Improve Intrusion Detection Using Grasshopper Optimization Algorithm and Decision Trees
Seiyedeh Maryam Hosseiny, Akram Esvand Rahmani, Morad Derakhshan · International Journal of Safety and Security Engineering · 2020
Nowadays computer networks are play a major role in the communication and transmission of information, however increasing security threats in computer networks is one challenging concern that has received lot of attention in the computer science field.Intrusion detection systems help increase security by detecting or preventing attacks on computer networks and play an effective role in providing security.Therefore, design and implement an effective Intrusion Detection Systems (IDS) is important.In this paper we propose a new method of intrusion detection system based on grasshopper optimization algorithm (GOA) for eliminating undesirable features is presented.In this way, after decreasing the feature by grasshopper algorithm and finding the optimal features, the attacks are classified as normal and abnormal using the decision tree.Experiments have been performed on the NSL-KDD dataset.The results show that the proposed method has higher accuracy and precision than other methods of PSO, Genetics and ACO and has increased accuracy and speed in attack detection.