• M.Prabu
• N.Prabhakaran

The internet is accessed by a large number of people worldwide within their respective domains. When clients and servers exchange messages, their activity can be observed in log files. These files provide a detailed description of network activity, including IP addresses, login and logout durations, and user behaviour. Various types of internet attacks occur. This paper focuses on Denial of Service (DoS) attacks, which can be identified through pattern recognition techniques in data mining. DoS attacks are particularly dangerous because they overload an organization's IT resources with imitation messages or multiple requests from unauthorized users, putting those resources at risk.

Attacks, DoS, Data mining.

"DETECTION OF DOS ATTACKS USING ANOMALY BASED IDS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.87-89, June-2019, Available :http://www.jetir.org/papers/JETIR1907W13.pdf

"DETECTION OF DOS ATTACKS USING ANOMALY BASED IDS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp87-89, June-2019, Available at : http://www.jetir.org/papers/JETIR1907W13.pdf