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个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职：Director of Academic Committee at Kaifa District
其他任职：开发区校区学术分委员会主任（Director of Academic Committee at Kaifa Campus）
性别：男
毕业院校：多伦多大学
学位：博士
所在单位：软件学院、国际信息与软件学院
学科：软件工程. 运筹学与控制论
办公地点：开发区（Kaifa District Campus）
联系方式：mingchul@dlut.edu.cn
电子邮箱：mingchul@dlut.edu.cn
Tradeoff gain and loss optimization against man-in-the-middle attacks based on game theoretic model
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论文类型：期刊论文
发表时间：2019-12-01
发表刊物：FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
收录刊物：SCIE、EI
卷号：101
页面范围：169-179
ISSN号：0167-739X
关键字：Game theory; Pareto theory; Man-in-the-middle attacks; Cybersecurity; Artificial intelligence
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.