Artificial Intelligence (AI) and Blockchain Technologies in Software-Defined IoT
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 541
Special Issue Editors
Interests: software-defined networking; quality of service; WSN; IoT; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: graph-based algorithms; topological analysis; pattern recognition and machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: energy efficient IoT networks; EMF exposure reduction; low SAR antennas for mobile handsets; machine learning for wireless communication; backscatter communication; wireless sensor networks
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; deep learning; mixed reality; augmented reality; health informatics
Special Issue Information
Dear Colleagues,
Internet of Things (IoT) systems are often vulnerable to security threats due to the large number of interconnected devices and the diverse data they generate. By integrating blockchain technology with software-defined networking (SDN), we can establish a decentralized and tamper-resistant ledger to ensure the integrity and authenticity of IoT data. Blockchain's transparent and immutable nature can provide robust security measures, protecting against data tampering and unauthorized access and ensuring privacy in IoT deployments. Moreover, blockchain-based solutions can be employed to establish unique device identities and enable secure authentication mechanisms. This ensures that only authorized devices can access the IoT network, mitigating the risks associated with unauthorized access and potential attacks. SDN, in combination with blockchain, can enforce access control policies, manage device identities, and facilitate secure communication among IoT devices.
AI algorithms can be integrated with SDN controllers to enable autonomous network management in IoT environments. AI-powered systems can analyze vast amounts of IoT data, detect patterns, and make intelligent decisions to optimize network performance, predict failures, and proactively address network congestion or security breaches. This combination empowers IoT networks with self-learning and self-adapting capabilities, leading to improved efficiency and reliability. The integration of SDN, IoT, blockchain, and AI allows for advanced data analytics and actionable insights. AI algorithms can process IoT data collected from various devices, extract meaningful patterns, and generate valuable insights for businesses. Blockchain provides a secure and transparent platform for sharing and monetizing IoT data, fostering data-driven innovation and new business models.
In summary, SDN acts as a foundational technology in IoT deployments, enabling efficient network management and resource allocation. Integrating blockchain and AI technologies with SDN enhances security, privacy, device authentication, and autonomous network management capabilities in the IoT ecosystem. This convergence holds significant potential to unlock the full value of IoT data and enable innovative applications across various industries. Potential topics of this Special Issue include, but are not limited to, the following:
- Blockchain-empowered SDN architectures and frameworks.
- Controller placement with AI and learning technologies.
- Security of the controller employing blockchain.
- DDoS attack detection and prevention mechanisms employing blockchain and AI.
- Intrusion detection and prevention leveraging AI.
- Optimal forwarding strategies employing AI.
- Optimal and Effective routing strategies employing AI.
- Fault tolerance utilizing AI.
- Controller selection and performance evaluation.
- Applications using edge and fog computing for QoS utilizing AI.
- Intelligent transportation using SDN and AI.
- Wide area networks QoS improvement employing AI and SDN.
Dr. Jehad Ali
Prof. Dr. Hsiao-Chun Wu
Dr. Muhammad Ali Jamshed
Dr. Abeer Alsadoon
Dr. Gaoyang Shan
Guest Editors
Manuscript Submission Information
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