An optimized hybrid deep neural network architecture for intrusion detection in real‐time IoT networks-Reference-Cited by-同舟云学术

An optimized hybrid deep neural network architecture for intrusion detection in real‐time IoT networks

Author:

Shobana M.¹^ORCID,Shanmuganathan C.²^ORCID,Challa Nagendra Panini³^ORCID,Ramya S.⁴^ORCID

Affiliation:

1. SRM Institute of Science and Technology (KTR‐Campus) Chengalpattu India

2. SRM Institute of Science and Technology (Ramapuram Campus) Chennai India

3. School of Computer Science and Engineering (SCOPE), VIT‐AP University Amaravati India

4. School of Computing SASTRA Deemed University Thanjavur India

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

Reference50 articles.

Cited by 5 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. Anomaly-Based Intrusion Detection System Using Bidirectional Long Short-Term Memory for Internet of Things;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26

4. IoT-based Smart Home Security System with Machine Learning Models;Academic Platform Journal of Engineering and Smart Systems;2024-01-31