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Volumn , Issue , 2004, Pages 161-168

Frequent episode rules for internet anomaly detection

Author keywords

Anomaly detection; False alarms; Grid computing; Intrusion detection; Network security; Traffic datamining

Indexed keywords

FALSE ALARMS; GRID COMPUTING; INTRUSION DETECTION; NETWORK SECURITY; TRAFFIC DATAMINING;

EID: 18844388178     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (41)

References (8)
  • 2
    • 3543113439 scopus 로고    scopus 로고
    • A framework for classifying denial of service attacks
    • Karlsruhe, Germany, August
    • A. Hussain, J. Heidmann, C. Papadopoulos, "A Framework for Classifying Denial of Service Attacks", Proc. of the SIGCOMM, Karlsruhe, Germany, August 2003.
    • (2003) Proc. of the SIGCOMM
    • Hussain, A.1    Heidmann, J.2    Papadopoulos, C.3
  • 3
    • 38949133378 scopus 로고    scopus 로고
    • GridSec: Grid security enforcement with trust integration over minimal VPN tunnels
    • Tech. Report 2004-13, USC Internet and Grid Computing Lab, submitted to, July, 2
    • K. Hwang, S. Song, and J. Lv, "GridSec: Grid Security Enforcement with Trust Integration over Minimal VPN Tunnels", Tech. Report 2004-13, USC Internet and Grid Computing Lab, submitted to IEEE Computer Magazine, July, 2, 2004.
    • (2004) IEEE Computer Magazine
    • Hwang, K.1    Song, S.2    Lv, J.3
  • 4
    • 0034455983 scopus 로고    scopus 로고
    • Adaptive intrusion detection: A data mining approach
    • Kluwer Academic Publishers, Dec.
    • Lee, S. J. Stolfo, and K. Mok. "Adaptive Intrusion Detection: a Data Mining Approach", Artificial Intelligence Review, Kluwer Academic Publishers, 14(6):533-567, Dec. 2000.
    • (2000) Artificial Intelligence Review , vol.14 , Issue.6 , pp. 533-567
    • Lee, S.J.S.1    Mok, K.2
  • 7
    • 85019691440 scopus 로고    scopus 로고
    • Testing intrusion detection systems: A critique of the 1998 and 1999 DARPA off-line intrusion detection system evaluation as performed by Lincoln laboratory
    • Nov.
    • J. McHugh. "Testing Intrusion Detection Systems: A Critique of the 1998 and 1999 DARPA Off-line Intrusion Detection System Evaluation as Performed by Lincoln Laboratory". ACM Trans. on Information and System Security, 3(4). Nov. 2000.
    • (2000) ACM Trans. on Information and System Security , vol.3 , Issue.4
    • McHugh, J.1
  • 8
    • 0038282217 scopus 로고    scopus 로고
    • Modern intrusion detection, data mining, and degrees of attack guilt
    • Daniel Barbarà and Sushil Jajodia, eds. Kluwer Academic Publishers, Boston
    • S. Noel, D. Wijesekera, and C. Youman, "Modern Intrusion Detection, Data Mining, and Degrees of Attack Guilt" in Applications of Data Mining in Computer Security, Daniel Barbarà and Sushil Jajodia, eds. Kluwer Academic Publishers, Boston, 2002.
    • (2002) Applications of Data Mining in Computer Security
    • Noel, S.1    Wijesekera, D.2    Youman, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.