CYBERSENSE II

In recent years, there has been a significant increase in the number of comprehensive cyberattacks using both known methods such as DDoS and complex APT attacks. This affects not only the economy and the civilian population, but also government institutions. The BMLV in particular is an attractive target due to its defense role.

In order to counter this and develop effective countermeasures, it is essential to achieve cyber situational awareness. This can be achieved by creating a comprehensive and holistic cyber situation picture. Such a situation picture must be useful for all organizational levels of the BMLV and ÖBH and requires seamless cooperation between technical experts and managers, as well as the use of efficient communication and information exchange mechanisms.

The CYBERSENSE project aims to identify possible applications of AI methods to support the generation of cyber situation pictures. This should enable fragmented and unconnected data sources to be processed efficiently, providing a more comprehensive view of the information available. This approach aims to reduce the time required, minimize the potential for errors, and improve responsiveness. In addition, a thorough investigation of novel natural language processing (NLP) methods is being conducted to tap into heterogeneous data sources. The goal is to link manual and isolated cyber situation picture creation processes, close information gaps, reduce inefficiencies, and minimize communication problems. Furthermore, the project aims to push the boundaries of automation in the creation of cyber situation visualization. The goal is to develop an interactive display tailored to the different levels, which improves user-friendliness and makes connections more clearly visible. Automation will also increase the timeliness and scalability of cyber situation picture representations to enable more dynamic and adaptable visualizations. As a connecting element, the development of a uniform taxonomy and specific indicators for cyber incidents is planned. This measure aims to minimize misinterpretations and overcome communication barriers between different organizational units. In addition, the concepts and processes developed in the CYBERSENSE project will be subjected to systematic validation under realistic conditions. Another key aspect of the project is to examine the ethical implications of using artificial intelligence in the process of generating cyber situation pictures, particularly in a military context, to ensure that AI is used responsibly and in accordance with ethical principles.