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Erschienen in:
2016 | OriginalPaper | Buchkapitel
Identifying HTTP DDoS Attacks Using Self Organizing Map and Fuzzy Logic in Internet Based Environments
verfasst von : T Raja Sree, S Mary Saira Bhanu
Erschienen in: Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics
Verlag: Springer India
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Abstract
The increasing usage of internet resources may lead to more cyber crimes in the network domain. Among the various kinds of attacks, HTTP flooding is one of the major threats to uninterrupted and efficient internet services that depletes the application layer. It is hard to find out the traces of this attack because the attacker deletes all possible traces in the network. Thus, the only possible way to find the attack is from the trace log file located in the server. This paper proposes a method using Self Organizing Map (SOM) and fuzzy association rule mining to identify the attack. SOM is used to isolate the unknown patterns and to identify the suspicious source. The attacks are identified using fuzzy association rule mining. The statistical test has been carried out to measure the significance of features to identify the legitimate or intrusive behavior.