Designing of Intrusion Detection System Using an Ensemble of Artificial Neural Network and Honey Badger Optimization Algorithm

The massive growth in computing and networking technologies resulted in humongous amount of data. Subsequently, cyber security is crucial in protecting those data from intrusion and attacks. Undoubtedly, various hardware and software solutions were proposed by many researchers and intrusion detection system is one such solution. Moreover, application of artificial intelligence method for developing intrusion detection system has gained significant impact. This paper proposes a network intrusion detection system using ensemble of artificial neural network and honey badger optimization. The proposed algorithm is simulated using CIC-IDS2017 dataset with 80:20 ratio where 80% of the dataset is used for training and 20% of the dataset is used for testing purpose. The evaluation of the proposed model is done with mean squared error and accuracy. The results showed that the proposed model outperforms benchmark models in terms of high accuracy and low error.