False Data Injection Attacks in Internet of Things

False Data Injection Attacks in Internet of Things
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DOI:
10.1007/978-3-319-93557-7_4
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发表时间:
2019-01-01
期刊:
PERFORMABILITY IN INTERNET OF THINGS
影响因子:
--
通讯作者:
Choudhury, Salimur
Choudhury, Salimur
中科院分区:
其他
文献类型:
--
作者:
Bostami, Biozid;Ahmed, Mohiuddin;Choudhury, Salimur

文献摘要

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物联网(IoT)促进不同类型的电子设备之间的联网。新兴的虚假数据注入攻击(FDIA)引起了电力系统和智能电网的关注和深入研究。网络犯罪分子破坏联网设备并注入数据。然而,这些对物联网的攻击可能会导致重大损失,并能够扰乱任何物联网网络中设备之间的正常活动。据我们所知,物联网中FDIA的实质性研究还不够。因此,在本章中,从物联网的角度分析了FDIA的影响,并调查了现有FDIA对策的有效性。本章的主要贡献是为FDIA检测和预防创造了物联网研究的新方向。本章将有利于研究生水平的学生,院士,在这个应用领域的研究人员。
Internet of Things (IoT) facilitates networking among different types of electronic devices. The emerging false data injection attacks (FDIAs) have drawn attention and heavily researched in power systems and smart grid. The cyber criminals compromise a networked device and inject data. However, these attacks on IoT may lead to significant losses and able to disrupt normal activities among the devices in any IoT network. To the best of our knowledge, there is not enough substantial investigation on FDIA in IoT. Therefore, in this chapter, the impact of FDIA is analyzed from IoT perspective and the usefulness of existing FDIA countermeasures is investigated. The key contribution of this chapter is to create a new direction of IoT research on FDIA detection and prevention. The chapter will be beneficial for graduate level students, academicians, and researchers in this application domain.