Intrusion Detection in Industrial IoT-Reference-Cited by-同舟云学术

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Intrusion Detection in Industrial IoT

Published:2022-11-11 Issue: Volume: Page:
ISSN:
Container-title:2022 15th International Conference on Security of Information and Networks (SIN)
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Author:

Cheikhrouhou Omar¹,Fredj Ouissem Ben²,Atitallah Nesrine³,Hellal Salem⁴

Affiliation:

1. University of Sfax, Tunisia ISIMA, University of Monastir,CES-ENIS laboratory,Tunisia

2. University of Kairouan,ISSAT Kairouan,Tunisia

3. Arab Open University (AOU),Faculty of Computer Studies (FCS),Saudi Arabia

4. Higher Institute of Computer Science of Mahdia Student,Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9970488/9970489/09970535.pdf?arnumber=9970535

Reference20 articles.

1. Machine Learning and Deep Learning Techniques for Cyber-security: A Review;salloum;AICV,2020

2. Deep Learning Based Fusion Approach for Hate Speech Detection

3. Passban IDS: An Intelligent Anomaly-Based Intrusion Detection System for IoT Edge Devices

4. Industrial Internet of Things and its Applications in Industry 4.0: State of The Art

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SmartSentry: Cyber Threat Intelligence in Industrial IoT;IEEE Access;2024

2. A critical literature review of security and privacy in smart home healthcare schemes adopting IoT & blockchain: Problems, Challenges and Solutions;Blockchain: Research and Applications;2023-12

3. CERP: Cooperative and Efficient Routing Protocol for Wireless Sensor Networks;Sensors;2023-10-30

4. Malware Detection Using Deep Learning and CNN Models;2023 International Conference on Cyberworlds (CW);2023-10-03

5. IoT DOS and DDOS Attacks Detection Using an Effective Convolutional Neural Network;2023 International Conference on Cyberworlds (CW);2023-10-03

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