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  1. 81

    Improving replicator dynamic evolutionary game model for selecting optimal defense strategies by Jianming HUANG, Hengwei ZHANG

    Published 2018-01-01
    “…In terms of the existence of strategy dependency in the same game group,network attack-defense evolutionary game model based on the improved replicator dynamics was constricted by introducing the intensity coefficient,which completed the method of calculating replicator dynamic rate.The improved replicator dynamic equation was adopted to solve the evolutionary equilibrium for the situation that both attack and defense have two optional strategies.The stability of the equilibrium points was analyzed by the local stability analysis method of Jacobian matrix,and the optimal defense strategies were obtained under different conditions.The results show that the strategy dependency between the players in the same group has a certain influence on the evolution of the game,both the incentive and the inhibition.Finally,the accuracy and validity of the model and method are verified by the experimental simulation,which provides a new theoretical support for solving the information security problems in the real.…”
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  2. 82

    WSN malware infection model based on cellular automaton and static Bayesian game by Hong ZHANG, Shigen SHEN, Xiaojun WU, Qiying CAO

    Published 2019-06-01
    “…The theoretical model for the malware infection in wireless sensor networks (WSN) based on cellular automaton and static Bayesian game was studied.Firstly,the malware infection model of WSN based on cellular automaton was built.Secondly,the malware infection dynamics in WSN was predicted based on the static Bayesian game,through which malware and WSN systems would determine their optimal actions by Bayesian Nash equilibrium (BEN).Then the BEN was applied to the malware infection model to study the spatiotemporal dynamics characteristics of malware infection.Research results show that the proposed model can effectively predict the infection dynamics propagation process of malware in WSN,and the evolution trend of sensor nodes in various states with time,which are of significance for people to formulate measures to reduce the propagation speed of malware.…”
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  3. 83

    Detecting and Mitigating Smart Insider Jamming Attacks in MANETs Using Reputation-Based Coalition Game by Ashraf Al Sharah, Taiwo Oyedare, Sachin Shetty

    Published 2016-01-01
    “…Security in mobile ad hoc networks (MANETs) is challenging due to the ability of adversaries to gather necessary intelligence to launch insider jamming attacks. …”
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  4. 84

    A game theory-assisted machine learning methodology for subscriber churn behaviors detection by Ye OUYANG, Aidong YANG, Fanyu MENG

    Published 2020-06-01
    “…At the end of November 2019,China officially implemented the number portability policy (MNP) that has been in trial for 9 years.The policy will strengthen the liquidity and competitiveness of the telecommunication market,making the problem of subscriber churn more prominent.A game theory-assisted machine learning methodology was proposed,verified and commercialized timely,which could help mobile network operator (MNO) actively respond to competition in the MNP market.The proposed methodology provides MNO with a machine learning model to detect subscriber portability and give differentiated treatment.Experimental results show that the proposed methodology can guide MNOs to make a targeted MNP strategy,and precisely identify “abnormal” subscribers who tend to churn-out and potential new subscribers who may churn-in.In addition,the proposed methodology has been successfully commercialized,greatly improving the marketing efficiency of operators,increasing user satisfaction,and reducing the loss of users by about 50% for a tier-1 MNO in China.…”
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  5. 85

    Renewable Energy Consumption Strategies for Electric Vehicle Aggregators Based on a Two-Layer Game by Xiu Ji, Mingge Li, Zheyu Yue, Haifeng Zhang, Yizhu Wang

    Published 2024-12-01
    “…For the complexity of large-scale scheduling, this paper introduces the A2C (Advantage Actor-Critic) reinforcement learning algorithm, which combines the value network and the strategy network synergistically to optimize the real-time scheduling process. …”
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  6. 86
  7. 87

    Effects of Informal Contracts on Innovative Cooperation among Enterprises in Industrial Clusters: An Evolutionary Game Analysis by Ying Han, Guohong Chen, Elena Poh

    Published 2018-01-01
    “…Furthermore, by using MATLAB software to simulate the model, this paper verifies the accuracy and reliability of the game model. Results show that, in addition to the formal market contract, effective implementations of cluster informal contracts can reduce opportunistic behavior in innovative cooperation among internal and external enterprises. …”
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  8. 88

    Cooperative game scheduling and revenue sharing strategy for virtual power plants considering scenery uncertainty by SONG Duoyang, XUE Tianliang, LI Yipu, TU Jintong, BI Yuhao, WANG Mankang

    Published 2025-01-01
    “…Based on this, a cooperative game scheduling model is proposed for multi-type distributed energy sources aggregated in a virtual power plant under the day-ahead power market. …”
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  9. 89

    A Game Theory Approach for Supply Chain Coordination Model with Incentive Mechanisms of Discount and Delay in Payments by Mohammad Ferdousmakan, Roya M. Ahari, Mohammadreza Vasili, Majid Vaziri Sarashk

    Published 2023-01-01
    “…Results show that the coordination model outperforms others by reducing the network’s costs and increasing profits simultaneously.…”
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  10. 90

    Evolutionary Game Theory-Based Evaluation of P2P File-Sharing Systems in Heterogeneous Environments by Yusuke Matsuda, Masahiro Sasabe, Tetsuya Takine

