New Strategy for detecting Intrusion by using c4.5 algorithm
Radhakrishna Naik, Vivek Kshirsagar, Baliram Sonawane · Computational intelligence · 2012
Nowadays, as information systems are more open to the Internet, the importance of secure networks is tremendously increased. New intelligent Intrusion Detection Systems (IDSs) which are based on sophisticated algorithms rather than current signature-base detections are in demand. In this paper, we propose a new data-mining based technique for intrusion detection using an ensemble of binary classifiers with feature selection and multiboosting simultaneously. Our model employs feature selection so that the binary classifier for each type