Naslov
What Is Your MOVE: Modeling Adversarial Network Environments

Autori
Knezevic, Karlo ; Picek, Stjepan ; Jakobovic, Domagoj ; Hernandez-Castro, Julio

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Applications of Evolutionary Computation / - : Springer, 2020, 260-275

ISBN
978-3-030-43722-0

Skup
EvoStar: The Leading European Event on Bio‑Inspired Computation

Mjesto i datum
Online, 15.04.2020. - 17.04.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Coevolutionary algorithms ; Network security ; Attack/defense strategies

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA