TCP Flood Attack Detection on Internet of Things devices using CNN-GRU Deep Learning Model-Reference-Cited by-同舟云学术

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TCP Flood Attack Detection on Internet of Things devices using CNN-GRU Deep Learning Model

Published:2023-10-03 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Digital Futures and Transformative Technologies (ICoDT2)
language:
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Author:

Ishaq Muhammad¹,Khan Ibrahim²,Ullah Syed Irfan³,Ullah Tahseen³

Affiliation:

1. Helping Hand Helping Hand, Institute of Rehabilitation Sciences,Department of Information Technology,Islamabad,Pakistan

2. National University of Sciences and Technology,School of Mechanical and Manufacturing Engineering,Islamabad,Pakistan

3. Abasyn University,Department of Computing and Technology,Peshawar,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10325562/10325690/10325694.pdf?arnumber=10325694

Reference13 articles.

1. ML and DL Classifications of Route Conditions Using Accelerometers and Gyroscope Sensors

2. A method to detect Internet of Things botnets

3. Botnet Attack Detection by Using CNN-LSTM Model for Internet of Things Applications

4. N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders

5. IoT data analytics using deep learning;xie,2017

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