata
- Authors
- Ning, P., Cui, Y., Reeves, D. S., & Xu, D.
- Venue
- ACM Transactions on Information and System Security
- Published
- 2004-05
- Volume
- 7
- Issue
- 2
- Pages
- 274-318
- ISSN
- 1094-9224 (ISSN-L)
- 1557-7406
- OpenAlex
- W2115149820
- Cited by
- 254
- References
- 31
- FWCI
- 23.17
- Type
- journal article
- Language
- en
- Open access
- closed
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