What Is Your MOVE: Modeling Adversarial Network Environments (CROSBI ID 691977)
Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Knezevic, Karlo ; Picek, Stjepan ; Jakobovic, Domagoj ; Hernandez-Castro, Julio
engleski
What Is Your MOVE: Modeling Adversarial Network Environments
Finding optimal adversarial dynamics between defenders and attackers in large network systems is a complex problem one can approach from several perspectives. The results obtained are often not satisfactory since they either concentrate on only one party or run very simplified scenarios that are hard to correlate with realistic settings. To truly find which are the most robust defensive strategies, the adaptive attacker ecosystem must be given as many degrees of freedom as possible, to model real attacking scenarios accurately. We propose a coevolutionary-based simulator called MOVE that can evolve both attack and defense strategies. To test it, we investigate several different but realistic scenarios, taking into account features such as network topology and possible applications in the network. The results show that the evolved strategies far surpass randomly generated strategies. Finally, the evolved strategies can help us to reach some more general conclusions for both attacker and defender sides.
Coevolutionary algorithms ; Network security ; Attack/defense strategies
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Podaci o prilogu
260-275.
2020.
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objavljeno
10.1007/978-3-030-43722-0_17
Podaci o matičnoj publikaciji
Lecture notes in computer science
Springer
978-3-030-43722-0
0302-9743
Podaci o skupu
EvoStar: The Leading European Event on Bio‑Inspired Computation
predavanje
15.04.2020-17.04.2020
online