Titlebook: Decision and Game Theory for Security; 11th International C Quanyan Zhu,John S. Baras,Juntao Chen Conference proceedings 2020 Springer Natu

Resistance

municipality

Andrew Colin,Roger Willett,Peter Lambrineasin use. A key problem of using obfuscation methods is to determine an appropriate algorithm that introduces minimal changes but preserves the functionality of the protocol. We apply Adversarial Machine Learning techniques to find realistic small perturbations that can improve the security and privac

FLEET

https://doi.org/10.1007/978-1-84996-178-3e then present the behavior of an adaptive attacker in a Markov Decision Process (MDP) simulation. Lastly, we relate our analytic and empirical findings to cognitive bias effects and speculate on how the manipulation of game parameters may be used in future work to both estimate and trigger bias eff

dura-mater

Ana C. V. Vieira,António J. Marques Cardosoation is NP-hard even in the zero-sum case. We provide an MILP formulation for the general problem with constraints on cost and feasibility, along with a pseudo-polynomial time algorithm for the special . setting. Second, for risk-averse attackers, we present a solution based on Prospect theoretic m

实现

你正派

Schriftenreihe des Strafvollzugsarchivste information about decoy locations. Then, we investigate how to place decoys to maximize the defender’s deceptive winning region. Considering the large search space for all possible decoy allocation strategies, we incorporate the idea of compositional synthesis from formal methods and show that th

纵火

增强

反复无常

Moving Target Defense for Robust Monitoring of Electric Grid Transformers in Adversarial Environment

TRAWL