scholarly journals Analisis Perbandingan Toolkit Puran File Recovery, Glary Undelete Dan Recuva Data Recovery Untuk Digital Forensik

2017 ◽  
Vol 1 (1) ◽  
pp. 84 ◽  
Author(s):  
Handrizal Handrizal

This paper presents a comparative analysis of three digital forensics toolkit for data recovery scenario that has been deleted. Toolkit used is Puran File Recovery, Glary Undelete and Recuva Data Recovery. Their ability to restore deleted data has been tested and analyzed in a USB flash drive. The results of the comparison show that this third toolkit can work well in terms of finding the data that has been deleted or in recovering the deleted data.

2010 ◽  
Vol 17C (5) ◽  
pp. 391-398 ◽  
Author(s):  
Jin-Kook Kim ◽  
Jung-Heum Park ◽  
Sang-Jin Lee

Author(s):  
David A. Dampier ◽  
A. Chris Bogen

This chapter introduces the field of digital forensics. It is intended as an overview to permit the reader to understand the concepts and to be able to procure the appropriate assistance should the need for digital forensics expertise arise. Digital forensics is the application of scientific techniques of discovery and exploitation to the problem of finding, verifying, preserving, and exploiting digital evidence for use in a court of law. It involves the use of hardware and software for finding evidence of criminal activity on digital media, either in a computer or in a network device, and attributing that evidence to a suspect for the purposes of conviction. Digital forensics can also be used for non-law enforcement purposes. Data recovery is a form of computer forensics used outside of the legal arena. The authors hope that the reader will understand some of the intricacies of digital forensics and be able to intelligently respond to incidents requiring a digital forensic response.


2014 ◽  
Vol 496-500 ◽  
pp. 2274-2278
Author(s):  
Zhen Zhou Zhao ◽  
Zhong Yong Fu

Because the Excel file is often edited, the data blocks stored in the hard disk which make up the Excel file is often not continuous. Discontinuous storage fragmented files, deleted or formatted, with the current data recovery software to restore the effect is very poor, often file recovery, but can not open or is garbled. Therefore it makes sense to study an effective recovery method to recover Excel fragmented files. Based on "Laura" file format, first introduced the Windows platform fragmented files, and then given an Excel file fragmentation recognition method, final based on debris identify given Excel file fragmentation restructuring.


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