Title :
A Distributed Self-Organizing Map for DoS attack detection
Author :
Minhoe Kim ; Souhwan Jung ; Minho Park
Author_Institution :
Sch. of Electron. Eng., Soongsil Univ., Seoul, South Korea
Abstract :
Self-Organizing Map (SOM), one of data mining techniques, has been used as a tool to detect DoS attacks. However, existing SOM-based approaches have the potential drawbacks, the limited detection throughput and vulnerability to DoS attack. Therefore, this paper proposes a new form of SOM, Distributed SOM (DSOM), and shows the feasibility of DSOM through comprehensive experiments.
Keywords :
computer network security; data mining; self-organising feature maps; DSOM; DoS attack detection; data mining techniques; denial-of-service attack; distributed self-organizing map; Accuracy; Computer crime; Data mining; Feature extraction; Floods; IP networks; Logic gates; Denial of Service attack; DoS detection; Self-Organizing Map;
Conference_Titel :
Ubiquitous and Future Networks (ICUFN), 2015 Seventh International Conference on
Conference_Location :
Sapporo
DOI :
10.1109/ICUFN.2015.7182487
