scholarly journals P2DF - A Privacy-Preserving Digital Forensics Framework

2021 ◽  
Vol 13 (6) ◽  
pp. 0-0

The extensive use of digital devices by individuals generates a significant amount of private data which creates challenges for investigation agencies to protect suspects' privacy. Existing digital forensics models illustrate the steps and actions to be followed during an investigation, but most of them are inadequate to investigate a crime with all the processes in an integrated manner and do not protect suspect's privacy. In this paper, we propose the development of a privacy-preserving digital forensics (P2DF) framework, which facilitates investigation through maintaining confidentiality of the suspects through various privacy standards and policies. It includes an access control mechanism which allows only authorized investigators to access private data and identified digital evidences. It is also equipped with a digital evidence preservation mechanism which could be helpful for the court of law to ensure the authenticity, confidentiality, and reliability of the evidences, and to verify whether privacy of the suspect was preserved during the investigation process.

2014 ◽  
Vol 26 (4) ◽  
pp. 795-807 ◽  
Author(s):  
Zahid Pervaiz ◽  
Walid G. Aref ◽  
Arif Ghafoor ◽  
Nagabhushana Prabhu

2021 ◽  
pp. 249-258
Author(s):  
Talib M. Jawad Abbas ◽  
Ahmed Salem Abdulmajeed

Digital forensic is part of forensic science that implicitly covers crime related to computer and other digital devices. It‟s being for a while that academic studies are interested in digital forensics. The researchers aim to find out a discipline based on scientific structures that defines a model reflecting their observations. This paper suggests a model to improve the whole investigation process and obtaining an accurate and complete evidence and adopts securing the digital evidence by cryptography algorithms presenting a reliable evidence in a court of law. This paper presents the main and basic concepts of the frameworks and models used in digital forensics investigation.


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