Advanced digital forensics with Open Source tools

2011 ◽  
Author(s):  
Richard Austin
Keyword(s):  
Open Source ◽  
Digital 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>

Is the Open Way a Better Way? Digital Forensics Using Open Source Tools

2007 ◽  
Author(s):  
Dan Manson ◽  
Anna Carlin ◽  
Steve Ramos ◽  
Alain Gyger ◽  
Matthew Kaufman ◽  
...  
Keyword(s):  
Open Source ◽  
Digital Forensics

Digital Forensics with Open Source Tools

2011 ◽  
pp. 1-8 ◽  
Author(s):  
Cory Altheide ◽  
Harlan Carvey
Keyword(s):  
Open Source ◽  
Digital Forensics

scholarly journals Cyber Crime Investigation: Landscape, Challenges, and Future Research Directions

2021 ◽  
Vol 1 (4) ◽  
pp. 580-596
Author(s):  
Cecelia Horan ◽  
Hossein Saiedian
Keyword(s):  
Open Source ◽  
Language Processing ◽  
Digital Forensics ◽  
New Technology ◽  
Future Research ◽  
Cyber Crime ◽  
Research Directions ◽  
Digital Forensic ◽  
Open Source Intelligence ◽  
Future Research Directions

As technology has become pivotal a part of life, it has also become a part of criminal life. Criminals use new technology developments to commit crimes, and investigators must adapt to these changes. Many people have, and will become, victims of cybercrime, making it even more important for investigators to understand current methods used in cyber investigations. The two general categories of cyber investigations are digital forensics and open-source intelligence. Cyber investigations are affecting more than just the investigators. They must determine what tools they need to use based on the information that the tools provide and how effectively the tools and methods work. Tools are any application or device used by investigators, while methods are the process or technique of using a tool. This survey compares the most common methods available to investigators to determine what kind of evidence the methods provide, and which of them are the most effective. To accomplish this, the survey establishes criteria for comparison and conducts an analysis of the tools in both mobile digital forensic and open-source intelligence investigations. We found that there is no single tool or method that can gather all the evidence that investigators require. Many of the tools must be combined to be most effective. However, there are some tools that are more useful than others. Out of all the methods used in mobile digital forensics, logical extraction and hex dumps are the most effective and least likely to cause damage to the data. Among those tools used in open-source intelligence, natural language processing has more applications and uses than any of the other options.

scholarly journals Performance Comparison of Forensic Software for Carving Files using NIST Method

2019 ◽  
Vol 7 (3) ◽  
pp. 89-92
Author(s):  
Doddy Teguh Yuwono ◽  
Abdul Fadlil ◽  
Sunardi Sunardi
Keyword(s):  
Success Rate ◽  
Open Source ◽  
Digital Forensics ◽  
Data Retrieval ◽  
Performance Comparison ◽  
File Carving ◽  
The Media ◽  
Forensic Tools

Data lost due to the fast format or system crash will remain in the media sector of storage. Digital forensics needs proof and techniques for retrieving data lost in storage. This research studied the performance comparison of open-source forensic software for data retrieval, namely Scalpel, Foremost, and Autopsy, using the National Institute of Standards Technology (NIST) forensic method. The testing process was carried out using the file carving technique. The carving file results are analyzed based on the success rate (accuracy) of the forensic tools used in returning the data. Scalpel performed the highest accuracy for file carving of 100% success rate for 20 document files in pdf and Docx format, and 90% for 10 image files in png and jpeg format.

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