Proactive Model for Locating and Collecting Cybercrime Evidences on Cloud Computing

The high scalability of cloud computing provides more opportunities to business and IT organization to develop high end computing services with low cost. Businesses has been given many choices in selecting cloud service providers as this process requires careful thinking to weight the advantages...

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Main Authors:	Ahmed, Abdulghani Ali, Chua, Xue Li
Format:	Article
Language:	English
Published:	BioCore Group 2017
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/17718/ http://umpir.ump.edu.my/id/eprint/17718/ http://umpir.ump.edu.my/id/eprint/17718/1/fskkp-2017-ghani-proactive%20model%20for%20locating.pdf

id	ump-17718
recordtype	eprints
spelling	ump-177182018-05-16T04:14:22Z http://umpir.ump.edu.my/id/eprint/17718/ Proactive Model for Locating and Collecting Cybercrime Evidences on Cloud Computing Ahmed, Abdulghani Ali Chua, Xue Li QA75 Electronic computers. Computer science The high scalability of cloud computing provides more opportunities to business and IT organization to develop high end computing services with low cost. Businesses has been given many choices in selecting cloud service providers as this process requires careful thinking to weight the advantages against the possible drawbacks of losing control on resources, applications and data storage. Despite the advancement of cloud storage and the advantageous it brings to all computer users, cloud storage is still subjected to misuse of malicious users and criminals. This includes the use of cloud storage for storing and exchanging illegal material and for committing botnet attacks. In fact, increasing number of crimes against cloud storage makes the investigation process of extracting and collecting cybercrime evidences in cloud forensics more challenging. Although a number of researches and solutions are proposed to address cloud computing security, several studies and surveys reported that security in cloud computing still posing several challenges to the researchers. Loss of control over the data stored in cloud computing is one of the security challenge in that clouds. Location of data storage in the cloud and the multi tenancy of customers on cloud servers are all representing security concerns. At the same time, cloud technology nowadays is also creating challenges for forensic practitioners. This paper reviews the current challenges in cloud forensic and propose a proactive model to improve the process of locating and collecting cybercrime evidences in cloud computing. The objective of this paper is two pronged. Former is to study the existing digital evidence collection methodology, the location and the data fragments left on user’s computer prior to the usage of cloud storage application. Last is find the location and the data fragments left on user’s computer prior to the usage of cloud storage application for new cloud storage. BioCore Group 2017 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/17718/1/fskkp-2017-ghani-proactive%20model%20for%20locating.pdf Ahmed, Abdulghani Ali and Chua, Xue Li (2017) Proactive Model for Locating and Collecting Cybercrime Evidences on Cloud Computing. International Journal of Biotechnology and Bioengineering, 3 (2). p. 60. ISSN 2475-3432 https://biocoreopen.org/ijbb/previous-issue.php
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Ahmed, Abdulghani Ali Chua, Xue Li Proactive Model for Locating and Collecting Cybercrime Evidences on Cloud Computing
description	The high scalability of cloud computing provides more opportunities to business and IT organization to develop high end computing services with low cost. Businesses has been given many choices in selecting cloud service providers as this process requires careful thinking to weight the advantages against the possible drawbacks of losing control on resources, applications and data storage. Despite the advancement of cloud storage and the advantageous it brings to all computer users, cloud storage is still subjected to misuse of malicious users and criminals. This includes the use of cloud storage for storing and exchanging illegal material and for committing botnet attacks. In fact, increasing number of crimes against cloud storage makes the investigation process of extracting and collecting cybercrime evidences in cloud forensics more challenging. Although a number of researches and solutions are proposed to address cloud computing security, several studies and surveys reported that security in cloud computing still posing several challenges to the researchers. Loss of control over the data stored in cloud computing is one of the security challenge in that clouds. Location of data storage in the cloud and the multi tenancy of customers on cloud servers are all representing security concerns. At the same time, cloud technology nowadays is also creating challenges for forensic practitioners. This paper reviews the current challenges in cloud forensic and propose a proactive model to improve the process of locating and collecting cybercrime evidences in cloud computing. The objective of this paper is two pronged. Former is to study the existing digital evidence collection methodology, the location and the data fragments left on user’s computer prior to the usage of cloud storage application. Last is find the location and the data fragments left on user’s computer prior to the usage of cloud storage application for new cloud storage.
format	Article
author	Ahmed, Abdulghani Ali Chua, Xue Li
author_facet	Ahmed, Abdulghani Ali Chua, Xue Li
author_sort	Ahmed, Abdulghani Ali
title	Proactive Model for Locating and Collecting Cybercrime Evidences on Cloud Computing
title_short	Proactive Model for Locating and Collecting Cybercrime Evidences on Cloud Computing
title_full	Proactive Model for Locating and Collecting Cybercrime Evidences on Cloud Computing
title_fullStr	Proactive Model for Locating and Collecting Cybercrime Evidences on Cloud Computing
title_full_unstemmed	Proactive Model for Locating and Collecting Cybercrime Evidences on Cloud Computing
title_sort	proactive model for locating and collecting cybercrime evidences on cloud computing
publisher	BioCore Group
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/17718/ http://umpir.ump.edu.my/id/eprint/17718/ http://umpir.ump.edu.my/id/eprint/17718/1/fskkp-2017-ghani-proactive%20model%20for%20locating.pdf
first_indexed	2023-09-18T22:24:38Z
last_indexed	2023-09-18T22:24:38Z
_version_	1777415884361433088

Proactive Model for Locating and Collecting Cybercrime Evidences on Cloud Computing

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