Smart grid forensic science: applications, challenges, and open issues

Smart grid forensic science: applications, challenges, and open issues
复制标题

智能电网法证科学:应用、挑战和悬而未决的问题

DOI:
--
复制
发表时间:
2013
影响因子:
11.2
通讯作者:
Hussein T. Mouftah
Hussein T. Mouftah
中科院分区:
计算机科学1区
文献类型:
--
作者:
M. Erol;Hussein T. Mouftah

文献摘要

被引文献

相似文献

智能电网取证学是与智能电网网络安全和物理安全紧密结合的新兴研究领域。在网络攻击或自然灾害发生后对电力系统进行事后分析,通常可以最准确地了解系统的现实脆弱性,并有助于保护电网在未来免受类似攻击,以及避免灾难期间的故障。除了提高智能电网的安全水平外,智能电网取证还有助于为刑事司法服务收集证据。例如,从智能电表和数据收集器提取的数据可以为电力盗窃事件的法律的诉讼提供证据。此外,使用电网频率的认证和时间戳音频记录已被用于最近的几项学术研究,以及由伦敦的大都会警察法庭音频实验室。简而言之,智能电网取证科学正在成为电力系统的一个强大的安全组成部分。另一方面,大量数据的存储和处理带来了重大挑战以及隐私问题。在这篇文章中,我们介绍了智能电网法医学的新兴应用领域,讨论了挑战,并概述了该主题的开放问题。本文旨在为未来的智能电网取证研究提供路线图。
Smart grid forensic science is a newly flourishing research area that is tightly coupled with cyber and physical security of the smart grid. Post-mortem analysis of a power system after a cyber attack or natural disaster generally provides the most accurate comprehension of the real-world vulnerabilities of the system and helps to protect the grid against similar attacks in the future as well as avoid failures during disasters. Besides increasing the security level of the smart grid, smart grid forensics aids evidence collection for the service of criminal justice. For instance, data extracted from smart meters and data collectors can provide evidence to legal proceedings in electricity theft matters. Furthermore, authentication and timestamping audio recordings using power grid frequency have been employed in several recent academic studies, as well as by the Metropolitan Police Forensic Audio Laboratory in London. Briefly, smart grid forensic science is emerging as a powerful security component of the power system. On the other hand, storage and processing of the enormous amount of data introduce significant challenges together with the privacy issue. In this article, we introduce the emerging application areas of smart grid forensic science, discuss the challenges, and outline the open issues in the topic. This article aims to serve as a roadmap for future smart grid forensic studies.