An Autonomous Log Storage Management Protocol with Blockchain Mechanism and Access Control for the Internet of Things

Area of Science:

• Computer Science
• Cybersecurity
• Network Engineering

Background:

• The proliferation of Internet of Things (IoT) devices generates vast amounts of log data daily.
• Existing log management solutions often neglect evidence legality and internal security, crucial for forensic investigations.
• Sensitive information and private data within IoT logs necessitate robust protection mechanisms.

Purpose of the Study:

• To propose an autonomous log storage management protocol specifically designed for the Internet of Things (IoT).
• To enhance the security, integrity, and legal admissibility of IoT-generated logs.
• To address the limitations of existing systems regarding evidence legality and internal security.

Main Methods:

• Implementation of an autonomous model where sensors encrypt logs before transmission.
• Integration of a blockchain mechanism with a novel "signature chain" concept for log management.
• Utilization of attribute-based encryption for fine-grained access control and data confidentiality.
• Security analysis using AVSIPA toolset, GNY logic, and semantic proof.

Main Results:

• The proposed protocol ensures robust identity verification, data integrity, non-repudiation, and data tamper resistance.
• Attribute-based encryption provides fine-grained access control and maintains data confidentiality.
• Security analysis confirms the protocol meets stringent security requirements.
• The system demonstrates good performance through efficient cryptographic methods and a single sign-on solution.

Conclusions:

• The developed protocol offers a secure and efficient solution for managing IoT logs, addressing critical security and legal concerns.
• The integration of blockchain and signature chains provides enhanced security properties essential for forensic investigations.
• The protocol's performance and security features make it highly suitable for resource-constrained IoT environments.