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A classification of attacks to In-Vehicle Components (IVCs)

机译：对车载组件的攻击分类（IVC）

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摘要

The rapid adoption of technology for the purpose of connecting all things to a global network can be witnessed in those ranging from simple applications, such as toasters, to more complex ones, such as vehicles. In particular, the connected vehicles which have emerged from this adoption utilize various sensors and external connections to either better allow its user to make a more informed decision, or make that decision autonomously. As a majority of the population relies on some sort of vehicular transportation, this means connected vehicles have access to an unprecedented amount of data, some of which is private, and some of which is critical in allowing the vehicle to perform as expected. Although we agree that this data-driven approach can allow for better decisions to be made, the fact remains that the connection between the In-Vehicle Networks (IVNs) and the Internet increases the number of ways the IVNs can now be targeted. In this paper, we focus on the security of common In-Vehicle Components (IVCs); that is, IVNs and the interfaces that interact in some way with such networks. Possible attacks to IVNs and their interfaces are identified and classified in a novel way, along with potential causes for each attack. The novel attack classification scheme can influence the development of new types of countermeasures to attacks, or the adoption of new and existing countermeasures to attacks that fall under the same classification. (C) 2020 Elsevier Inc. All rights reserved.
机译：为了将所有东西连接到全球网络的目的的快速采用可以在那些从简单的应用程序（如烤面包）中的那些范围内，以更复杂的应用程序，如车辆。特别是，从这种采用中出现的连接的车辆利用各种传感器和外部连接来更好地允许其用户进行更新的决定，或者自主地做出这种决定。由于大多数人口依赖于某种车辆运输，这意味着连接的车辆可以访问前所未有的数据，其中一些是私有的，其中一些是允许车辆按预期执行的关键。虽然我们同意这种数据驱动方法可以允许更好的决定，但事实仍然是车载网络（IVNS）和因特网之间的连接增加了IVN现在可以定位的方式的数量。在本文中，我们专注于普通车载组件（IVC）的安全;也就是说，IVNS和以某种方式与这种网络以某种方式交互的接口。对IVNS的可能攻击及其界面以新颖的方式识别和分类，以及每个攻击的潜在原因。新型攻击分类方案可以影响对攻击的新类型的对策的发展，或采用新的和现有的对策，以遭受同样分类的攻击。 （c）2020 Elsevier Inc.保留所有权利。

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  • 来源
    《Vehicular Communications》 |2020年第10期|100253.1-100253.16|共16页
  • 作者

    Sun Joey; Iqbal Shahrear; Arabi Najmeh Seifollahpour; Zulkernine Mohammad;

  • 作者单位

    Queens Univ Sch Comp Queens Reliable Software Technol QRST Lab Kingston ON K7L 2N8 Canada;

    Queens Univ Sch Comp Queens Reliable Software Technol QRST Lab Kingston ON K7L 2N8 Canada;

    Queens Univ Sch Comp Queens Reliable Software Technol QRST Lab Kingston ON K7L 2N8 Canada;

    Queens Univ Sch Comp Queens Reliable Software Technol QRST Lab Kingston ON K7L 2N8 Canada;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    In-vehicle; Security; Classification; Attack;

    机译：车载;安全;分类;攻击;

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