Distributed Blockchain-SDN Secure IoT System Based on ANN to Mitigate DDoS Attacks

By bringing smart and advanced solutions, the Internet of Things (IoT) has opened up new dimensions of innovative services and processing power for contemporary living standards. IoT has a wide range of devices and communication entities as a result of the widespread applications of these services,...

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Bibliographic Details
Published in:Applied sciences 2023-04, Vol.13 (8), p.4953
Main Authors: Jmal, Rihab, Ghabri, Walid, Guesmi, Ramzi, Alshammari, Badr M., Alshammari, Ahmed S., Alsaif, Haitham
Format: Article
Language:English
Subjects:
ANN
Assaults
Blockchain
DDoS
Deep learning
Denial of service attacks
Infrastructure
Internet of Things
Internet of Things (IoT)
Machine learning
Malware
Mitigation
Optimization techniques
Ransomware
Redesign
security
Software
Software-defined networking
software-defined networking (SDN)
Virtual private networks
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Summary:By bringing smart and advanced solutions, the Internet of Things (IoT) has opened up new dimensions of innovative services and processing power for contemporary living standards. IoT has a wide range of devices and communication entities as a result of the widespread applications of these services, making network management a challenging task. Therefore, it is critical to redesign the IoT network’s management. The inherent programmability and centralized capabilities of software-defined networking (SDN) make network management simpler, enable network abstraction, make network evolution easier, and have the potential to handle the IoT network. However, security issues still present the IoT dilemma. Distributed Denial of Service (DDoS) attacks are among the most significant security threats in IoT systems. This paper studies in-depth DDoS attacks in IoT and in SDN. A review of different detection and mitigation techniques based on SDN, blockchain and machine learning models is conducted. A holistic, secure IoT system is proposed on the basis of SDN with multicontrollers. Blockchain is considered to guarantee security in distributed SDN-IoT networks and ANN to improve the detection and mitigation process.
ISSN:2076-3417
2076-3417
DOI:10.3390/app13084953