Cybersecurity, digital forensics, and the IoT for deepfake investigation on social media platforms: A review

Abdullah, Ayub Khan and Jamil Alsayaydeh, Jamil Abedalrahim and Laghari, Asif Ali and Bacarra, Rex and Alroobaea, Roobaea and Algarni, Sultan and M. Baqasah, Abdullah (2025) Cybersecurity, digital forensics, and the IoT for deepfake investigation on social media platforms: A review. Human-centric Computing and Information Sciences, 15. pp. 1-21. ISSN 2192-1962

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Abstract

Numerous privacy and security concerns could jeopardize the social media ecosystem: mishandled hotspot connectivity used as a standalone cybercrime; illegal campaigning; deviant activities conducted online; propagation of anti-national propaganda; and recruitment of terrorists through social media platforms. These provide significant challenges for social media firms and open up new avenues for digital forensics investigations to support analysis and provide answers in the ever-evolving realm of cyber security. However, in terms of logging, inspecting, assessing, storing, presenting, and recording deepfake content, the growth of the Internet of Things has an impact on the cyber forensics’ investigation lifecycle. The integration of IoT with the most recent cyber security frameworks for deepfake analysis in social media platforms is reviewed in detail in this study. We also examine deepfake sounds, movies, and images by reviewing the media forensics literature. We combine the manipulation and alteration that takes place during social media posting for the data modality with an assessment of the technology developments in identifying and measuring manipulation, forgeries, and alterations. In conclusion, this study poses several significant research problems that should be considered, including upholding a safe chain of custody, implementing impersonation countermeasures, and fending against deceptive social engineering tactics

Item Type:	Article
Uncontrolled Keywords:	Internet of Things (IoT), Cyber security, Artificial Intelligence (AI), Blockchain, Digital Forensics, Social media, Deepfake
Divisions:	Faculty Of Electronics And Computer Technology And Engineering
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	08 Oct 2025 00:56
Last Modified:	08 Oct 2025 00:56
URI:	http://eprints.utem.edu.my/id/eprint/28990
Statistic Details:	View Download Statistic

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