Block4Forensic: An Integrated Lightweight Blockchain Framework for Forensics Applications of Connected Vehicles

Block4Forensic: An Integrated Lightweight Blockchain Framework for Forensics Applications of Connected Vehicles
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DOI:
10.1109/mcom.2018.1800137
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发表时间:
2018-10-01
影响因子:
11.2
通讯作者:
Uluagac, Selcuk
Uluagac, Selcuk
中科院分区:
计算机科学1区
文献类型:
--
作者:
Cebe, Muinin;Erdin, Enes;Uluagac, Selcuk

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这些系统不仅可以与其他车辆通信,还可以从车辆内的数百个传感器收集各种信息。这些发展有助于创造智能和互联(例如,自动驾驶)车辆,这些车辆将向驾驶员、制造商、保险公司和维护服务提供商引入重要信息以用于各种应用。随着自动驾驶汽车的引入,其中一个变得至关重要的应用是交通事故的法医分析。利用车辆相关数据可以在事故后的场景中发现故障方,特别是对于自动驾驶车辆。为了能够访问汽车中的各种信息,我们在所涉及的各种元素中提出了一个许可的区块链框架,以管理收集的车辆相关数据。具体来说,我们首先将车辆公钥基础设施(VPKI)集成到拟议的区块链中,以提供成员资格建立和隐私。接下来,我们设计了一个碎片化的分类账,它将存储与车辆相关的详细数据,如维修信息/历史记录、汽车诊断报告等。所提出的取证框架能够以最小的存储和处理开销实现无信任、可追溯和隐私感知的事故后分析。
systems that not only communicate with other vehicles but also gather various information from hundreds of sensors within them. These developments help create smart and connected (e.g., self-driving) vehicles that will introduce significant information to drivers, manufacturers, insurance companies, and maintenance service providers for various applications. One such application that is becoming crucial with the introduction of self-driving cars is forensic analysis of traffic accidents. The utilization of vehicle-related data can be instrumental in post-accident scenarios to discover the faulty party, particularly for self-driving vehicles. With the opportunity of being able to access various information in cars, we propose a permissioned blockchain framework among the various elements involved to manage the collected vehicle-related data. Specifically, we first integrate vehicular public key infrastructure (VPKI) to the proposed blockchain to provide membership establishment and privacy. Next, we design a fragmented ledger that will store detailed data related to vehicles such as maintenance information/history, car diagnosis reports, and so on. The proposed forensic framework enables trustless, traceable, and privacy-aware post-accident analysis with minimal storage and processing overhead.