SCOPUS 정보 검색 플랫폼

Proceedings - International Conference on Pattern Recognition

Volumn 16, Issue 2, 2002, Pages 390-393

Intrusion detection in computer networks by multiple classifier systems

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER NETWORKS; COMPUTER SOFTWARE; PATTERN RECOGNITION; SECURITY OF DATA; SENSOR DATA FUSION; DATA FUSION; MERCURY (METAL); NETWORK SECURITY; PATTERN RECOGNITION SYSTEMS;

INTRUSION DETECTION; INTRUSION DETECTION SYSTEMS; MULTIPLE CLASSIFIER SYSTEMS;

CLASSIFICATION (OF INFORMATION); INTRUSION DETECTION;

CLASSIFIER COMBINATION; INTRUSION DETECTION SYSTEMS; MODERN COMPUTER SYSTEMS; MULTIPLE CLASSIFIER SYSTEMS; NETWORK INTRUSION DETECTION; PROTECTION LEVEL; STRATEGIC ROLE;

EID: 30644460786 PISSN: 10514651 EISSN: None Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper

Times cited : (33)

References (11)

1
- 0034270431
- Defending yourself: The role of intrusion detection systems
- Sept./Oct.
- J. McHugh, A. Christie, and J. Allen, "Defending Yourself: The Role of Intrusion Detection Systems", IEEE Software, Sept./Oct. 2000, pp. 42-51
- (2000) IEEE Software , pp. 42-51
- McHugh, J.¹ Christie, A.² Allen, J.³

2
- 0003914957
- Prentice Hall
- P.E. Proctor, The Practical Intrusion Detection Handbook, Prentice Hall, 2001
- (2001) The Practical Intrusion Detection Handbook
- Proctor, P.E.¹

3
- 85084160308
- A study in using neural networks for anomaly and misuse detection
- August 23-26, Washington, USA
- A.K. Ghosh and A. Schwartzbard, "A Study in Using Neural Networks for Anomaly and Misuse Detection", Proc. of the USENIX Security Symposium, August 23-26, 1999, Washington, USA.
- (1999) Proc. of the USENIX Security Symposium
- Ghosh, A.K.¹ Schwartzbard, A.²

4
- 0037752437
- PhD Thesis, School of Comp. and Inf. Sci., Nova Southeastern University
- J. Cannady, "An adaptive neural network approach to intrusion detection and response", PhD Thesis, School of Comp. and Inf. Sci., Nova Southeastern University, 2000.
- (2000) An Adaptive Neural Network Approach to Intrusion Detection and Response
- Cannady, J.¹

5
- 0031644250
- Neural Networks applied in intrusion detection systems
- J.M. Bonifacio et al. "Neural Networks applied in intrusion detection systems", Proc. of the IEEE World congress on Comp. Intell. (WCCI '98), 1998.
- (1998) Proc. of the IEEE World Congress on Comp. Intell. (WCCI '98)
- Bonifacio, J.M.¹

6
- 0038428854
- Results of the KDD'99 Classifier Learning
- C. Elkan, "Results of the KDD'99 Classifier Learning", ACM SIGKDD Explorations, 1, 2000, 63-64.
- (2000) ACM SIGKDD Explorations , vol.1 , pp. 63-64
- Elkan, C.¹

7
- 84885774862
- A framework for constructing features and models for intrusion detection systems
- W. Lee and S.J. Stolfo, "A framework for constructing features and models for intrusion detection systems", ACM Trans. on Inform, and System Security, 3(4), 2000, 227-261.
- (2000) ACM Trans. on Inform, and System Security , vol.3 , Issue.4 , pp. 227-261
- Lee, W.¹ Stolfo, S.J.²

8
- 0007729457
- J. Kittler and F. Roli (eds.), LNCS 2096, Springer
- J. Kittler and F. Roli (eds.), Multiple Classifier Systems, LNCS 2096, Springer, 2001.
- (2001) Multiple Classifier Systems

9
- 0026860706
- Methods for combining multiple classifiers and their applications to handwriting recognition
- Xu L., A. Krzyzak and C.Y. Suen (1992). Methods for combining multiple classifiers and their applications to handwriting recognition. IEEE Trans. Systems, Man and Cybernetics 22, 418-435.
- (1992) IEEE Trans. Systems, Man and Cybernetics , vol.22 , pp. 418-435
- Xu, L.¹ Krzyzak, A.² Suen, C.Y.³

10
- 33751563856
- http://www.ll.mit.edu/IST/ideval

11
- 33751584194
- http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.