Towards fine-grained task allocation with bilateral access control for intelligent transportation systems

Publication Type

Journal Article

Publication Date

12-2023

Abstract

In this paper, we propose a secure fine-grained task allocation scheme with bilateral access control (FTA-BAC) for intelligent transportation systems. To enhance the security, we formulate bilateral access control in task allocation, by adopting the matchmaking encryption (ME) to encrypt the task requirements/interests for secure task matching. In this way, both task requesters and workers can specify their match policies simultaneously, without revealing their sensitive information (i.e. attributes, geographical location). To realize fine-grained task allocation, we use linear integer secret sharing scheme (LISS) to represent task requirements/interests, supporting the AND/OR operation on match policies. To further improve the efficiency, we design a delegation mechanism to reduce the computation burden on resource-limited end devices, by diverting the high-frequency matching operations to edge nodes. Then, we prove the security of FTA-BAC under formally defined security model. Finally, we analyze the performance of FTA-BAC through theoretical analysis and experimental evaluation, demonstrating that FTA-BAC can provide practical task allocation for intelligent transportation systems compared with the-state-of-art works.

Keywords

Access control, bilateral access control, edge computing, Encryption, linear integer secret sharing, Privacy, Resource management, Servers, task allocation, Task analysis, Transportation

Discipline

Information Security | Transportation

Research Areas

Cybersecurity

Publication

IEEE Internet of Things Journal

ISSN

2327-4662

Identifier

10.1109/JIOT.2023.3344577

Publisher

Institute of Electrical and Electronics Engineers

Additional URL

https://doi.org/10.1109/JIOT.2023.3344577

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