A combined data mining approach for DDoS attack detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3090, Issue , 2004, Pages 943-950

  Kim, Mihui ^a   Na, Hyunjung ^a   Chae, Kijoon ^a   Bang, Hyochan ^b   Na, Jungchan ^b  

^a Ewha Womans University   (South Korea)

^b Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

DAMAGE DETECTION; DENIAL-OF-SERVICE ATTACK; FEATURE EXTRACTION; NETWORK SECURITY;

AUTOMATIC FEATURE SELECTION; DEFENSE CAPABILITY; FUNDAMENTAL FEATURES; OPERATION METHODS; RAPID DETECTION; RESPONSE MECHANISMS; SECURITY MECHANISM; TRAFFIC PATTERN;

DATA MINING;

EID: 33745922681     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-25978-7_95     Document Type: Article

References (4)

1. Mihui Kim, et al.: A Combined Data Mining Approach for DDoS Attack Detection. Proc. of ICOIN (2004) 1365-1374
2. Wenke Lee, Salvatore J. Stolfo: Data Mining Approaches for Intrusion Detection. Proc. of the 7th USENIX Security Symposium (1998) 79-94
3. Hyunjung Na, et al.: Distributed Denial of Service Attack Detection using Netflow Traffic. Proc. of the Korea Information Processing Society (2003)
4. LI Aijun, LIU Yunhui and LUO Siwei: Mapping a Decision Tree for Classification into a Neural Network. Proc. of the 6th International Conference on Computational Intelligence & Natural Computing (2003)