Š. Grigaliūnas “Development of cybercrime forensics investigation method” doctoral dissertation defence

Author, Institution: Šarūnas Grigaliūnas, Kaunas University of Technology

Science area, field of science: Technological Sciences, Informatics Engineering, T007

Scientific Supervisor: prof. dr. Jevgenijus Toldinas (Kaunas University of Technology, Technological Sciences, Informatics Engineering, T007)

Dissertation Defence Board of Informatics Engineering Science Field:
Prof. Dr. Rimantas Butleris (Kaunas University of Technology, Technological Sciences, Informatics Engineering, T007) – chairman,
Prof. Dr. Habil. Gintautas Dzemyda (Vilnius University, Technological Sciences, Informatics Engineering, T007),
Assoc. Prof. Dr. Nikolaj Goranin (Vilnius Gediminas Technical University, Technological Sciences, Informatics Engineering, T007),
Prof. Dr. Rytis Maskeliūnas (Kaunas University of Technology, Technological Sciences, Informatics Engineering, T007),
Prof. Dr.  Raimundas Matulevičius (University of Tartu, Estonia,Kaunas University of Technology, Technological Sciences, Informatics Engineering, T007).

The doctoral dissertation is available at the libraries of Kaunas University of Technology (K. Donelaičio St. 20, Kaunas, Lithuania) and Vilnius Gediminas Technical University (Saulėtekio al. 14, Vilnius)

Annotation:

Computer crime investigations pose many challenges for law enforcement and information security. The rapidly increasing demands on experts are influencing the evolution of tools, models, and methods for investigating digital evidence of cybercrime.

The thesis reveals specialized methods, models and tools that help the expert to reduce the sample of research data, as well as to solve the problems of searching and identification of digital evidence of computer crime. The habits attribution profiling method has been introduced, which allows reducing the amount of expert research data for the search for digital evidence of computer crime. The demonstrated digital evidence object model links the suspicious to the digital evidence of the crime in cyberspace and provides the expert with a basis for tracing digital evidence of criminal activity.

In the thesis is developed such a specialized method of expert investigation of computer crime that can reduce the representative amount of data analyzed for digital evidence, help the expert to extract digital evidence, and speed up the time of the examination.