Digital Forensic Advanced Evidence Collection and Analysis of Web Browser Activity

Authors

  • Ganesh Majeti School of Computer Science & Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India
  • Sai Sundar YVL School of Computer Science & Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India
  • Sai Shanmukh Ulichi School of Computer Science & Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India
  • Sachi Nandan Mohanty School of Computer Science & Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India
  • Sudha S. V. School of Computer Science & Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India

DOI:

https://doi.org/10.4108/eetsis.3357

Keywords:

Digital Forensics, Web Browser Forensic, Digital Evidence, Framework, Integrated Analysis, Search word analysis, URL decoding

Abstract

Web browsers are the applications that the majority of computer users utilize the most. Users carry out a wide range of tasks, including accessing the internet, downloading files, and using social media programs, using a web browser to access email accounts. Many crimes committed using digital resources need to be investigated by looking at online browser history. Such information must be included in the reports of the examiners that will generate one of the data gathered, particularly about crimes involving entering the URL, downloaded files, access times, search phrases browser type, and times. Different methods are used by web browsers to store user data. Additionally, the locations where data is stored vary depending on the operating system being used. The analysis of web browsers on digital resources that are subject to criminal activity, data from various browsers on various operating systems, storage types, and data types that can be retrieved are all demonstrated in this study. Also, we demonstrated  the capabilities and tools used in the web browser to review the records.

References

Article: Berners-Lee T, Masinter L, M. Mc Cahill. RFC 1738:Uniform Resource. Uniform Resource Locators (URL). December 1994;Page 2,3. Locator(URL), http://tools.ietf.org/html/rfc1738.

Journal: Jones Keith J. Forensic analysis of internet explorer activity files. Foundstone,2003, Url http://www.foundstone.com/us/pdf/wp_index_dat.pdf

Journal: Jones Keith j, Rohyt Blani. Web browser forensic. Security focus, 2005a,2005b. http://www.securityfocus.com/infocus/1827;

Book: Humairu Arshad, Aman Jantan, Esther Omolara. Evidence collection and forensics on social networks Research challenges and directions, Digital Investigation, Volume 28,2019,Pages 126-138,ISSN 1742-2876.

Article: Jadhav, Mayur Rajendra, and Dr. Bandu Baburao Meshram. "Web Browser Forensics for Detecting User Activities." vol. 5, no. 7, 2018

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Published

28-06-2023

How to Cite

1.
Majeti G, YVL SS, Ulichi SS, Mohanty SN, S. V. S. Digital Forensic Advanced Evidence Collection and Analysis of Web Browser Activity. EAI Endorsed Scal Inf Syst [Internet]. 2023 Jun. 28 [cited 2024 Jul. 22];10(5). Available from: https://publications.eai.eu/index.php/sis/article/view/3357

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