文章基本信息

标题：Digital Forensic Models: A Comparative Study based in large enterprises of Pakistan
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作者：Mushtaque Khuram ; Umer Ahmer ; KamranAhsan 等
期刊名称：Research Journal of Recent Sciences
电子版ISSN：2277-2502
出版年度：2014
卷号：3
期号：8
页码：103-110
语种：English
出版社：International Science Community Association
摘要：Introduction of Information Technology in the business has not only improved the performance and has opened new doors for the market; contemporarily it has transformed the dependency of large enterprises more towards the efficiency and reliability of this technology. Cyber crime is a type of crime associated with I.T which could not just affect the performance of these organizations but also may ruin their business, reputation and trust in the market. Apart from different security measures to protect these organizations from cyber attacks, Digital forensic is the science which was introduced to find out the culprits once any crime occurs successfully. Digital forensic examiners perform investigation process and collect the evidences which may be admissible in the court of law so that the offender gets penalized and the affected organization restores their financial loss and prevents it to happen again in future. Different modules were introduced since 2001 to 2011 around the globe which divide the digital forensic investigation process into different phases. Because of lack of awareness and slow adopting nature of Pakistan, this science is not being familiarized as much and no any particular module is followed by cyber forensic firms because organizations of Pakistan dont tend to opt for such services with some reservations. In this paper we have identified vulnerable sections in 80 large enterprises of Pakistan in the context of their security measures taken to enable successful digital forensic investigation process. These 80 organizations contained different types of industries, banks, and hospitalsetc where the I.T is used at quite some extent and as reliable tool for their core business.
关键词：Digital forensic;forensic models;cyber crime;organizational security;forensic investigation