ACRA: A Cutting-Edge Analytics Platform for Advanced Real-Time Corruption Risk Assessment and Investigation Prioritization

被引:0
作者
Peppes, Nikolaos [1 ]
Daskalakis, Emmanouil [1 ]
Alexakis, Theodoros [1 ]
Adamopoulou, Evgenia [1 ]
机构
[1] Natl Tech Univ Athens, Sch Elect & Comp Engn, Inst Commun & Comp Syst, Athens 15773, Greece
来源
EMBEDDED COMPUTER SYSTEMS: ARCHITECTURES, MODELING, AND SIMULATION, SAMOS 2024, PT II | 2025年 / 15227卷
关键词
corruption crime investigation; risk assessment; decision making; predictive analytics; risk classification; NEURAL-NETWORKS;
D O I
10.1007/978-3-031-78380-7_15
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In the realm of anti-corruption initiatives, critical challenges need to be addressed for reinforcing the global fight against corruption. FALCON, a Horizon Europe research program, employs a multi-actor, evidence-based approach to develop actionable indicators and data-driven tools aiming to offer comprehensive corruption intelligence. In this context, the proposed prototype tool, ACRA (Advanced Corruption Risk Assessment), addresses FALCON's objectives. Designed for Law Enforcement Agencies and Anti-corruption Authorities, ACRA enables real-time analysis for identifying high risks related to corruption cases. The platform allows for anomaly detection in ownership structures, generating corruption probability scores based on diverse risk indicators, providing an overall risk assessment report based on likelihood and impact, integrating inputs from various sources, and tracing cross-border links. ACRA stands as a customizable, real-time analytical platform prototype, facilitating the identification and prioritization of investigations. The current study contributes to the scope of the SAMOSXXIV conference by presenting the capabilities of the ACRA tool and the challenges addressed by it, focusing on transparency and on the sharing of insights that may benefit the broader research community.
引用
收藏
页码:179 / 190
页数:12
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