    Published 2010-01-01
    “…In addition, users have different degrees of cooperativity in file caching and they are in different surrounding environments arising from the topological structure of P2P networks. With evolutionary game theory, this paper evaluates the performance of P2P file sharing systems in such heterogeneous environments. …”
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  11. 91

    Collaborative Cognitive Wireless Network Optimization Model and Network Parameter Optimization Algorithm by Tao Zhang

    Published 2023-01-01
    “…Such cognitive radio networks that use user collaboration to improve channel capacity and spectrum utilization are called collaborative cognitive radio networks. …”
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  12. 92

    Evolutionary Game Analysis of Promoting Industrial Internet Platforms to Empower Manufacturing SMEs through Value Cocreation Cooperation by Dongdong Li, Chunfa Li, Runde Gu

    Published 2021-01-01
    “…Moreover, the platform network externality, customer churn risk, and cost-sharing ratio have different influences on the process of reaching evolutionary equilibrium in the system. …”
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  13. 93

    Event-Trigger Reinforcement Learning-Based Coordinate Control of Modular Unmanned System via Nonzero-Sum Game by Yebao Liu, Tianjiao An, Jianguo Chen, Luyang Zhong, Yuhan Qian

    Published 2025-01-01
    “…The ET-critic neural network (NN) is used to approximate the performance index function, thus obtaining the ETRL coordinate control policy. …”
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  14. 94

    Explore the Conflict and Resolution of Pollution NIMBY Facility Construction in the Context of New Media: An Evolutionary Game Theoretical Approach by Jie Yu, Changzheng Zhang, Dechun Huang, Yujia Shao, Hong Ren

    Published 2021-01-01
    “…The results show that the local government adopts a certain degree of regulatory strategy for the new media, the new media adopts the strategy of publicizing facts, and the local people adopts the strategy of nonresistance, which are the stable strategy points of the evolutionary game among the three stakeholders in the NIMBY conflict. …”
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  15. 95

    Super group peer selection algorithm in hybrid layered P2P streaming system based on evolutionary game by Jing CHEN, Bing ZHOU, Chen-shan REN, Xiao-she DONG

    Published 2013-12-01
    “…Due to high efficiency and good scalability,hybrid layered P2P architecture receives more and more impor-tance in P2P research and P2P streaming application fields recently.The blems about super peers selection are highly challenging because super peers must be selected from huge and dynamically changing network.A distributed super group peer(SGP) selection algorithm based on evolutionary game is proposed in this paper,in hich the SGP selection procedure is modeled based on evolutionary game framework firstly and its evolutionarily Moreover,a distributed Q-Learning algorithm (ESS-SGP) according to the mixed strategies by analysis is proposed for the peers to converge to the ESSs based on their own payoff history.Compared to the traditional random selected SGP P2P schemes,experiments results show that the proposed ESS-SGP algorithm achieves much better performance in terms of social welfare,average upload rate of SGPs,and keeps the upload capacity of the P2P streaming system increasing steadily with the number of peers increasing.…”
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  16. 96

    Jogos, sociabilidade e conflito no Brasil by Édison Gastaldo, Everardo Rocha, Adriana Braga

    Published 2016-01-01
    “…In social theory, the participation in games and competitions usually highlights their symbolic, ritual and communicational aspects, as well as their links to wider sociability networks. …”
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  17. 97

    Moving target defense against adversarial attacks by Bin WANG, Liang CHEN, Yaguan QIAN, Yankai GUO, Qiqi SHAO, Jiamin WANG

    Published 2021-02-01
    “…Deep neural network has been successfully applied to image classification, but recent research work shows that deep neural network is vulnerable to adversarial attacks.A moving target defense method was proposed by means of dynamic switching model with a Bayes-Stackelberg game strategy, which could prevent an attacker from continuously obtaining consistent information and thus blocked its construction of adversarial examples.To improve the defense effect of the proposed method, the gradient consistency among the member models was taken as a measure to construct a new loss function in training for improving the difference among the member models.Experimental results show that the proposed method can improve the moving target defense performance of the image classification system and significantly reduce the attack success rate against the adversarial examples.…”
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  18. 98

    VCG with Communities on Random Ad Hoc Networks by Gunes Ercal, Rafit Izhak-Ratzin, Rupak Majumdar, Adam Meyerson

    Published 2011-05-01
    “…We study game-theoretic mechanisms for routing in wireless ad hoc networks. …”
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  19. 99

    Evolution of Equity Norms in Small-World Networks by José I. Santos, David J. Poza, José M. Galán, Adolfo López-Paredes

    Published 2012-01-01
    “…The model considers a fixed and finite population of agents who play the Nash bargaining game repeatedly. Our results show that regular networks promote the emergence of the equity norm, while less-structured networks make possible the appearance of fractious regimes. …”
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  20. 100

    Prediction of Network Threats and Attacks by Mathematical Simulation by Daniil Doroshenko

    Published 2024-11-01
    “…The research uses mathematical methods such as probability theory, game theory, graph models, and statistical approaches to build models that allow to reproduce the dynamics of threats in real networks. …”
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