The PhD project tackles runtime detection of cyber attacks. It combines security by design with runtime security checking by using design models for runtime attack detection. Model2Defend proposes research on: (i) graphical design languages with a trace semantics to express security models, and (ii) an attack detector that uses those models and machine learning (ML). Model2Defend aims to give security analysts the means to: (i) security analyse systems at design-time, (ii) represent knowledge about possibly ongoing security threats and (iii) actively defend against threats and attacks.
Duration: 36 Months
Deadline to Apply: 19 January 2020
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