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DOI: 10.14569/IJACSA.2021.0121029
PDF

Forensic Analysis on False Data Injection Attack on IoT Environment

Author 1: Saiful Amin Sharul Nizam
Author 2: Zul-Azri Ibrahim
Author 3: Fiza Abdul Rahim
Author 4: Hafizuddin Shahril Fadzil
Author 5: Haris Iskandar Mohd Abdullah
Author 6: Muhammad Zulhusni Mustaffa

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 10, 2021.

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Abstract: False Data Injection Attack (FDIA) is an attack that could compromise Advanced Metering Infrastructure (AMI) devices where an attacker may mislead real power consumption by falsifying meter usage from end-users smart meters. Due to the rapid development of the Internet, cyber attackers are keen on exploiting domains such as finance, metering system, defense, healthcare, governance, etc. Securing IoT networks such as the electric power grid or water supply systems has emerged as a national and global priority because of many vulnerabilities found in this area and the impact of the attack through the internet of things (IoT) components. In this modern era, it is a compulsion for better awareness and improved methods to counter such attacks in these domains. This paper aims to study the impact of FDIA in AMI by performing data analysis from network traffic logs to identify digital forensic traces. An AMI testbed was designed and developed to produce the FDIA logs. Experimental results show that forensic traces can be found from the evidence logs collected through forensic analysis are sufficient to confirm the attack. Moreover, this study has produced a table of attributes for evidence collection when performing forensic investigation on FDIA in the AMI environment.

Keywords: Advanced Metering Infrastructure (AMI); False Data Injection Attack (FDIA); man in the middle (MITM); internet of things (IoT); forensic analysis

Saiful Amin Sharul Nizam, Zul-Azri Ibrahim, Fiza Abdul Rahim, Hafizuddin Shahril Fadzil, Haris Iskandar Mohd Abdullah and Muhammad Zulhusni Mustaffa, “Forensic Analysis on False Data Injection Attack on IoT Environment” International Journal of Advanced Computer Science and Applications(IJACSA), 12(10), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0121029

@article{Nizam2021,
title = {Forensic Analysis on False Data Injection Attack on IoT Environment},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0121029},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0121029},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {10},
author = {Saiful Amin Sharul Nizam and Zul-Azri Ibrahim and Fiza Abdul Rahim and Hafizuddin Shahril Fadzil and Haris Iskandar Mohd Abdullah and Muhammad Zulhusni Mustaffa}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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