Open AccessAn on‐site digital investigation methodology for data leak case
Author(s) -
Lee Seokhee,
Lee Keungi,
Park Jong Hyuk,
Lee Sangjin
Publication year - 2014
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0122
pISSN - 1939-0114
DOI - 10.1002/sec.405
Subject(s) - computer science , digital forensics , limit (mathematics) , data collection , leak , digital data , data mining , data science , database , computer security , computer hardware , mathematical analysis , statistics , mathematics , data transmission , environmental engineering , engineering
The ever growing storage device capacity poses a severe limit to the standard digital forensics collection procedures based on duplicating the original storage device by creating a bit‐by‐bit copy. Such a traditional procedure is followed, even if the goal of the investigation is to find a limited quantity of digital objects to support or refute an investigative hypothesis related to a precise case category. Therefore, in this paper, we propose a new methodology to deal with data leak cases, by applying an intelligent collection paradigm, a fast analysis approach that reduces investigation time. Copyright © 2012 John Wiley & Sons, Ltd.