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Securing Real-Time Data Streams with Cloud-Enabled Lightweight Cryptography

  • Anaam Ghanim Hilal,
  • Mehdi Ebady Manaa

摘要

The Internet-of-Things (IoT) is expanding swiftly, generating vast amounts of data that require secure storage. Although cloud computing is a useful tool for storing Internet-of-Things data, moving massive amounts of data from IoT devices to the cloud can be risky due to excessive latency and security vulnerabilities. In order to tackle these issues, we suggested encrypting data using hybrid lightweight ciphers (PRINCE and SPECK), which are ideal for IoT devices with minimal resources, and the data’s authenticity and integrity are further supported by the use of the SHA-256 digital signature technique. To securely exchange keys between IoT devices and the cloud, we used the Elliptic Curve Diffie-Hellman (ECDH) protocol. This protocol allows for the secure exchange of keys over an unsecured channel. A suggested system can be evaluated using a number of key metrics, such as execution time and entropy, to comprehend its security and performance features. The system boosted the entropy value to 7.996686285 and the execution time to 0.955000162 s in the latest read with a data size of 36.7 KB, making this approach more secure and efficient.