Your Propagation Model of File-Sharing System in P2P Network

2011 ◽  
Vol 268-270 ◽  
pp. 1633-1636
Author(s):  
Yan Peng Wu ◽  
Hao Liu ◽  
Jun Cheng Lei
Keyword(s):  
Epidemic Model ◽  
Spatial Dynamics ◽  
File Sharing ◽  
Propagation Model ◽  
P2p Network ◽  
Simulation Results ◽  
File Sharing System

File-propagation and replication is a key problem of P2P Network. In this paper, epidemic model with spatial dynamics was adopted, and a file-propagation model of P2P network is proposed. In this model, most states of nodes are fully considered, and simultaneously, the behavior of propagation and replication in the file-sharing system in P2P network are researched and simulated. Final simulation results testify that the model accords with practice perfectly.

scholarly journals Globally Decoupled Reputations for Large Distributed Networks

2007 ◽  
Vol 2007 ◽  
pp. 1-14 ◽  
Author(s):  
Gayatri Swamynathan ◽  
Ben Y. Zhao ◽  
Kevin C. Almeroth ◽  
Haitao Zheng
Keyword(s):  
Social Control ◽  
File Sharing ◽  
Distributed Networks ◽  
Peer Networks ◽  
P2p Network ◽  
Reputation Systems ◽  
Alternative Mechanism ◽  
Peer To Peer Networks ◽  
File Sharing System ◽  
User Ratings

Reputation systems help establish social control in peer-to-peer networks. To be truly effective, however, a reputation system should counter attacks that compromise the reliability of user ratings. Existing reputation approaches either average a peer's lifetime ratings or account for rating credibility by weighing each piece of feedback by the reputation of its source. While these systems improve cooperation in a P2P network, they are extremely vulnerable to unfair ratings attacks. In this paper, we recommend that reputation systems decouple a peer'sservice providerreputation from itsservice recommenderreputation, thereby, making reputations more resistant to tampering. We propose a scalable approach to system-wide decoupled service and feedback reputations and demonstrate the effectiveness of our model against previous nondecoupled reputation approaches. Our results indicate that decoupled approache significantly improves reputation accuracy, resulting in more successful transactions. Furthermore, we demonstrate the effectiveness and scalability of our decoupled approach as compared to PeerTrust, an alternative mechanism proposed for decoupled reputations. Our results are compiled from comprehensive logs collected from Maze, a large file-sharing system with over 1.4 million users supporting searches on 226TB of data.

Dynamic Propagation Model of Blue-Tooth Virus on Smart Phones

2010 ◽  
Vol 121-122 ◽  
pp. 620-626 ◽  
Author(s):  
Xiao Yan Huang ◽  
Cong Jin ◽  
Song Lin Jin
Keyword(s):  
Epidemic Model ◽  
Spreading Rate ◽  
Malicious Code ◽  
Propagation Model ◽  
Smart Phones ◽  
Dynamic Propagation ◽  
Simulation Results ◽  
Development Tendency ◽  
Virus Spreading ◽  
Blue Tooth

According to blue-tooth viruses spread actuality, an epidemic model of blue-tooth phone virus is proposed in this paper. In this epidemic model, we proposed four basic statues to represent smart phones in different states. We also introduced some factors which can affect the basic trend of virus spreading, such as density of smart phones, length of malicious code and so on. But we mainly focused on parameter of spreading rate, and defined it as a variable which could change with time. At the end of this model, the simulation results showed the development tendency of this propagation model.

scholarly journals Spatial dynamics of a diffusive SIRI model with distinct dispersal rates and heterogeneous environment

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Lian Duan ◽  
Lihong Huang ◽  
Chuangxia Huang
Keyword(s):  
Steady State ◽  
Basic Reproduction Number ◽  
Epidemic Model ◽  
Reproduction Number ◽  
Spatial Dynamics ◽  
Heterogeneous Environment ◽  
Threshold Parameter ◽  
Dispersal Rate ◽  
Siri Model ◽  
The Basic Reproduction Number

<p style='text-indent:20px;'>In this paper, we are concerned with the dynamics of a diffusive SIRI epidemic model with heterogeneous parameters and distinct dispersal rates for the susceptible and infected individuals. We first establish the basic properties of solutions to the model, and then identify the basic reproduction number <inline-formula><tex-math id="M1">\begin{document}$ \mathscr{R}_{0} $\end{document}</tex-math></inline-formula> which serves as a threshold parameter that predicts whether epidemics will persist or become globally extinct. Moreover, we study the asymptotic profiles of the positive steady state as the dispersal rate of the susceptible or infected individuals approaches zero. Our analytical results reveal that the epidemics can be extinct by limiting the movement of the susceptible individuals, and the infected individuals concentrate on certain points in some circumstances when limiting their mobility.</p>

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