Forensic Analysis on False Data Injection Attack on IoT Environment

Advanced metering infrastructures; Digital forensics; Electric power system security; Electric power transmission networks; Network security; Water supply; Water supply systems; Cyber attackers; Electric power grids; Evidence collection; False data injection attacks; Forensic analysis; Forensic inve...

Full description

Saved in:

Bibliographic Details
Main Authors:	Nizam S.A.S., Ibrahim Z.-A., Rahim F.A., Fadzil H.S., Mohd Abdullah H.I., Mustaffa M.Z.
Other Authors:	57350466100
Format:	Article
Published:	Science and Information Organization 2023
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Universiti Tenaga Nasional

id	my.uniten.dspace-26475
record_format	dspace
spelling	my.uniten.dspace-264752023-05-29T17:10:57Z Forensic Analysis on False Data Injection Attack on IoT Environment Nizam S.A.S. Ibrahim Z.-A. Rahim F.A. Fadzil H.S. Mohd Abdullah H.I. Mustaffa M.Z. 57350466100 57203863738 57350579500 57350813500 57220806281 57220805312 Advanced metering infrastructures; Digital forensics; Electric power system security; Electric power transmission networks; Network security; Water supply; Water supply systems; Cyber attackers; Electric power grids; Evidence collection; False data injection attacks; Forensic analysis; Forensic investigation; Internet of thing (IOT); Metering systems; Internet of things 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. � 2021 Final 2023-05-29T09:10:57Z 2023-05-29T09:10:57Z 2021 Article 10.14569/IJACSA.2021.0121029 2-s2.0-85119665887 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119665887&doi=10.14569%2fIJACSA.2021.0121029&partnerID=40&md5=8345a7ae4f7c7bf79f8186c329eb8bf4 https://irepository.uniten.edu.my/handle/123456789/26475 12 10 265 271 All Open Access, Gold Science and Information Organization Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
description	Advanced metering infrastructures; Digital forensics; Electric power system security; Electric power transmission networks; Network security; Water supply; Water supply systems; Cyber attackers; Electric power grids; Evidence collection; False data injection attacks; Forensic analysis; Forensic investigation; Internet of thing (IOT); Metering systems; Internet of things
author2	57350466100
author_facet	57350466100 Nizam S.A.S. Ibrahim Z.-A. Rahim F.A. Fadzil H.S. Mohd Abdullah H.I. Mustaffa M.Z.
format	Article
author	Nizam S.A.S. Ibrahim Z.-A. Rahim F.A. Fadzil H.S. Mohd Abdullah H.I. Mustaffa M.Z.
spellingShingle	Nizam S.A.S. Ibrahim Z.-A. Rahim F.A. Fadzil H.S. Mohd Abdullah H.I. Mustaffa M.Z. Forensic Analysis on False Data Injection Attack on IoT Environment
author_sort	Nizam S.A.S.
title	Forensic Analysis on False Data Injection Attack on IoT Environment
title_short	Forensic Analysis on False Data Injection Attack on IoT Environment
title_full	Forensic Analysis on False Data Injection Attack on IoT Environment
title_fullStr	Forensic Analysis on False Data Injection Attack on IoT Environment
title_full_unstemmed	Forensic Analysis on False Data Injection Attack on IoT Environment
title_sort	forensic analysis on false data injection attack on iot environment
publisher	Science and Information Organization
publishDate	2023
_version_	1806427589947949056

Forensic Analysis on False Data Injection Attack on IoT Environment

Similar Items