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Studi Litelatur: Peningkatan Kinerja Digital Forensik Dan Pencegahan Cyber Crime Risky Mezi Muria; Arif Muntasa; Muhammad Yusuf; Ardi Hamzah
Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Vol 3 No 1 (2022): Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) April 2022
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/jatim.v3i1.1422

Abstract

The more complex a problem that arises due to an ease in information technology makes cyberattacks increasingly dangerous and dangerous for systems within a country or entity. Crimes thatarise must be detected and a preventive action taken immediately so that no party is harmed for atechnological crime. This study aims to find various methods to review and investigate cyberattacks for security in digital forensics and can provide input and additional insight to all partiesincluding investigators or practitioners and users in the field of digital forensics about variousmethods that can be used to detect and prevent cyber attacks. This research was conducted byconducting a literature study of various studies on cyber attacks. The research method used isdescriptive qualitative method by taking data from literacy studies on research on cyber attacks.The results of the literature study show that the factors that can improve the performance of digitalforensics are the Digital Forensics Framework For Reviewing And Investigating Cyber Attacks(D4I), holistic digital organization, biometric authentication with image forensics schemes, largescale interconnection systems, LSS control architecture, system network control (AE-Safe), DigitalForensic Readiness Index (DiFRI), LEChain, Verification Of Digital Evidence (VODE)Framework, Capsule of Digital Evidence (CODE), The Phase-oriented Advice and ReviewStructure (PARS), IEEE-system 14 and IEEE-39 stability control, Cyber-Physical System (CPS),STPA-SafeSec, Digital Evidence Reporting and Decision Support (DERDS), ExperDF-CM modeland Argumentation-Based Reasoner (ABR)