Graph-based models in prediction and projection of cyber attacks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F20%3A00115565" target="_blank" >RIV/00216224:14610/20:00115565 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Graph-based models in prediction and projection of cyber attacks
Original language description
Predictive analysis allows next-generation cyber defense that is more proactive than current approaches based solely on intrusion detection. In this talk, we will discuss various approaches to predicting and projecting cyber attacks. Graph-based models are dominating the field since the foundation of this research area. Attack graphs were used to traverse through the attacker’s actions and project the continuation of an ongoing attack. Later, attack graphs were combined with Bayesian networks and Markov models to reflect the probabilistic nature of predictions and overcome uncertainties in observation of attack steps. However, there are still open issues, such as how to create such models and evaluate the predictions. The talk will shed light on using graphs in this research area and summarize resolved and open issues.
Czech name
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Czech description
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Project
<a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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