Suchergebnisse

In recent decades, Information and Communication Technologies (ICT) have significantly evolved, further establishing the information society. However, ICT systems are subject to security incidents, and most malicious attacks have cascading effects. Decision-makers need to understand the potential financial effects of incidents if they wish to clearly perceive the potential risks and thus make an appropriate allocation of resources to ICT security.Our research attempts to develop a comprehensive toolset for the analysis of cybersecurity incidents. The toolset is based on conventional methodologies of cash-flow evaluation and balance of payments. We discuss several use cases of real-world examples with incidents affecting essential service providers and manufacturers. The case studies involve incidents affecting energy service providers, banks, water utilities, aircraft manufacturers, car manufacturers, IT software providers, air, rail, and water transport companies, the pharmacy, and the health sector. Analysis of the incidents involves our framework being applied at three levels: organisational, governmental, and international.

The complex relationships of economic actors and the high dependency on information and communication technologies make it necessary for all relevant entities to develop protection. This protection should include preventive and reactive controls in a risk-proportionate manner in relation to the business value protected. We aimed to develop a solution to support cybersecurity-related business decisions with financial analytics. The risk-based approach helps management find the optimum solution with minimal costs, where protection prevents some incidents from occurring, while the risks associated with other incidents are accepted in an informed way. The security industry developed a number of apparatuses to find the optimum security controls that enforced the fiscal aspects, which typically contain solutions used in planning. However, the actual expenditure often differs from the planned budget for several reasons, one of which is
the occurrence of security incidents. We used the common methodology toolset for financial analysis (NPV, NFV, risk assessment). We developed novel metrics based on these that can be used in cybersecurity management. Within the framework thus defined, the article discusses the economic context of the effects of incidents involving Meta (previously Facebook) services from 2016 to 2020. This paper introduces the 'Effect of incidents' metric to measure the impact of unplanned incidents' on actual expenditure compared to the planned budget and the 'Incidence of incident recognition' metric to measure deviations of an incident's impact as perceived by owners relative to the effect on the value of the assets. The paper also proves the applicability of those metrics using the example of Meta.

Computer networks are usually modelled from one aspect, e.g., the physical layer of the network, although this does not allow the
researcher to understand all usage of that device. We aim to develop a model which leverages all aspects of a networked computer and,
therefore, provides complete information to the scientist for all further security research, especially that related to the social sciences.
Network science is about the analysis of any network, from social to protein. It is much easier to analyse computer networks with
technical tools than protein networks. It is, therefore, a straightforward way to crawl the web as Albert-Laszlo Barabasi did to model
its connections, nodes, and links in graph theory to analyse its internal connections. His analysis was based solely on the network layer.
Our methodology uses graph theory and network science and integrates all ISO/OSI (computer networking) layers into the model.
Each layer of the ISO/OSI model has its topology separately, but all of them also work as part of the complex system to operate the
network. It therefore creates a multipartite graph of the network under analysis. Furthermore, the virtual private networks (VPNs)
and application usage are also integrated as nodes and links. With this model, the computer network infrastructure and usage data can
be used for further non-computing related research, e.g., social science research, as it includes the usage patterns of the network users.

Botnets, the remotely controlled networks of computers with malicious aims, have significantly affected the international order from Ukraine to the United States in recent years. Disruptive software, such as malware, ransomware, and disruptive services, provided by those botnets has many specific effects and properties. Therefore, it is paramount to improve the defences against them. To tackle botnets more or less successfully, one should analyse their code, communication, kill chain, and similar technical properties. However, according to the Business Model for Information Security, besides technological attributes, there is also a human and organisational aspect to their capabilities and behaviour. This paper aims to identify the aspects of different attacks and present an analysis framework to identify botnets' technological and human attributes. After researching the literature and evaluating our previous findings in this research project, we formed a unified framework for the human-organisational classification of botnets. We tested the defined framework on five botnet attacks, presenting them as case studies. The chosen botnets were ElectrumDoSMiner, Emotet, Gamover Zeus, Mirai, and VPNFilter. The focus of the comparison was motivation, the applied business model, willingness to cooperate, capabilities, and the attack source. For defending entities, reaching the target state of defending capabilities is impossible with a one-time development due to cyberspace's dynamic behaviour and botnets. Therefore, one has to develop cyberdefence and conduct threat intelligence on botnets using such methodology as that presented in this paper. This framework comprises people and technological attributes according to the BMIS model, providing the defender with a standard way of classification.