DDoSLSTM: Detection of Distributed Denial of Service Attacks on IoT Devices using LSTM Model-Reference-Cited by-同舟云学术

DDoSLSTM: Detection of Distributed Denial of Service Attacks on IoT Devices using LSTM Model

Published:2022-03-10 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)
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Author:

Gaur Vimal¹^ORCID,Kumar Rajneesh²^ORCID

Affiliation:

1. MMEC, Maharishi Markandeshwar Deemed to be University, Mullana (Ambala)-Haryana and Reader,CSE Department Maharaja Surajmal Institute of Technology (GGSIPU),New Delhi,India

2. Maharishi Markandeshwar (Deemed to be University),MMEC,Department of CSE,Mullana, Ambala,133207

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9767722/9767723/09767889.pdf?arnumber=9767889

Reference15 articles.

1. IoT DoS and DDoS Attack Detection using ResNet

2. Developing Realistic Distributed Denial of Service (DDoS) Attack Dataset and Taxonomy

3. MCIDS-Multi Classifier Intrusion Detection system for IoT Cyber Attack using Deep Learning algorithm

4. Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review

5. A Survey on Machine Learning Based Detection on DDoS Attacks for IoT Systems

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