A Hypergraph and Arithmetic Residue-based Probabilistic Neural Network for classification in Intrusion Detection Systems-Reference-Cited by-同舟云学术

A Hypergraph and Arithmetic Residue-based Probabilistic Neural Network for classification in Intrusion Detection Systems

Published:2017-08 Issue: Volume:92 Page:89-97
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Raman M.R. Gauthama,Somu Nivethitha,Kirthivasan Kannan,Sriram V.S. Shankar^ORCID

Funder

Tata Consultancy Services

Department of Science and Technology, India

Fund for Improvement of S&T Infrastructure in Universities and Higher Educational Institutions

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference40 articles.

1. A probabilistic neural network for earthquake magnitude prediction;Adeli;Neural Networks,2009

2. Amini, M., & Jalili, R. (2004). Network-based intrusion detection using unsupervised adaptive resonance theory (ART). In Proceedings of the 4th conference on engineering of intelligent systems, EIS 2004.

3. Mutual information-based feature selection for intrusion detection systems;Amiri;Journal of Network and Computer Applications,2011

4. Critical study of neural networks in detecting intrusions;Beghdad;Computers & Security,2008

5. Graphs and hypergraphs, Vol. 7;Berge,1973

Cited by 75 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Office building energy consumption forecast: Adaptive long short term memory networks driven by improved beluga whale optimization algorithm;Journal of Building Engineering;2024-08

2. An intrusion detection system based on convolution neural network;PeerJ Computer Science;2024-06-28

3. Streamlining detection of input validation attack types through hybrid analysis and machine learning;Sādhanā;2024-04-10

4. An ensemble framework with improved hybrid breeding optimization-based feature selection for intrusion detection;Future Generation Computer Systems;2024-02

5. Blockchain and federated learning-based intrusion detection approaches for edge-enabled industrial IoT networks: a survey;Ad Hoc Networks;2024-01