.png){kind=icon}
返回
Anomaly based network intrusion detection for IoT attacks using deep learning technique
.png){kind=icon}
OA
AI
DOI：10.1016/j.compeleceng.2023.108626.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Internet of Things (IoT) applications are growing in popularity for being widely used in many real-world services. In an IoT ecosystem, many devices are connected with each other via internet, making IoT networks more vulnerable to various types of cyber attacks, thus a major concern in its deployment is network security and user privacy. To protect IoT networks against various attacks, an efficient and practical Intrusion Detection System (IDS) could be an effective solution. In this paper, a novel anomaly-based IDS system for IoT networks is proposed using Deep Learning technique. Particularly, a filter-based feature selection Deep Neural Network (DNN) model where highly correlated features are dropped has been presented. Further, the model is tuned with various parameters and hyper parameters. The UNSW-NB15 dataset comprising of four attack classes is utilized for this purpose. The proposed model achieved an accuracy of 84%. Generative Adversarial Networks (GANs) were used to generate synthetic data of minority attacks to resolve class imbalance issues in the dataset and achieved 91% accuracy with balanced class dataset.
Keyword:
Intrusion detection system
Machine learning
Deep learning
GAN
DoS
Internet of Things
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
C
IF:
4.9
论文数:
6.7K
被引数:
1.3W
机构
引用论文
A deep learning method with wrapper based feature extraction for wireless intrusion detection system一种基于包装器的无线入侵检测特征提取深度学习方法.png)
COMPUTERS & SECURITY
COMPUTERS & SECURITYIF5.4
PREAI
分享收藏Improving Energy Efficiency With Content-Based Adaptive and Dynamic Scheduling in Wireless Sensor NetworksIEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏Towards Deep-Learning-Driven Intrusion Detection for the Internet of Things面向物联网的深度学习入侵检测SENSORSOAAI
SENSORSIF3.5
OAAI分享收藏A Novel Hybrid Trustworthy Decentralized Authentication and Data Preservation Model for Digital Healthcare IoT Based CPS基于CPS的数字医疗物联网的新型混合可信分散认证和数据保存模型SENSORSOAAI
SENSORSIF3.5
OAAI分享收藏A Deep Learning Method With Filter Based Feature Engineering for Wireless Intrusion Detection System基于过滤特征工程的无线入侵检测系统深度学习方法IEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏An Intrusion Detection Model Based on Feature Reduction and Convolutional Neural NetworksIEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏
查看更多内容