scholarly journals Indexing Information for Data Forensics

2005 ◽  
pp. 206-221 ◽  
Author(s):  
Michael T. Goodrich ◽  
Mikhail J. Atallah ◽  
Roberto Tamassia
Keyword(s):  
Data Forensics

Forensic cloud environment: a solution for big data forensics

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Thabo Semong ◽  
Thabiso Maupong ◽  
Andrew Blyth ◽  
Oteng Tabona
Keyword(s):  
Big Data ◽  
Cloud Environment ◽  
Data Forensics

A Study on Digital Forensics in Hadoop

2016 ◽  
Vol 4 (2) ◽  
pp. 473 ◽  
Author(s):  
Sachin Arun Thanekar ◽  
K. Subrahmanyam ◽  
A.B. Bagwan
Keyword(s):  
Big Data ◽  
Open Source ◽  
Data Storage ◽  
High Velocity ◽  
Digital Forensics ◽  
Short Description ◽  
Open Source Tool ◽  
Automated Tool ◽  
Data Forensics

<p>Nowadays we all are surrounded by Big data. The term ‘Big Data’ itself indicates huge volume, high velocity, variety and veracity i.e. uncertainty of data which gave rise to new difficulties and challenges. Hadoop is a framework which can be used for tremendous data storage and faster processing. It is freely available, easy to use and implement. Big data forensic is one of the challenges of big data. For this it is very important to know the internal details of the Hadoop. Different files are generated by Hadoop during its process. Same can be used for forensics. In our paper our focus is on digital forensics and different files generated during different processes. We have given the short description on different files generated in Hadoop. With the help of an open source tool ‘Autopsy’ we demonstrated that how we can perform digital forensics using automated tool and thus big data forensics can be done efficiently.</p>

scholarly journals Enterprise Tools for Data Forensics

2021 ◽  
pp. 0098-0105
Author(s):  
Zlatan Moric ◽  
Jasmin Redzepagic ◽  
Frano Gatti
Keyword(s):  
Data Forensics
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