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The COVID-19 pandemic has led to an economic downturn in the Slovak Republic. To bridge corporate liquidity problems the Slovakian Government has introduced several support measures. The investigation discusses the effectiveness of the measures imposed. Based on theoretical foundations, the research question is empirically examined by using a qualitative expert survey. As the automotive industry plays a leading role in Slovakia, the research conducted is oriented towards the financing phases, a typical automotive exporter is undergoing. As a result of the research, bridging loans and government grants were identified as the most important measures. Additionally, tendencies towards political recommendations for action were identified. The research explored, that the Slovakian Government should focus on meeting the short-term liquidity needs, boosting exports and promoting innovation as well as considering a support package for the automotive industry.
In the field of network security, the detection of intrusions is an important task to prevent and analyse attacks.
In recent years, an increasing number of works have been published on this subject, which perform this detection based on machine learning techniques.
Thereby not only the well-studied detection of intrusions, but also the real-time capability must be considered.
This thesis addresses the real-time functionality of machine learning based network intrusion detection.
For this purpose we introduce the network feature generator library PyNetFlowGen, which is designed to allow real-time processing of network data.
This library generates 83 statistical features based on reassembled data flows.
The introduced performant Cython implementation allows processing individual packets within 4.58 microseconds.
Based on the generated features, machine learning models were examined with regard to their runtime and real-time capabilities.
The selected Decision-Tree-Classifier model created in Python was further optimised by transpiling it into C-Code, what reduced the prediction time of a single sample to 3.96 microseconds on average.
Based on the feature generator and the machine learning model, an basic IDS system was implemented, which allows a data throughput between 63.7 Mbit/s and 2.5 Gbit/s.
Annotated training data is essential for supervised learning methods. Human annotation is costly and laborsome especially if a dataset consists of hundreds of thousands of samples and annotators need to be hired. Crowdsourcing emerged as a solution that makes it easier to get access to large amounts of human annotators. Introducing paid external annotators however introduces malevolent annotations, both intentional and unintentional. Both forms of malevolent annotations have negative effects on further usage of the data and can be summarized as spam. This work explores different approaches to post-hoc detection of spamming users and which kinds of spam can be detected by them. A manual annotation checking process resulted in the creation of a small user spam dataset which is used in this thesis. Finally an outlook for future improvements of these approaches will be made.
The status quo of PROFINET, a commonly used industrial Ethernet standard, provides no inherent security in its communication protocols. In this thesis an approach for protecting real-time PROFINET RTC messages against spoofing, tampering and optionally information disclosure is specified and implemented into a real-world prototype setup. Therefor authenticated encryption is used, which relies on symmetric cipher schemes. In addition a procedure to update the used symmetric encryption key in a bumpless manner, e.g. without interrupting the real-time communication, is introduced and realized.
The concept for protecting the PROFINET RTC messages was developed in collaboration with a task group within the security working group of PROFINET International. The author of this thesis has also been part of that task group. This thesis contributes by proofing the practicability of the concept in a real-world prototype setup, which consists of three FPGA-based development boards that communicate with each other to showcase bumpless key updates.
To enable a bumpless key update without disturbing the deterministic real-time traffic by dedicated messages, the key update annunciation and status is embedded into the header. By provisioning two key slots, of which only one is in used, while the other is being prepared, a well-synchronized coordinated switch between the receiver and the sender performs the key update.
The developed prototype setup allows to test the concept and builds the foundation for further research and implementation activities, e.g. the impact of cryptographic operations onto the processing time.
The research paper provides important findings about the development, difficulties and perception of the support measures for exporters introduced by the Austrian government in times of COVID-19 crisis. Based on a literature review using secondary data, eight qualitative interviews were conducted with experts from the Austrian economy and government, among them the Austrian ECA ‘Oesterreichische Kontrollbank AG’. To balance the effects of the COVID-19 pandemic on the Austrian economy, a broad coverage with financing instruments for a wide range of target groups was established. Although the support measures have been well received by companies, insolvencies cannot completely be prevented. Nevertheless, the actual effects are not yet predictable and need to be assessed in further research at a later point in time.
The COVID-19 pandemic has been spreading rapidly across the globe and has seriously affected global trade. In order to reduce the pandemic’s impact on their economy, the French government released a support plan referring to the COVID-19 crisis. Since mid-tier companies play a leading role in France’s export, this paper deals with the measures taken by the French government to support especially French mid-tier export companies. Based on empirical literature and recent publications, the research question is analyzed by conducting interviews with experts, such as market participants, governmental institutions and an expert for trade and innovation. As a result of the research, the emergency measures taken by the French government, such as the CAP Francexport reinsurance scheme, the extension of cover for export guarantees, additional information and assistance, and the deferral of tax and social security contributions have mitigated the effects at first instance.
The COVID-19 pandemic has the global economy under control. This paper deals with the economic consequences in Germany and shows the measures taken by the German government to support especially small and medium-sized export companies. The structure of the German economy and foreign trade promotion are explained as a basis. After considering the government's support measures, an evaluation of country comparisons shows that there is still potential for further measures, especially in direct lending and debt moratorium. The analysis is based on quantitative data from surveys and qualitative results from interviews with relevant ministries and market participants as well as recent publications.
This thesis deals with the creation of a cross-platform application using Xamarin.Forms. The cross-platform application will cover three different platforms android, iOS, and UWP.
The application is the first concept of a possible feature for a companion application for LS telcom. There, the user can identify cell antennas using a map-view and a camera-view making the application an augmented reality application. Thus, the user can search for a specific cell and access various information that he would not be able to see with his eyes like for example the frequency of the transmitting cells.
The cell data is generated from three different sources, Cartoradio, OpenCelliD, and the LS telcom databrowser. Eventually, the decision was taken, that the main source should be the LS telcom databrowser which has multiple advantages over the other cell sources.
The cells on the map-view are placed using the extracted coordinates from the source data. However, the cells on the camera-view are placed with complex calculations using different formulas like the Haversine formula to calculate the distance between the cell and the user and the bearing to calculate the angle between the cell and the user. Various settings will allow the user to personalize the application according to his wishes.
If the current situation could be described in one word, it would be ‘uncertainty’. In times of global crisis, it is important to support the economy to keep businesses alive. Therefore, this paper shows the Finnish government measures and how exporters can benefit from them. Looking in particular at the maritime sector, the research pointed out that there were not that many specific measures for exporters and shipbuilders. This essay detected that the provided measures are suitable for the needs of the affected companies and are an effective instrument by the government to stabilise the industry. This is proved by the number of companies taking advantage of these loans, grants and guarantees. Due to the already mentioned uncertainty, it remains unclear how measures have to be adjusted in the future.
The aim of this essay is to analyse and evaluate the Italian government measures for exporters in response to COVID-19. The unexpected, rapid and hardly predictable consequences of the pandemic paralyzed the entire globe. For a long time, Italy was the epicentre of the virus, which caused severe damage in the Italian export economy dropping temporarily more than 40%. The Italian government reacted exemplary fast and took multiple countermeasures of high extent especially through the Italian export credit agency SACE. On the one hand, the internationally compared broad structure of SACE was a huge advantage, which allowed to release quickly numerous measures. On the other hand, there is room for improvement regarding the accessibility of measure-related information, which has been partially only available in Italian. Furthermore, there is a remarkable risk resulting from the combination of the high monetary effort to enable the numerous measures, the difficult financial situation of the Italian government and the unpredictability of the COVID-19 consequences.