Staff View: ASMF: Ambient social media forensics chain of custody with an intelligent digital investigation process using federated learning

ASMF: Ambient social media forensics chain of custody with an intelligent digital investigation process using federated learning

Ambient Intelligence is a concept that relates to a new paradigm of pervasive computing and has the objective of automating responses from the system to humans without any human intervention. In social media forensics, gathering, analyzing, storing, and validating relevant evidence for investigation...

Full description

Saved in:

Bibliographic Details
Main Authors:	Khan, Abdullah Ayub, Zhang, Xuzhuo, Hajjej, Fahima, Yang, Jing, Ku, Chin Soon, Por, Lip Yee
Format:	Article
Published:	Elsevier 2024
Subjects:	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.um.edu.my/44251/ https://doi.org/10.1016/j.heliyon.2023.e23254
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.um.eprints.44251
record_format	eprints
spelling	my.um.eprints.442512024-06-27T06:09:47Z http://eprints.um.edu.my/44251/ ASMF: Ambient social media forensics chain of custody with an intelligent digital investigation process using federated learning Khan, Abdullah Ayub Zhang, Xuzhuo Hajjej, Fahima Yang, Jing Ku, Chin Soon Por, Lip Yee QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering Ambient Intelligence is a concept that relates to a new paradigm of pervasive computing and has the objective of automating responses from the system to humans without any human intervention. In social media forensics, gathering, analyzing, storing, and validating relevant evidence for investigation in a heterogeneous environment is still questionable. There is no hierarchy for automation, even though standardization and secure processes from data collection to validation have not yet been discussed. This poses serious issues for the current investigation procedures and future evidence chain of custody management. This paper contributes threefold. First, it proposes a framework using a blockchain network with a dual chain of data transmission for privacy protection, such as on-chain and off-chain. Second, a protocol is designed to detect and separate local and global cyber threats and undermine multiple federated principles to personalize search space broadly. Third, this study manages personalized updates by means of optimizing backtracking parameters and automating replacements, which directly affects the reduction of negative influence on the social networking environment in terms of imbalanced and distributed data issues. This proposed framework enhances stability in digital investigation. In addition, the simulation uses an extensive social media dataset in different cyberspaces with a variety of cyber threats to investigate. The proposed work outperformed as compared to traditional single-level personalized search and other state-of-the-art schemes. Elsevier 2024-01-15 Article PeerReviewed Khan, Abdullah Ayub and Zhang, Xuzhuo and Hajjej, Fahima and Yang, Jing and Ku, Chin Soon and Por, Lip Yee (2024) ASMF: Ambient social media forensics chain of custody with an intelligent digital investigation process using federated learning. Heliyon, 10 (1). ISSN 2405-8440, DOI https://doi.org/10.1016/j.heliyon.2023.e23254 <https://doi.org/10.1016/j.heliyon.2023.e23254>. https://doi.org/10.1016/j.heliyon.2023.e23254 10.1016/j.heliyon.2023.e23254
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering Khan, Abdullah Ayub Zhang, Xuzhuo Hajjej, Fahima Yang, Jing Ku, Chin Soon Por, Lip Yee ASMF: Ambient social media forensics chain of custody with an intelligent digital investigation process using federated learning
description	Ambient Intelligence is a concept that relates to a new paradigm of pervasive computing and has the objective of automating responses from the system to humans without any human intervention. In social media forensics, gathering, analyzing, storing, and validating relevant evidence for investigation in a heterogeneous environment is still questionable. There is no hierarchy for automation, even though standardization and secure processes from data collection to validation have not yet been discussed. This poses serious issues for the current investigation procedures and future evidence chain of custody management. This paper contributes threefold. First, it proposes a framework using a blockchain network with a dual chain of data transmission for privacy protection, such as on-chain and off-chain. Second, a protocol is designed to detect and separate local and global cyber threats and undermine multiple federated principles to personalize search space broadly. Third, this study manages personalized updates by means of optimizing backtracking parameters and automating replacements, which directly affects the reduction of negative influence on the social networking environment in terms of imbalanced and distributed data issues. This proposed framework enhances stability in digital investigation. In addition, the simulation uses an extensive social media dataset in different cyberspaces with a variety of cyber threats to investigate. The proposed work outperformed as compared to traditional single-level personalized search and other state-of-the-art schemes.
format	Article
author	Khan, Abdullah Ayub Zhang, Xuzhuo Hajjej, Fahima Yang, Jing Ku, Chin Soon Por, Lip Yee
author_facet	Khan, Abdullah Ayub Zhang, Xuzhuo Hajjej, Fahima Yang, Jing Ku, Chin Soon Por, Lip Yee
author_sort	Khan, Abdullah Ayub
title	ASMF: Ambient social media forensics chain of custody with an intelligent digital investigation process using federated learning
title_short	ASMF: Ambient social media forensics chain of custody with an intelligent digital investigation process using federated learning
title_full	ASMF: Ambient social media forensics chain of custody with an intelligent digital investigation process using federated learning
title_fullStr	ASMF: Ambient social media forensics chain of custody with an intelligent digital investigation process using federated learning
title_full_unstemmed	ASMF: Ambient social media forensics chain of custody with an intelligent digital investigation process using federated learning
title_sort	asmf: ambient social media forensics chain of custody with an intelligent digital investigation process using federated learning
publisher	Elsevier
publishDate	2024
url	http://eprints.um.edu.my/44251/ https://doi.org/10.1016/j.heliyon.2023.e23254
_version_	1805881145803407360
score	13.223943

ASMF: Ambient social media forensics chain of custody with an intelligent digital investigation process using federated learning

Similar Items