An intrusion detection system using optimized deep neural network architecture-Reference-Cited by-同舟云学术

An intrusion detection system using optimized deep neural network architecture

Published:2021-02-07 Issue:4 Volume:32 Page:
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Ramaiah Mangayarkarasi¹^ORCID,Chandrasekaran Vanmathi¹^ORCID,Ravi Vinayakumar²^ORCID,Kumar Neeraj³⁴⁵^ORCID

Affiliation:

1. School of Information Technology and Engineering Vellore Institute of Technology Vellore India

2. Center for Artificial Intelligence Prince Mohammad Bin Fahd University Khobar Saudi Arabia

3. Department of Computer Science and Engineering Thapar University Patiala India

4. Department of Computer Science and Information Engineering Asia University Taichung City Taiwan

5. School of Computing University of Petroleum and Energy Studies Dehradun India

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.4221

Reference39 articles.

1. HindyH BrossetD BayneE SeeamA TachtatzisC AtkinsonR BellekensX.A taxonomy and survey of intrusion detection system design techniques network threats and datasets; 2018. arXiv preprint arXiv:1806.03517.

2. A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection

3. Network intrusion detection with a hashing based apriori algorithm using Hadoop MapReduce;Azeez NA;Comput Secur,2019

4. LAM-CIoT: Lightweight authentication mechanism in cloud-based IoT environment

5. A survey on intrusion detection and prevention in wireless ad-hoc networks

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