Bilevel optimization is a field of mathematical programming in which some variables are
constrained to be the solution of another optimization problem. As a consequence, bilevel …

In this article, we review the literature which proposes attacker-defender games to protect
against strategic adversarial threats. More specifically, we follow the systematic literature …

Nowadays, IoT systems can better satisfy the service requirements of users with effectively
utilizing edge computing resources. Designing an appropriate pricing scheme is critical for …

One of the most frequently used approaches to solve linear bilevel optimization problems
consists in replacing the lower-level problem with its Karush–Kuhn–Tucker (KKT) conditions …

A decision support system for cyber-security is here presented. The system aims to select an
optimal portfolio of security controls to counteract multi-stage attacks. The system has …

Energy management algorithms of microgrids have attracted growing attention for the
efficient operation and coordination of active end-users. In developing these algorithms …

In this paper, we propose a novel approach for data-driven decision-making under
uncertainty in the presence of contextual information. Given a finite collection of …

Protecting critical infrastructure from intentional damage requires foreseeing the strategies of
possible attackers. We formulate this problem as a Stackelberg Security Game. A defender …

In many practical applications, such as poker, chess, drug interdiction, cybersecurity, and
national defense, players often have adversarial stances, ie, the selfish actions of each …

To strengthen border patrol measures, unmanned aerial vehicles (UAVs) are gradually used
in many countries to detect illegal entries on borders. However, how to efficiently deploy …