Proposed intelligence systems based on digital Forensics : Review paper

Ismael Sahib, Hussein and Alsudani, Mustafa Qahtan and Ali, Mohammed Hasan and Qassim Abbas, Haydar and Moorthy, Kohbalan and Adnan, Myasar Mundher (2023) Proposed intelligence systems based on digital Forensics : Review paper. Materials Today: Proceedings, 80. pp. 2647-2651. ISSN 2214-7853. (Published)

	Pdf Proposed intelligence systems based on digital Forensics.pdf Restricted to Repository staff only Download (426kB) | Request a copy
Preview	Pdf Proposed intelligence systems based on digital Forensics_Review paper_ABS.pdf Download (215kB) | Preview

Abstract

The field of information security, in general, has seen shifts a traditional approach to an intelligence system. Moreover, an increasing of researchers to focus on propose intelligence systems and framework based on the forensic case studies because of the limitations of traditional methods such as analysis intensive data manually, intelligence visualization to make the evidence more understandable and intelligence system for store data. However, most of these intelligence systems are still facing different limitations. Furthermore, the primary goal of this work analysis popular intelligence system that was used based on forensic. Moreover, propose new algorithms and hybrid model which it's achieved good results in dif-ferent other fields to develop the forensic systems in the future.

Item Type:	Article
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	ANN; Artificial intelligence; Forensic; Intelligence systems; Machine learning; SVM
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division:	Institute of Postgraduate Studies Faculty of Computing
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	30 Apr 2024 06:21
Last Modified:	30 Apr 2024 06:21
URI:	http://umpir.ump.edu.my/id/eprint/40453
Download Statistic:	View Download Statistics

Actions (login required)

View Item