WBEC: A web browsers evidence collection toolkit for web browsers usage in Windows 10
Criminals can utilize the web browser to perform both traditional and cybercrime by looking for information to plan and execute their crimes. As a result, while performing a digital forensic investigation, collecting more forms of digital evidence from a web...
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| Format: | Article |
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Academia Industry Networks
2022
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| _version_ | 1825938739513262080 |
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| author | Rayman, Dafiqah Mior Asmawi, Aziah Mohd Ariffin, Noor Afiza |
| author_facet | Rayman, Dafiqah Mior Asmawi, Aziah Mohd Ariffin, Noor Afiza |
| author_sort | Rayman, Dafiqah Mior |
| collection | UPM |
| description | Criminals can utilize the web browser to perform both traditional and cybercrime by looking for information to plan and execute their crimes. As a result, while performing a digital forensic investigation, collecting more forms of digital evidence from a web browser is critical. Although there are numerous online browser evidence gathering techniques accessible, the number of digital evidence types collected is still insufficient. Although there are 18 different categories of digital evidence, only 12 of them can be extracted using a single method. Furthermore, because the hashing algorithm employed in present technologies is MD5, the evidence gathered still lacks integrity. By developing proofs-of-concept, this study presented a WBEC: Web Browsers EvidenceCollection Toolkit for improving the gathering of digital evidence kinds. WBEC is a web browser forensics acquisition approach for Google Chrome and Mozilla Firefox, the two most popular web browsers in the Windows 10 environment. This research will also increase the reliability of the data gathered. The amount of data type evidence collections and security measures to secure the integrity of evidence collected are measured by evaluating available tools, developing a proof-of-concept toolkit, and comparingfunctioning tools. Web browsing history, keyword searches, cookies, cache, bookmarks, downloaded files, login id, password, email, and social media are all examples of evidence data types that can help with a digital forensic investigation. In addition, the SHA-1 hashing algorithm was used to improve the evidence's integrity. The proof-of-concept toolset found 16 different categories of evidence, accounting for 88.89 percent of all evidence found. In addition, the SHA-1 hashing method is more secure than MD5 since it takes longer to crack. |
| first_indexed | 2024-03-06T11:17:43Z |
| format | Article |
| id | upm.eprints-102617 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T11:17:43Z |
| publishDate | 2022 |
| publisher | Academia Industry Networks |
| record_format | dspace |
| spelling | upm.eprints-1026172024-02-14T04:08:17Z http://psasir.upm.edu.my/id/eprint/102617/ WBEC: A web browsers evidence collection toolkit for web browsers usage in Windows 10 Rayman, Dafiqah Mior Asmawi, Aziah Mohd Ariffin, Noor Afiza Criminals can utilize the web browser to perform both traditional and cybercrime by looking for information to plan and execute their crimes. As a result, while performing a digital forensic investigation, collecting more forms of digital evidence from a web browser is critical. Although there are numerous online browser evidence gathering techniques accessible, the number of digital evidence types collected is still insufficient. Although there are 18 different categories of digital evidence, only 12 of them can be extracted using a single method. Furthermore, because the hashing algorithm employed in present technologies is MD5, the evidence gathered still lacks integrity. By developing proofs-of-concept, this study presented a WBEC: Web Browsers EvidenceCollection Toolkit for improving the gathering of digital evidence kinds. WBEC is a web browser forensics acquisition approach for Google Chrome and Mozilla Firefox, the two most popular web browsers in the Windows 10 environment. This research will also increase the reliability of the data gathered. The amount of data type evidence collections and security measures to secure the integrity of evidence collected are measured by evaluating available tools, developing a proof-of-concept toolkit, and comparingfunctioning tools. Web browsing history, keyword searches, cookies, cache, bookmarks, downloaded files, login id, password, email, and social media are all examples of evidence data types that can help with a digital forensic investigation. In addition, the SHA-1 hashing algorithm was used to improve the evidence's integrity. The proof-of-concept toolset found 16 different categories of evidence, accounting for 88.89 percent of all evidence found. In addition, the SHA-1 hashing method is more secure than MD5 since it takes longer to crack. Academia Industry Networks 2022-03 Article PeerReviewed Rayman, Dafiqah Mior and Asmawi, Aziah and Mohd Ariffin, Noor Afiza (2022) WBEC: A web browsers evidence collection toolkit for web browsers usage in Windows 10. International Journal of Technology Management and Information System, 4 (1). pp. 1-15. ISSN 2710-6268 https://myjms.mohe.gov.my/index.php/ijtmis/article/view/17664 |
| spellingShingle | Rayman, Dafiqah Mior Asmawi, Aziah Mohd Ariffin, Noor Afiza WBEC: A web browsers evidence collection toolkit for web browsers usage in Windows 10 |
| title | WBEC: A web browsers evidence collection toolkit for web browsers usage in Windows 10 |
| title_full | WBEC: A web browsers evidence collection toolkit for web browsers usage in Windows 10 |
| title_fullStr | WBEC: A web browsers evidence collection toolkit for web browsers usage in Windows 10 |
| title_full_unstemmed | WBEC: A web browsers evidence collection toolkit for web browsers usage in Windows 10 |
| title_short | WBEC: A web browsers evidence collection toolkit for web browsers usage in Windows 10 |
| title_sort | wbec a web browsers evidence collection toolkit for web browsers usage in windows 10 |
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