Supervised Machine Learning to Enhance Security in Mobile Ad Hoc Networks-Reference-Cited by-同舟云学术

Supervised Machine Learning to Enhance Security in Mobile Ad Hoc Networks

Published:2021-12-07 Issue: Volume: Page:
ISSN:
Container-title:2021 14th International Conference on Developments in eSystems Engineering (DeSE)
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Author:

Khalifa Marwa Mohammed¹,Ucan Osman Nuri²,Alheeti Khattab M. Ali³

Affiliation:

1. Institute of Graduate Studies, University of Altinbaş,Department of Computer Engineering / Information Technologies,Turkey

2. School of Science and Engineering, University of Altinbaş,Department of Electrical and Computer Engineering,Turkey

3. College of Computer Science and Information Technology, University Of Anbar,Department of Computer Networking Systems,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9718563/9719327/09719511.pdf?arnumber=9719511

Reference28 articles.

1. A model for secure mobile ad hoc network

2. Survey on Attacks in MANET;archana;Int J Adv Res Comput Commun Eng,2015

3. A privacy-preserving health data aggregation scheme;liu;KSII Trans Internet Inf Syst,2016

4. Security in wireless ad-hoc networks – A survey

5. A new approach for DDoS attacks to discriminate the attack level and provide security for DDoS nodes in MANET;swain;Int J Commun Networks Inf Secur,2017

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1. Comprehensive Study of Side-Channel Analysis (CyberSecurity);2023 16th International Conference on Developments in eSystems Engineering (DeSE);2023-12-18

2. The Defending Mobile Ad Hoc Networks from Anonymity Threats with an Identity-less, OnDemand Routing Scheme;2023 2nd International Conference on Futuristic Technologies (INCOFT);2023-11-24

3. Mobile Adhoc Networks - An Overview of Risk Identification, Intrusion Detection and Machine Learning Techniques used;2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2022-12-02