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

• Main Authors: WU, Tong, MA, Xiaochen, ZHANG, Chuan, LIU, Ximeng, YANG, Guomin, ZHU, Liehuang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Access control; bilateral access control; edge computing; Encryption; linear integer secret sharing; Privacy; Resource management; Servers; task allocation; Task analysis; Transportation; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/8634
• Institution: Singapore Management University

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.