PROJECT

Development of Integrated Analysis and Inference System for Cybercrime Investigation (Cyber C.O.P)

Research Goal

Despite the rapid surge in cybercrimes—such as online fraud, phishing, and online sexual exploitation—that are becoming increasingly intelligent and sophisticated, the current investigative approach is showing limitations due to issues including fragmented data collection, delays in early response, and reliance on costly foreign solutions. These issues lead to delay in prolonged investigations, low arrest rates, and the repeated spread of harm, heightening public anxiety.

This R&D project aims to build an Integrated Analysis and Inference System for Cybercrime Investigation (Cyber C.O.P)—an AI-based platform that automatically collects, preprocesses, and analyzes diverse types of crime data in order to visualize and infer actionable results. The system will augment investigators’ judgment and systematically support the entire process from the initial stage of a case to suspect identification and apprehension, improving both efficiency and accuracy.

Ultimately, the project seeks to secure core technologies for a Korea-tailored, real-time cybercrime response framework, thereby enhancing the speed, accuracy, and objectivity of cybercrime response while strengthening police investigative capabilities and public safety.

Key Technology

Data Collection and Analytics: Develop technology that automatically collect and analyze cybercrime-related information, including open-source intelligence (OSINT), cryptocurrency transaction records, and financial/telecommunications data.

Pre-processing and Metadata Processing: Convert heterogeneous unstructured and semi-structured data into an analyzable form through cleansing, validation, and metadata extraction.

Relationship Analysis: Apply network-based analysis to explore relationships among investigative leads and drive key leads.

Composite Inference: Leverage time-series and geospatial information together with human networks to infer suspects and articulate legal grounds (e.g. the necessity of compulsory measures such as warrants).

Integrated Platform: Build an integrated cybercrime-investigation platform that combines the above capabilities, providing investigators with intuitive visualizations and automated investigative support.

Expected Outcomes

Scientific & Technical Aspects

Lead the field of cybercrime response technologies.

Secure capabilities for integrated analysis and multimodal data processing.

Create investigative synergies by combining big data and AI.

Advance AI transparency and composite reasoning frameworks.

Economic & Industrial Aspects

Create a data analytics/visualization market in the public-safety sector to replace foreign solutions

Develop domestic and overseas markets based on homegrown AI-driven policing technologies.

Radically shorten time for data pre-processing, lead analysis, and inference, achieving labor-cost reductions.

Social Aspects

Improve human rights by enhancing the fairness and transparency of investigations.

Strengthen investigators’ capabilities.