A Security Management and Control Solution of Smart Park Based on Sensor Networks.

Area of Science:

• Computer Science
• Network Security
• Cybersecurity

Background:

• Smart parks face significant information security challenges, including access control issues, data flow disorder, and inadequate audit trails.
• Existing sensor network security mechanisms struggle with multi-authorization and traceability for moving personnel and equipment.

Purpose of the Study:

• To propose a joint authorization and dynamic access control mechanism for smart parks.
• To address multi-authorization complexities in user identity and authority management.
• To enhance the security and traceability of personnel and equipment movement data.

Main Methods:

• Developed a joint authorization and dynamic access control mechanism offering unified identity, access control, and policy management.
• Designed a license negotiation interaction protocol to mitigate network attack threats during authentication.
• Implemented a Merkle tree-based movement trajectory traceability protocol for tamper-proof data storage.

Main Results:

• The proposed mechanism effectively handles multi-party authorization and supports traceability for smart park environments.
• The system addresses issues like internal malicious attacks and reliance on trusted third parties.
• Experimental results indicate comparable overheads in initialization, encryption, decryption, and key generation compared to existing mechanisms.

Conclusions:

• The joint authorization and dynamic access control mechanism provides a robust solution for smart park security.
• The system enhances data integrity and security for moving personnel and equipment.
• This approach offers a scalable and efficient method for securing sensor networks in smart environments.