Evaluating pattern recognition techniques in intrusion detection systems

Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems, PRIS 2005, in Conjunction with ICEIS 2005

Volumn , Issue , 2005, Pages 144-153

  Esposito, M ^a,b   Mazzariello, C ^a   Oliviero, F ^a   Romano, S P ^a   Sansone, C ^a  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^b CMAI   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALOUS ACTIVITY; DATA SOURCE; DESIGN AND OPERATIONS; INTRUSION DETECTION SYSTEMS; NETWORK TRAFFIC; OPERATING SYSTEMS; OPERATIONAL SCENARIO; PATTERN RECOGNITION TECHNIQUES; POTENTIAL ATTACK; REAL-WORLD; RESEARCH FIELDS;

COMPUTER CRIME; COMPUTER OPERATING SYSTEMS; INFORMATION SYSTEMS; INTRUSION DETECTION;

PATTERN RECOGNITION SYSTEMS;

EID: 78650753809     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Vigna, G., Kemmerer, R.: Netstat: a network based intrusion detection system. Journal of Computer Security 7 (1999)
2. Andersson, D.: Detecting usual program behavior using the statistical component of the nextgeneration intrusion detection expert system (nides). Technical report, Computer Science Laboratory (1995)
3. Tyson, M.: Derbi: Diagnosys explanation and recovery from computer break-ins. Technical report (2000)
4. Laing, B., Alderson, J.: How to guide - implementing a network based intrusion detection system. Technical report, Internet Security Systems, Sovereign House, 57/59 Vaster Road, Reading (2000)
5. Bace, R.G.: Intrusion Detection. Macmillan Technical Publishing (2000)
6. Baker, A.R., Caswell, B., Poor, M.: Snort 2.1 Intrusion Detection - Second Edition. Syngress (2004)
7. Paxson, V., Terney, B.: Bro reference manual (2004)
8. Lee, W., Stolfo, S.J.: A framework for constructing features and models for intrusion detection systems. ACM Transactions on Information and System Security (TISSEC) 3 (2000) 227-261
9. Barbara, D., Couto, J., Jajodia, S., Popyack, L., Wu, N.: Adam: Detecting intrusion by data mining, IEEE (2001) 11-16 Workshop on Information Assurance and Security.
10. Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: From data mining to knowledge discovery in databases. AI Magazine (1996) 37-52
11. Stolfo, S.J., Fan, W., Lee, W., Prodromidis, A., Chan, P.: Cost-based modeling for fraud and intrusion detection results from the jam project. In: Proceeding of the 2000 DARPA Information Survivability Conferance and Exposition (DISCEX '00). (2000)
12. McHugh, J.: Testing intrusion detection systems: A critique of the 1998 and 1999 darpa intrusion detection system evaluations as performed by lincoln laboratory. ACM Transactions on Information and System Security 3 (2000) 262-294
13. Paxson, V., Floyd, S.: Difficulties in simulating the internet. IEEE/ACM Transactions on Networking 9 (2001) 392-403
14. Mahoney, M.: A Machine Learning Approach to Detecting Attacks by Identifying Anomalies in Network Traffic. PhD thesis, Florida Istitute of Technology (2003)
15. Esposito, M., Mazzariello, C., Oliviero, F., Romano, S.P., Sansone, C.: Real Time Detection of Novel Attacks by Means of Data Mining. In: Proceedings of 2005 ICEIS Conference, ACM (2005)
16. Cohen, W., Singer, Y.: Simple, fast, and effective rule learner. In: Proceedings of the Sixteenth National Conferance an Artificial Intelligence, AAAI Press / The MIT Press (1999) 335-342
17. Meir, R., Ratsch, G.: An introdution to boosting and leveraging. In Mendelson, S., Smola, A., eds.: Advanced Lectures an Machine Learning, Springer Verlag (2003) 119-184
18. Axelsson, S. In: The base-rate fallacy and the difficulty of intrusion detection. Volume 3 of ACM transaction on information and system security. ACM (2000) 186-205