메뉴 건너뛰기




Volumn 4, Issue , 2007, Pages 307-311

A data mining approach to generating network attack graph for intrusion prediction

Author keywords

[No Author keywords available]

Indexed keywords

ATTACK GRAPHS; INTRUSION ALERTS; PREDICTABILITY SCORES;

EID: 44049099987     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2007.15     Document Type: Conference Paper
Times cited : (47)

References (13)
  • 1
    • 0027621699 scopus 로고    scopus 로고
    • S. A. Agrawal R., Imielinski T. Mining association rules between sets of items in large databases. In Proceedings of the ACM SIGMOD Conference on Management of Data, pages 207-216, 1993.
    • S. A. Agrawal R., Imielinski T. Mining association rules between sets of items in large databases. In Proceedings of the ACM SIGMOD Conference on Management of Data, pages 207-216, 1993.
  • 2
    • 0036079912 scopus 로고    scopus 로고
    • Alert correlation in a cooperative intrusion detection framework
    • Berkeley, CA, USA, IEEE Comput. Soc
    • F. Cuppens and A. Miege. Alert correlation in a cooperative intrusion detection framework. Proceedings 2002 IEEE Symposium on Security and Privacy, page 202, Berkeley, CA, USA, 2002. IEEE Comput. Soc.
    • (2002) Proceedings 2002 IEEE Symposium on Security and Privacy , pp. 202
    • Cuppens, F.1    Miege, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.