A secure model for controlling the hubs in P2P wireless network based on trust value

Liu, Yuhua; Xiong, Naixue; Li, Yuling; Xu, Ke; Park, Jong Hyuk; Lin, Chuan

doi:10.1016/j.comcom.2010.01.028

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…After the difference operation with a period of 12 on dx t , a new sequence d ′ x t � D(x t , 1, 12) is obtained [28]. As shown in Figure 4, the 12th-order autocorrelation coefficient of the second-order difference sequence d ′ x t is close to 0, indicating that the periodic factor dx t is fully extracted [29][30][31]. An augmented Dickey-Fuller (ADF) test was performed on the second-order difference sequence d ′ x t , and the results are provided in Table 1.…”

Section: Sarima Modelmentioning

confidence: 91%

Forecast and Analysis of Coal Traffic in Daqin Railway Based on the SARIMA-Markov Model

Zhang

Liu

2020

Journal of Advanced Transportation

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With the continuous advancement of China’s supply-side structural reform, the country’s energy consumption structure has undergone considerable changes, including an overall reduction in fossil energy use and a rapid increase in clean energy application. In the context of China’s coal overcapacity, port and rail capacities are difficult to change in the short term. This study forecasts the monthly coal traffic of Daqin Railway on the basis of the seasonal autoregressive integrated moving-average Markov model and then uses the monthly coal transport data of this railway from September 2009 to November 2019 as samples for model training and verification. Coal traffic from December 2019 to September 2020 is accurately predicted. This study also analyzes the effects of China’s industrial structure adjustment, clean energy utilization, and low-carbon usage on the coal transport volume of Daqin Railway. In addition, the characteristics of seasonal fluctuation and the development trend of Daqin Railway’s coal traffic are explored. This study provides a reference for adjusting the train operation chart of Daqin Railway’s coal transport and developing a special coal train operation plan. It can determine the time of coal transport peak warning, improve the efficiency of coal transport management, and eventually realize a reasonable allocation of resources for Daqin Railway.

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Section: Sarima Modelmentioning

confidence: 91%

Forecast and Analysis of Coal Traffic in Daqin Railway Based on the SARIMA-Markov Model

Zhang

Liu

2020

Journal of Advanced Transportation

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“…Subsequently, Adul. Rah man and others set up an evaluation model of the trust degree based on distributed feedback informat ion [1][2][3]. After that, In accordance with the problems in trust description, many scholars put forward different trust management models under P2P environ ment with respective view [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

A Time Delay Trust Model in P2P Networks

Ji¹,

Liu²,

Zhao³

2011

AISS

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In this paper, a system for P2P networks with discrete time delay based on game theory presented. This system is proposed to describe evolution procedure of the credibility of various members in the P2P network . Through analyzing the stability of the system model based on the Lyapunov stability theory, the conditions for Hopf bi furcation and stability are obtained. Finally, some numerical examples are given to illustrate the behavior of the system with proposed model. The simulation results show that experimental results are consistent with theoretical analysis, which further verify the rationality of the model and the correctness of the stability analysis.

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Exploiting SIMD parallelism on dynamically partitioned parallel network coding for P2P systems

Kim

Park

2013

Computers & Electrical Engineering

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A secure model for controlling the hubs in P2P wireless network based on trust value

Cited by 3 publications

References 16 publications

Forecast and Analysis of Coal Traffic in Daqin Railway Based on the SARIMA-Markov Model

Forecast and Analysis of Coal Traffic in Daqin Railway Based on the SARIMA-Markov Model

A Time Delay Trust Model in P2P Networks

Exploiting SIMD parallelism on dynamically partitioned parallel network coding for P2P systems

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