• S.BHUVANESHWARI
• B.AISHWARYA
• Dr.Veeralakshmi.P

Machine learning techniques are being widely used to develop an intrusion detection system (IDS) for detecting and volumes requiring a scalable solution. Networks play important roles in modern life, and cyber security has become a vital research area. An intrusion detection system (IDS) which is an important cyber security technique, monitors the state of software and hardware running in the network. The detection system is mainly based on feature selection and classifiers. Traditional algorithm doesn’t work well with large dataset so to enhance the performance accuracy a combined method of Support Vector Machine and Naïve bayes algorithm are processed to analyse the Intrusion detection dataset. Finally, the accuracy, precision, recall, and predictions are calculated using the confusion matrix.

Support Vector Machine, Naïve bayes, Intrusion detection, attacks,cyber security.

"AN EFFICIENT INTRUSION DETECTION SYSTEM USING SVM AND NAIVE BAYES ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 3, page no.1790-1796, March-2020, Available :http://www.jetir.org/papers/JETIR2003256.pdf

"AN EFFICIENT INTRUSION DETECTION SYSTEM USING SVM AND NAIVE BAYES ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp1790-1796, March-2020, Available at : http://www.jetir.org/papers/JETIR2003256.pdf