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Analisis Ancaman Kejahatan Siber Bagi Keamanan Nasional Pada Masa Pandemi COVID-19 Amarullah, Abdul Hanief; Runturambi, Arthur Josias Simon; Widiawan, Bondan
Jurnal Kajian Stratejik Ketahanan Nasional Vol. 4, No. 2
Publisher : UI Scholars Hub

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Abstract

COVID-19, a new variant of pneumonia had the ability to spread rapidly. The resulting impact of the rapid spread of the virus can be seen in all parts of the world. One of them is the change of behavior where face-toface activities are now held online, which has an impact on the increase of internet usage, also the increase of cybercrime threats. This research aims to determine the level of threat of cybercrime that occurred during the COVID-19 pandemic, as well as the role of the Indonesian government in identifying and mitigating it. Data on cybercrime and key events used is data from February through April of 2020, obtained from various open sources. Timeline analysis is used on cybercrime and key events data to help make identifying cybercrime easier before a threat analysis is performed. Cybercrimes that occur during time of research can be categorized into 4 (four) threat agents; malware, online fraud, Zoombombing, and Distributed Denial-of-Service (DDoS). Malware becomes the majority of threat agent, and after the threat analysis is performed, belongs to ‘critical’ level, while online fraud and DDoS fall into the ‘high’ level and zoombombing falls into ‘negligible’ level. Government agencies responsible for detecting and mitigating cyber crime threats are the National Cyber and Crypto Agency, State Intelligence Agency, and Indonesian National Police. Keywords: COVID-19, cybercrime, threat analysis
Illicit Cryotocurrency Investigation Digital Forensic Framework: Integrating Off-chain and On-Chain Analysis for Two Types of Crime Regina, Oliva; Ramli, Kalamullah; Amarullah, Abdul Hanief
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 3 No. 2 (2025)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v3i2.135

Abstract

Cryptocurrencies have emerged as integral components of modern financial ecosystems, yet their pseudonymous nature poses significant challenges for digital crime investigations. This study proposes the Illicit Cryptocurrency Investigation Digital Forensic Framework, a novel model that integrates both on-chain and off-chain forensic techniques into a cohesive investigative process. Unlike prior research that treats blockchain analysis and conventional digital forensics separately, this framework combines blockchain transparency with contextual digital artifacts to form a unified approach. Validated by expert judgement from digital forensic practitioners, the framework is designed to address two primary crime scenarios: Type A, where investigations begin with suspect-owned devices; and Type B, where blockchain transactions provide the first investigative lead. The framework’s structured process—from identification to reporting—ensures evidentiary integrity, traceability, and legal admissibility. Beyond its practical application, the study lays groundwork for future developments, including the integration of artificial intelligence and cross-border legal interoperability in cryptocurrency-related crime investigations