Intrusion Detection Systems Based on Artificial Intelligence Techniques in Wireless Sensor Networks-Reference-Cited by-同舟云学术

Intrusion Detection Systems Based on Artificial Intelligence Techniques in Wireless Sensor Networks

Published:2013-10-01 Issue:10 Volume:9 Page:351047
ISSN:1550-1477
Container-title:International Journal of Distributed Sensor Networks
language:en
Short-container-title:International Journal of Distributed Sensor Networks

Author:

Alrajeh Nabil Ali¹,Lloret J.²

Affiliation:

1. Biomedical Technology Department, College of Applied Medical Sciences, King Saud University, Riyadh 11633, Saudi Arabia

2. Department of Communications, Universidad Politecnica de Valencia, Camino de Vera, 46022 Valencia, Spain

Abstract

Intrusion detection system (IDS) is regarded as the second line of defense against network anomalies and threats. IDS plays an important role in network security. There are many techniques which are used to design IDSs for specific scenario and applications. Artificial intelligence techniques are widely used for threats detection. This paper presents a critical study on genetic algorithm, artificial immune, and artificial neural network (ANN) based IDSs techniques used in wireless sensor network (WSN).

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1155/2013/351047

Reference22 articles.

1. Real Deployments of Wireless Sensor Networks

2. Impact of Security Attacks on a New Security Protocol for Mobile Ad Hoc Networks

3. Intrusion Detection Systems in Wireless Sensor Networks: A Review

4. Anomaly Base Network Intrusion Detection by Using Random Decision Tree and Random Projection: A Fast Network Intrusion Detection Technique

Cited by 38 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. Taxonomy of deep learning-based intrusion detection system approaches in fog computing: a systematic review;Knowledge and Information Systems;2024-07-05

2. Performance Evaluation of Machine Learning Models for Intrusion Detection in Wireless Sensor Networks: A Case Study Using the WSN DS Dataset;Lecture Notes in Networks and Systems;2024

3. Cybersecurity in Politics;Artificial Intelligence, Game Theory and Mechanism Design in Politics;2023

4. A novel methodology for enhancing intrusion detection system;i-manager’s Journal on Software Engineering;2023

5. A Machine Learning Approach to Analyze Cloud Computing Attacks;2022 5th International Conference on Contemporary Computing and Informatics (IC3I);2022-12-14