BloCkEd: Blockchain-Based Secure Data Processing Framework in Edge Envisioned V2X Environment

• Published in: IEEE transactions on vehicular technology Vol. 69; no. 6; pp. 5850 - 5863
• Main Authors: Aujla, Gagangeet Singh, Singh, Amritpal, Singh, Maninderpal, Sharma, Sumit, Kumar, Neeraj, Choo, Kim-Kwang Raymond
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.06.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Blockchain; Cache management; Cloud computing; Containers; Cryptography; Data integrity; Data processing; Edge computing; Energy consumption; Integrity; Memory management; Multilayers; Multiple objective analysis; Nodes; Optimization; Resource management; Smart City; Task analysis; Vehicle-to-everything
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2020.2972278

There has been an increasing trend of moving computing activities closer to the edge of the network, particularly in smart city applications (e.g., vehicle-to-everything - V2X). Such a paradigm allows the end user's requests to be handled/processed by nodes at the edge of the network; thus, reducing latency, and preserving privacy of user data/activities. However, there are a number of challenges in such an edge computing ecosystem. Examples include (1) potential inappropriate utilization of resources at the edge nodes, (2) operational challenges in cache management and data integrity due to data migration between edge nodes, particularly when dealing with vehicular mobility in a V2X application, and (3) high energy consumption due to continuous link breakage and subsequent reestablishment of link(s). Therefore in this paper, we design a blockchain-based secure data processing framework for an edge envisioned V2X environment (hereafter referred to as BloCkEd ). Specifically, a multi-layered edge-enabled V2X system model for BloCkEd is presented, which includes the formulation of a multi-objective optimization problem. In addition, BloCkEd comprises an optimal container-based data processing scheme, and a blockchain-based data integrity management scheme, designed to minimize link breakage and reducing latency. Using Chandigarh City, India, as the scenario, we implement and evaluate the proposed approach in terms of its latency, energy consumption, and service level agreement compliance.