Ubiquitous digitization enables promising options for cultural heritage preservation. Therefore, a new approach is presented that considers deployment scenarios by linking heritage science to tourism. Such an approach is necessary because neither technology nor society views can be treated separately to obtain deployable solutions of a wider social, and even national importance. Clearly, while the traditional approaches to cultural heritage preservation will remain a gold standard, they will be increasingly complemented by digital preservation techniques. Thus, based on practical implementations and lessons learnt in other areas, this multidisciplinary framework paper analyses existing disruptive information technologies deployments. In line with the findings it presents a novel technological architecture tailored to the needs of cultural heritage preservation that deploys an open blockchain architecture. The architecture preserves the advantages of traditional blockchains, which made this technology so important, while enabling energy efficient implementations that can be deployed in mobile applications. By additionally using the contribution-ware principle it links it to tourism, where the identification of users focused incentives and business models play a central role. It is obvious that tourism is a good candidate in such preservation efforts due to the organic links between it and cultural heritage and can support further developments in the heritage preservation domain.

Machine learning (ML) is becoming an integral part of networks security arsenal, where Internet of Things (IoT) structures play an increasingly important role. However, IoT networks have many specific requirements, mostly due to limited energy availability and stringent computing resources. This results in limitations for traditional ML approaches to security, in particular for anomaly detection. Consequently, new focuses for solutions that range from architectural to data processing ones are necessary. Therefore, appropriate lightweight ML algorithms have to be designed and deployed in appropriate architectural settings, which is the main contribution of this paper. In addition, insights into ML functioning are needed to better understand the observed anomalies. To enable these insights (and support a wider applicability of ML based approaches), the results have to be as explainable as possible. The research presented in this paper addresses this problem through the functional and data transparency of ML applications, tailored to the specifics of anomaly detection in IoT networks. To tackle accordingly also the architectural issues, the presented approach builds on the well-established layering principle from computer communications reference models. This principle not only supports flexibility but also increases security in these new environments of growing importance.

The main goal of proactive security is to prevent attacks before they happen. In modern information systems it largely depends on the vulnerability management process, where prioritization is one of the key steps. A widely used prioritization policy based only upon a common vulnerability scoring system (CVSS) score is frequently criticised for bad effectiveness. The main reason is that the CVSS score alone is not a good predictor of vulnerability exploitation in the wild. Therefore, the aim of the research in this field is to determine in what way we can improve our prediction abilities. Clearly, software vulnerabilities are commodities used by attackers. Hence, it makes sense considering their characteristics in vulnerability prioritization. In contrast, one should be able to measure and compare the effectiveness of various policies. Therefore, an important goal of this paper was to develop an evaluation model, which would allow such comparisons. For this purpose, we developed an agent-based simulation model which measures the exposure of information system to exploitable vulnerabilities. Besides, some policies which take into account human threats were defined and then compared with the most popular existing methods. Experimental results imply that the proposed policy, which is based on CVSS vectors and attacker characteristics, achieves the highest effectiveness among existing methods.

The paper presents an interdisciplinary approach to the treatment of the FormaViva collection of wooden sculptures exhibited outdoors in a natural environment near the Božidar Jakac Art Museum in Kostanjevica na Krki in Slovenia. The study focuses on 3D graphic representations of sculptures created with photogrammetry and 3D modelling. The results are photorealistic renderings, interactive presentations, 3D printed reproductions, jewellery, and interpretive animations. The research results show that graphic documentation techniques on 3D models allow for a more detailed investigation of the original structural identity of the sculpture. By incorporating 3D and interactive technologies, we are expanding the usability of cultural heritage objects. By using interpretive techniques that have led to jewellery and interpretive animations in our research, we not only breathe new life into the sculptures, but also enrich the stories of the sculptures with our own experiences of the sculptural work.

The immense success of Bitcoin has also highlighted the hidden potential of blockchains and distributed ledgers in general. However, most blockchains are based on the so-called Proof-of-Work principle, which requires significant resources, making them unsuitable for the growing number of Internet of Things devices, not to mention other problems such as ensuring privacy and resistance to quantum computing. This paper, therefore, analyses current approaches in the field of ledgers with applications for the Internet of Things. Based on this, it presents a new ledger architecture for cultural heritage preservation that is energy sustainable and tailored to smartphones while pushing the deployment boundaries closer to the rest of the Internet of Things world. It is also resistant to quantum computing and provides privacy with accountability. Moreover, the developed solution considers not only the core technological structure but also its broader social (business) context, i.e., links to the tourism sector. This is performed by incorporating the relevant business model, as business models are important for the successful adoption of new technologies.

Security has been among top priority in computer information systems for more than a decade. Despite the importance of this area, it is interesting to note that the area still lacks (completeness of) one of its basic elements of scientific arsenal, which is metric. This paper therefore presents the situation in this field by giving an analysis of existing metrics that could serve the above-mentioned purpose. Further, it presents a generic risk management model, and gives an analysis of possibilities for application of these existing metrics to the model. It also introduces new metric elements, where these are lacking. As a result, means are provided that enable evaluation of security in information technology systems in a tangible way. Such an approach is essential for every organization in business areas ranging from economical justifications for new security implementations to customized security services with appropriate service costs calculations, and even development of new business models.