• Adithya Sharma B S
• Anjan K Koundinya
• Ashwini.N

A Network Intrusion Detection System is a protection system which monitors computer network activity and alerts the network administrator if any malicious activity. Intruders make many efforts to obtain entry to the network and damage the data of the organization. As a result, the most critical feature of any sort of organization is security. Intrusion detection has become a major research topic as a result of these factors. The two forms of IDS are signature-based and anomaly- based. The decision tree method in our proposed work is based on the signature based IDS. The importance of feature selection and split value in the construction of a decision tree cannot be overstated. The algorithm in this research is intended to make the model faster in detection and accurate. The information gained is used to choose the most relevant features and the split value is selected to ensure that the classifier is unaffected by the most common values. On the basis of a variety of attributes, experiments are conducted on the NSL-KDD dataset. The time taken by the categorizer to build the model and the precision it achieves are examined. The suggested Decision Tree Split method can be employed for signature-based intrusion detection, according to the findings.

Network Security, decision tree method

"A Novel Network Intrusion Detection System Using Decision Tree Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.d645-d650, September-2022, Available :http://www.jetir.org/papers/JETIR2209376.pdf

"A Novel Network Intrusion Detection System Using Decision Tree Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppd645-d650, September-2022, Available at : http://www.jetir.org/papers/JETIR2209376.pdf