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

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Indexed by:期刊论文

Date of Publication:2019-12-01

Journal:FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE

Included Journals:SCIE、EI

Volume:101

Page Number:169-179

ISSN No.:0167-739X

Key Words:Game theory; Pareto theory; Man-in-the-middle attacks; Cybersecurity; Artificial intelligence

Abstract: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.

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