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End-to-End Encrypted Message Distribution System for the Internet of Things Based on Conditional Proxy Re-Encryption.

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This study enhances Internet of Things (IoT) security with conditional proxy re-encryption, improving data privacy and preventing broker collusion. The new method offers comparable encryption overhead and reduced decryption costs for secure publish-subscribe systems.

Keywords:
HiveMQconditional proxy re-encryptionend-to-end encryptioninternet of thingsmessage broker

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Network Security

Background:

  • Internet of Things (IoT) publish-subscribe systems face security vulnerabilities.
  • Existing proxy re-encryption frameworks struggle with trusted authorities and user revocation.
  • Data privacy is threatened by potential collusion between brokers and subscribers.

Purpose of the Study:

  • To introduce an improved end-to-end encryption approach for IoT publish-subscribe systems.
  • To strengthen data privacy and prevent unauthorized re-encryption by brokers.
  • To overcome limitations of previous proxy re-encryption methods.

Main Methods:

  • Developed a novel conditional proxy re-encryption protocol.
  • Implemented the protocol on HiveMQ, an open-source MQTT platform.
  • Evaluated the system's security, encryption overhead, and decryption cost.

Main Results:

  • The proposed encryption protocol effectively prevents unauthorized broker re-encryption.
  • Encryption overhead is comparable to state-of-the-art end-to-end encryption.
  • Decryption cost is approximately half that of existing methods.
  • Overall security is significantly improved.

Conclusions:

  • The improved end-to-end encryption approach enhances security for IoT publish-subscribe systems.
  • The method strengthens data privacy without compromising core publish-subscribe functionalities.
  • This solution offers a more secure and efficient alternative for IoT communication.