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A forensically sound method for evidence extraction from heavy truck ECMs.

机译:从重型卡车ECM中提取证据的一种法医学方法。

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摘要

Since the early 1990s, heavy trucks' Engine Control Modules (ECMs) have recorded information valuable to accident reconstructionists. This information is extracted using the engine manufacturers' maintenance software in a manner that does not protect the evidence from alteration. This dissertation describes a novel method of extracting and replaying information from heavy truck engine control modules. This method preserves the integrity of the original evidence, is faithful to the original evidence source, and is cryptographically protected. The extraction/replay methodology combines a generic method with extensions specific to the manufacturer's proprietary protocols. A cryptosystem is also described that protects the information from modification, whether accidental or malicious. Experimental results and validation testing showed that the replay method generated the same report data as the ECM it recorded. It was also found that multiple extractions changed the source evidence, indicating the forensic superiority of the replay method. The replay method fulfills the criteria of forensic soundness and addresses some problems with current evidence handling procedures.
机译:自1990年代初以来,重型卡车的发动机控制模块(ECM)记录了对事故重建者有价值的信息。使用发动机制造商的维护软件以不保护证据不被更改的方式提取此信息。本文描述了一种从重型卡车发动机控制模块中提取和重放信息的新颖方法。该方法保留了原始证据的完整性,忠于原始证据来源,并受到密码保护。提取/重放方法结合了通用方法和针对制造商专有协议的扩展。还描述了一种密码系统,该密码系统可以保护信息免受意外或恶意的修改。实验结果和验证测试表明,重播方法生成的报告数据与其记录的ECM相同。还发现多次提取改变了来源证据,表明了重放方法的法医学优势。重放方法满足法证健全性的标准,并解决了当前证据处理程序中的一些问题。

著录项

  • 作者

    Johnson, James.;

  • 作者单位

    The University of Tulsa.;

  • 授予单位 The University of Tulsa.;
  • 学科 Computer science.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 97 p.
  • 总页数 97
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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