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Use Of Digital Forensic Technology To Reveal The Identity Of Social Engineering Crimes.
- Source :
- Riwayat: Educational Journal of History & Humanities; 2024, Vol. 7 Issue 3, p1000-1008, 9p
- Publication Year :
- 2024
-
Abstract
- The threat of social engineering attacks is highly evident in Indonesia. This is reflected in the IDADX report, which shows a significant increase in phishing attack complaints in Indonesia during the first quarter of 2023, with 26,675 reports, up from 6,106 reports in the fourth quarter of 2022. The highest number of attacks occurred in February with 15,050 cases. This also resulted in Indonesia being the 8th country with the highest number of data breach cases globally, with 820,000 cases in the second quarter of 2022, according to Surfshark. The purpose of this research is to analyze the utilization of digital forensic technology in collecting digital evidence to reveal the identities of social engineering crime perpetrators. The writing of this article uses a qualitative analysis method supported by digital forensic theory. The results of the discussion indicate that forensics focuses on the identification, collection, analysis, and preservation of digital evidence that can be used in legal proceedings. Digital forensics leverages computer technology and digital devices to uncover and secure information relevant to a crime. In social engineering crimes, which involve psychological manipulation to obtain information or certain access from victims, digital forensics plays a crucial role in identifying, collecting, analyzing, and preserving digital evidence that can reveal the identities of the perpetrators and their methods. Digital forensic technology is used to analyze emails, text messages, activity logs, and other digital traces left by the perpetrators. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 26143917
- Volume :
- 7
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Riwayat: Educational Journal of History & Humanities
- Publication Type :
- Academic Journal
- Accession number :
- 181001067
- Full Text :
- https://doi.org/10.24815/jr.v7i3.39700