Digital Forensics & Cybercrime Investigation
We are scientists and analysts of network security, cyber attacks, psychology and practical implementations of digital forensics evidence, developing new visualization methods for cybercrime awareness and building security culture.
Our Research Models
Digital Evidence Investigation of Cybercrime Tool
A comprehensive tool for digital evidence investigation and cybercrime analysis, supporting situation-aware intelligent time-critical decision making and automated knowledge discovery in the digital forensics domain.
Digital Evidence Objects Model
An innovative model based on category theory principles, designed for digital investigation analysis with respect to the 5Ws methodology, combining crime investigation with object-oriented programming.
Habits Identification Domain
Advanced methodology for habits attribution profiling, enabling more precise identification and analysis of behavioral patterns in digital forensics investigations.
Digital Evidence Object Model
In cybercrime investigation, theoretical methodology and practical tools have become two essential technologies. Our research proposes a novel Digital Evidence Object (DEO) Model that combines the crime investigation process with object-oriented programming principles, providing a valid and reliable framework for digital evidence investigation.
Ontology-Based Transformation
Our research focuses on creating ontology-based transformation models for the digital forensics domain. We develop systems that enable separate formulation and incorporation of domain-specific concepts as ontologies, facilitating better tool selection for digital evidence investigation.
XML Document Transformation
Advanced XML transformation techniques for mapping computer forensics ontologies using NIST Computer Forensics Tool Catalog representations.
Cyber Forensics Ontology
Five-layer hierarchical structure covering technology and profession domains including hardware, software, law, academia, and private sector.
Tool Catalog Integration
Seamless integration with NIST's Computer Forensics Tool Catalog for enhanced tool selection and digital evidence investigation.
Automated Knowledge Discovery
Intelligent systems for automated knowledge extraction and preservation of data integrity in digital forensics investigations.
Research Results
To achieve evaluation results of our proposed models, the Digital Evidence Investigation of Cybercrime (DEIC) tool was developed. Using the DEIC tool, experiments with digital evidence investigation of cybercrime from ten disk images with forensic artifacts were conducted, demonstrating the effectiveness of our methodological approach.
About Digital Evidence Investigation of Cybercrime (DEIC) Tool
The DEIC tool implements our Digital Evidence Object (DEO) model for digital forensic investigation. The model is based on principles of category theory and supports situation-aware intelligent time-critical decision making and automated knowledge discovery in the digital forensics domain.