Research & innovation

Scientific research called “The analysis of the peculiarity of IoT technology, cybercrime on IoT and existing methods of digital forensics readiness and investigation“

The major objective of the project „Lithuanian Cybercrime Centre of Excellence for Training, Research & Education” (L3CE) is to improve the results in fighting against cybercrime in Lithuania as well as international cyber-crimes in East Baltic Region and EU. To achieve that, one of aims of this project is to bring newest developments to Lithuania and assure constant innovation by facilitating interdisciplinary Research and Development (R&D).

The Internet of Things (IoT) is a novel-networking paradigm, which allows the communication among all types of physical objects over the Internet. The IoT defines a worldwide cyber-physical system with a plethora of applications in the fields of domestics, e-health, goods monitoring and logistics, among others.

In 2011, the number of networked devices – the so-called ‘Internet of Things’ – overtook the total global population. By 2020, the number of connected devices may outnumber connected people by six to one, potentially transforming current conceptions of the Internet, the Future Internet, Internet of Things, is developed. In the hyperactive connected world of tomorrow, in the future internet, it will become difficult to imagine a ‘computer crime’, and perhaps any crime that does not involve electronic evidence linked with technology of the IoT.

Operations and application models of the IoT are different from the traditional networks and have brought great challenges and opportunities to digital forensic technology. In order to investigate cyber-crime on the IoT new, innovative Digital forensics readiness and investigation methods are needed to be developed.

In this research report provided by scientists at Kaunas University of Technology, among other things, the peculiarity of IoT technology and cybercrime in IoT, existing methods and tools of digital forensics readiness and investigation, and possibilities of their application for investigation of a cybercrime in the IoT are presented.