Raising awareness of cybersecurity issues and improving the digital literacy and skills in terms of recognition and management of threats is considered as a high-priority action. Service-Oriented Architecture(SOA) provides several benefits, including greater efficiency and open access to applications, services, and information, but their very openness creates unique and significant security challenges for organizations. SOA principles are widely used because they provide loose-coupling, service automation, extensible architecture and enhanced reuse. This paper addresses the security challenges of SOA considering their business and technical impact and performs a mapping to mitigation measures and tools. The process involves identifying the main security vulnerabilities and researching solutions for cyber attacks prevention. It also proposes business level measures to mitigate cybersecurity risks and vulnerabilities in SOAs. Several European projects and open source solutions whose aim is to ensure the security and the privacy of SOA are identified, analyzed and proposed as tools for enhanced security in the second part of the paper.

This paper presents the approaches related to the need for large volume data analysis, Big Data, and also the information that the beneficiaries of this analysis can interpret. Aerospace companies understand better the challenges of Big Data than the rest of the industries. Also, in this paper we describe a novel analytical system that enables query processing and predictive analytics over streams of large aviation data.

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Time Series Database (TSDB), is a particular type of data repository. TSDBs are capable of diverse functionalities regarding operations on time series data and are developed using different technologies. A large number of TSDB solutions, available both as open source and commercial software, has emerged in the last years. Selecting the proper TSDB is a challenging endeavour for a potential enterprise client. In this paper, a set of open-source TSDBs which includes InfluxDB, Graphite, RRDTool, Prometheus, OpenTSDB and TimescaleDB-has been selected for analysis, evaluation and ranking. A comparison of TSDBs implies the establishment of a set of attributes. A set of quantitative and qualitative attributes which have different scales and units of measure has been selected. The problem of selecting or ranking TSDBs evaluated in this paper with a set of attributes is a Multi-Attribute Decision Making problem (MADM). For solving the TSDBs evaluation, analysis and selection a multi-attribute TSDBs maturity model has been proposed. The model for the selected TSDBs set and for the 18 attributes, 10 quantitative and 8 qualitative, has been validated. The model for all the attributes, both quantitative and qualitative, has been solved and, finally, a comparison between the obtained rankings has been made. The comparison of the ranks obtained shows that the leading TSDB is InfluxDB.

Dirofilaria immitis is an important mosquito-borne nematode, being of both veterinary and public health concern. The typical final host is represented by the domestic dog, Canis familiaris, but it is able to infect a large variety of mammalian species. During the present study (March 2016–February 2022), a total of 459 wild carnivore carcasses belonging to 17 species, from Romania, were evaluated for the presence of adult D. immitis by necropsy. Overall, 20 animals (4.36%) were positive: twelve golden jackals, C. aureus (19.05%); four red foxes, Vulpes vulpes (6.67%); one raccoon dog, Nyctereutes procyonoides; two wild cats, Felis silvestris (4.65%); and one European badger, Meles meles (0.87%). This study provides further evidence of the occurrence of the canine heartworm, D. immitis, in Romania, expanding the known host spectrum, reports a new host species for this parasite, the European badger, and a new host for Europe, the raccoon dog.