Layer-based examination of cyber-attacks in IoT

Author:

OZALP Ahmet Nusret1,ALBAYRAK Zafer2,CAKMAK Muhammet3,OZDOGAN Erdal4

Affiliation:

1. Computer Engineering Department, Karabuk University, Karabuk, Turkey

2. Department of Computer Engineering, Sakarya University of Applied Sciences, Sakarya, Turkey

3. Karabuk University,Electric-Electronics Engineering Department,Karabuk,Turkey

4. General Directorate of Basic, Education Ministry of National Education,Ankara,Turkey

Publisher

IEEE

Reference45 articles.

1. Two-Factor Authentication and Key Agreement Schemes for Smart Home Fingerprint Characteristics;z l z z q d s l j;Mobile Information Systems,2022

2. Lightweight and High-Performance Data Protection for Edge Network Security;x l b;Wireless Communications and Mobile Computing,2022

3. Trust-Based Secure Multi-Cloud Collaboration Framework in Cloud-Fog-Assisted IoT;j l;IEEE Transactions on Cloud Computing,2022

4. Case Studies on 5G and IoT Security Issues from the Leading 5G and IoT System Integration Vendors;s c;Secure Communication for 5G and IoT Networks,2022

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1. Network Forensics Analysis of Cyber Attacks Carried Out Over Wireless Networks Using Machine Learning Methods;Sakarya University Journal of Computer and Information Sciences;2024-08-31

2. Using machine learning algorithms to enhance IoT system security;Scientific Reports;2024-05-27

3. Autoencoders Based Optimized Deep Learning Model for the Detection of Cyber Attack in IoT Environment;2024 IEEE International Conference on Consumer Electronics (ICCE);2024-01-06

4. SSFID: A Survey and Analysis of Security Framework for IoT Devices;2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG);2023-12-08

5. Q-ICAN: A Q-learning based cache pollution attack mitigation approach for named data networking;Computer Networks;2023-11

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