A Hybrid Deep Learning Model-Based Intrusion Detection System for Emergency Planning Using IoT-Network-Reference-Cited by-同舟云学术

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A Hybrid Deep Learning Model-Based Intrusion Detection System for Emergency Planning Using IoT-Network

Published:2023-09-13 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)
language:
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Author:

Khan Inam Ullah¹,Ayub Muhammad Yaseen²,Abdollahi Asrin³,Dutta Arijit⁴

Affiliation:

1. School of Engineering and Applied Sciences (SEAS), Isra University,Department of Electronic Engineering,Pakistan

2. COMSATS University,Department of Computer Science,Islamabad,Pakistan

3. University of Kurdistan,Department of Electrical Engineering,Iran

4. University of Calabria,Culture Telelab, Modelling, Electronics and Systems Engineering (DIMES),Department of Information,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10286909/10286910/10286954.pdf?arnumber=10286954

Reference30 articles.

1. An intrusion detection system based on CNN-LSTM hybrid network on CICIDS2017 dataset;nasheeda;International Journal of Recent Scientific Research,2022

2. A detailed analysis of the cicids20 1 7 data set;iman;Information Systems Security and Privacy 4th International Conference ICISSP 2018,2018

3. Intrusion detection systems for IoT-based smart environments: a survey;elrawy;Journal of cloud computing,2018

4. Energy-aware dynamic Internet of Things security system based on Elliptic Curve Cryptography and Messa&eQueue Telemetry Transport protocol for mitigating Replay attacks;de rango;Pervasive and Mobile Computing,0

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