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

BloCkEd: Blockchain-Based Secure Data Processing Framework in Edge Envisioned V2X Environment
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DOI:
10.1109/tvt.2020.2972278
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发表时间:
2020-06-01
影响因子:
6.8
通讯作者:
Choo, Kim-Kwang Raymond
Choo, Kim-Kwang Raymond
中科院分区:
计算机科学2区
文献类型:
--
作者:
Aujla, Gagangeet Singh;Singh, Amritpal;Choo, Kim-Kwang Raymond

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将计算活动移至更靠近网络边缘的趋势日益明显,特别是在智慧城市应用中(例如,车辆到一切 - V2X)。这种范例允许最终用户的请求由网络边缘的节点处理/处理;因此,减少延迟并保护用户数据/活动的隐私。然而,这样的边缘计算生态系统存在许多挑战。例子包括(1)边缘节点资源的潜在不当利用,(2)由于边缘节点之间的数据迁移而导致缓存管理和数据完整性方面的操作挑战,特别是在处理V2X应用中的车辆移动性时,以及(3)由于连续的链路中断和随后的链路重建而导致的高能耗。因此,在本文中,我们为边缘设想的V2X环境设计了一个基于区块链的安全数据处理框架(以下简称BloCkEd)。具体来说,提出了 BloCkEd 的多层边缘支持 V2X 系统模型,其中包括多目标优化问题的表述。此外,BloCkEd还包括基于容器的最佳数据处理方案和基于区块链的数据完整性管理方案,旨在最大限度地减少链路损坏并减少延迟。以印度昌迪加尔市为场景,我们实施并评估了所提出的方法的延迟、能耗和服务水平协议合规性。
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.