Towards self-organizing maps based Computational Intelligent System for denial of Service Attacks Detection

Autor:	C. P. Suárez Araujo, P. Fernández López, P. García Báez, M.A. Perez-del-Pino
Rok vydání:	2010
Předmět:	Self-organizing map Artificial neural network Network security business.industry Computer science Robust random early detection Denial-of-service attack computer.software_genre Computer security Information system Unsupervised learning Web service business computer
Zdroj:	2010 IEEE 14th International Conference on Intelligent Engineering Systems.
DOI:	10.1109/ines.2010.5483858
Popis:	Denial of Service (DoS) attacks are some of the biggest problems for computer security. Detection and early alert of these attacks would be helpful information which could be used to make appropriate decisions in order to minimize their negative impact. This paper proposes a new approach based on SOM-type unsupervised artificial neural networks for detection of this type of attacks at an early stage. We present a SOM-based Computational Intelligent System for DoS Attacks Detection (CISDAD) and a new representation scheme for information. A study has been carried out on real traffic from a healthcare environment based on web technologies. Results show effectiveness in the detection of toxic traffic and congestion regarding abuse in communication networks.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f527953c0ca373452a210a149db42577 https://doi.org/10.1109/ines.2010.5483858 Zobrazit plný text záznamu