The goal of SSTM'17 was to attract young researchers, Ph.D. students, practitioners, and industry experts to bring contributions in the area of Security, Safety and Trust Management, especially in the developments of computing, management and programming models, technologies, framework and middleware.

In this research, a literature review was conducted where twenty (n=20) frameworks and models highlighting preservation of the integrity of digital evidence and protection of basic human rights during digital forensic investigations were studied. The models not discussing the process at an abstract level were excluded. Therefore, thirteen (n=13) of the studied models were included in our analysis. The results indicated that published abstract models lack preserving the integrity of digital evidence and protecting the basic human rights as explicit overarching umbrella principles. To overcome this problem, we proposed an extension to Reith's abstract digital forensics model explicating preservation of integrity and protection of human rights as the two necessary umbrella principles.

The ever-increasing complexity and sophistication of computer and network attacks challenge society's dependability on digital infrastructure. Digital investigations recover and reconstruct the digital trails of such events and may employ practices from various subfields (computer, network forensics), each with its own set of techniques and tools. Integration of evidence from heterogeneous sources of data (e.g. disk images, network packet captures, logs) is often a manual and time- consuming process relying significantly on the investigator's expertise. In this paper, we propose and develop an approach, based on the Semantic Web framework, for ontologically representing and integrating digital evidence. The presented approach enhances existing forensic analysis techniques by providing partial and eventually full automation of the investigative process.