| Title |
Habits attribution and digital evidence object models based tool for cybercrime investigation / |
| Authors |
Grigaliūnas, Šarūnas ; Toldinas, Jevgenijus |
| DOI |
10.22364/bjmc.2020.8.2.05 |
| Full Text |
|
| Is Part of |
Baltic journal of modern computing.. Riga : University of Latvia. 2020, vol. 8, iss. 2, p. 275-292.. ISSN 2255-8942. eISSN 2255-8950 |
| Keywords [eng] |
cybercrime ; forensic investigation methods ; models and tools ; digital evidence |
| Abstract [eng] |
The amount of data stored on computers is growing rapidly every year, which makes time-consuming investigation of digital evidence in cybercrime, because of the need to investigate a large amount of data and extract criminal evidence from it. Expert investigation begins with the collection, copying and authentication of each content on the digital medium. The following steps deal with the findings and extract evidence of crime using a variety of methods and tools. Our research deals with the frameworks, methods, models and tools of the search for digital evidence of cybercrime. However, there is as yet no specialized method and tool available to assist an expert in reducing the size of investigated data and to solve the problem of searching for and identifying digital evidence of cybercrime due to the lack of specialized tools and techniques to automate expert investigation. In this paper we propose cybercrime forensic investigation tool based on the digital evidence object model. |
| Published |
Riga : University of Latvia |
| Type |
Journal article |
| Language |
English |
| Publication date |
2020 |
| CC license |
|
