Intelligent intrusion detection system using clustered self organized map

• Published in: 2018 Fifth International Conference on Software Defined Systems (SDS) pp. 138 - 144
• Main Authors: Almi'ani, Muder, Ghazleh, Alia Abu, Al-Rahayfeh, Amer, Razaque, Abdul
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.04.2018
• Subjects: attack; clustering; Intrusion detection; k-means; neural network; Neurons; self-organized map; Self-organizing feature maps; Software; Training

The impact of information security breaching becomes bigger and complicated to ignore every day. New and more sophisticated attacks are emerging and developed; requiring the information systems and networks be protected in a highly flexible and accurate manner. Intrusion Detection Systems (IDS) are...