Tradeoff gain and loss optimization against man-in-the-middle attacks based on game theoretic model

摘要

A successful man-in-the-middle (MITM) attack can result in significant financial loss and affect the cyber security of an organization. In this paper, we use a defender vs. multi-attacker Stackelberg game to model MITM attacks. We then propose an effective approach to compute the optimal defender strategy, based on a multi-double oracle algorithm. Finally, we quantify the gain and loss, based on the given noise packet insertion by calculating the Pareto optimal (non-dominated) solutions. We also demonstrate that our scheme achieves scalability and outperforms other non-strategy defense methods, based on findings from the simulations. (C) 2019 Elsevier B.V. All rights reserved.