| Title | An Intrusion Detection System using Opposition based Particle Swarm Optimization Algorithm and PNN |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Kala, T. Sree, Christy, A. |
| Conference Name | 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon) |
| Keywords | ANN, artificial neural network, Artificial neural networks, Biological neural networks, composability, compositionality, Computational modeling, Feed Forward Network, feedforward neural net algorithms, feedforward neural nets, Feeds, IDS model, Intrusion detection, intrusion detection models, intrusion detection system, learning (artificial intelligence), Network security, Neurons, NSL KDD dataset, NSL-KDD dataset, OPSO, particle swarm optimisation, particle swarm optimization, particle swarm optimization algorithm, Probabilistic Neural Network, probability, pubcrawl, security of data, swarm intelligence |
| Abstract | Network security became a viral topic nowadays, Anomaly-based Intrusion Detection Systems [1] (IDSs) plays an indispensable role in identifying the attacks from networks and the detection rate and accuracy are said to be high. The proposed work explore this topic and solve this issue by the IDS model developed using Artificial Neural Network (ANN). This model uses Feed - Forward Neural Net algorithms and Probabilistic Neural Network and oppositional based on Particle Swarm optimization Algorithm for lessen the computational overhead and boost the performance level. The whole computing overhead produced in its execution and training are get minimized by the various optimization techniques used in these developed ANN-based IDS system. The experimental study on the developed system tested using the standard NSL-KDD dataset performs well, while compare with other intrusion detection models, built using NN, RB and OPSO algorithms. |
| DOI | 10.1109/COMITCon.2019.8862237 |
| Citation Key | kala_intrusion_2019 |
An Intrusion Detection System using Opposition based Particle Swarm Optimization Algorithm and PNN