| Abstrakt: |
The Internet of Things (IoT) is growing rapidly and impacting almost every aspect of our lives, fromwearables and healthcare to security, traffic management, and fleet management systems. This has generated massive volumes of data and security, and data privacy risks are increasing with the advancement of technology and network connections. Traditional access control solutions are inadequate for establishing access control in IoT systems to provide data protection owing to their vulnerability to single-point OF failure. Additionally, conventional privacy preservation methods have high latency costs and overhead for resource-constrained devices. Previous machine learning approaches were also unable to detect denial-of-service (DoS) attacks. This study introduced a novel decentralized and secure framework for blockchain integration. To avoid single-point OF failure, an accredited access control scheme is incorporated, combining blockchain with local peers to record each transaction and verify the signature to access. Blockchain-based attribute-based cryptography is implemented to protect data storage privacy by generating threshold parameters, managing keys, and revoking users on the blockchain. An innovative contract-based DOS attack mitigation method is also incorporated to effectively validate devices with intelligent contracts as trusted or untrusted, preventing the server from becoming overwhelmed. The proposed framework effectively controls access, safeguards data privacy, and reduces the risk of cyberattacks. The results depict that the suggested framework outperforms the results in terms of accuracy, precision, sensitivity, recall, and F-measure at 96.9%, 98.43%, 98.8%, 98.43%, and 98.4%, respectively. [ABSTRACT FROM AUTHOR] |
