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Keywords
(11)
Evolutionary Dynamics
Evolutionary Game Theory
Finite Population
Information Seeking
Network Structure
Oscillations
P2P
P2p System
Population Cycles
Social Control
Nash Equilibrium
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P2P soft security: On evolutionary dynamics of P2P incentive mechanism
P2P soft security: On evolutionary dynamics of P2P incentive mechanism,10.1016/j.comcom.2010.01.021,Computer Communications,Yufeng Wang,Akihiro Nakao,
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P2P soft security: On evolutionary dynamics of P2P incentive mechanism
(
Citations: 6
)
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Yufeng Wang
,
Akihiro Nakao
,
Athanasios V. Vasilakos
,
Jianhua Ma
This paper thoroughly investigates the
evolutionary dynamics
of soft security mechanism, namely, reciprocity-based incentive mechanism, in
P2P
systems based on
Evolutionary Game Theory
(EGT). By soft security mechanism, it means
social control
mechanisms to overcome peers’ selfish (rational) behaviors, and encourage cooperation in
P2P
systems. Specifically, there exist three strategies in
P2P
systems: always cooperative (ALLC), always defect (ALLD) and reciprocator (R). Instead of existing work which take it for granted that, like ALLC users, R users did not bear any information-seeking cost, we assume small reciprocation cost, and study generalized mutation-selection dynamics. Our contributions are threefold: firstly, we prove and illustrate that, in a well-mixed
P2P
structure, ALLD is the only strict Nash equilibrium; secondly, we infer the specific condition under which evolution dynamics exhibits rock-scissors-paper oscillation in a structured
P2P
population. That is, the
population cycles
from ALLD to R to ALLC and back to ALLD; finally, we theoretically illustrate that the intensity of selection plays an important role in the
evolutionary dynamics
of
P2P
incentive mechanism. That is, when the intensity of selection is relatively weak and reciprocation cost limits to zero, the time average can be mostly concentrated on reciprocator. In brief, considering the existence of reciprocation cost and the small mutation in
P2P
incentive mechanisms, unlike existing work, it is impossible to simply achieve the “absolute cooperative” in
P2P
incentive mechanisms. On the other hand, stochastic evolution in
P2P
incentive mechanism with
finite population
and
network structure
still favor reciprocation.
Journal:
Computer Communications - COMCOM
, vol. 34, no. 3, pp. 241-249, 2011
DOI:
10.1016/j.comcom.2010.01.021
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Citation Context
(2)
...The evolutionary game-dynamic approaches have been applied in IEEE 802.16 [38] and in wireless mesh networks [39], resource pricing [40], P2P soft-security incentive mechanism [
41
], access control [42], [43], hybrid rate control [44], and power control [45]...
Hamidou Tembine
.
Dynamic Robust Games in MIMO Systems
...In order to solve several weakpoints in the above work, our previous work [
10
] thoroughly investigated the evolutionary dynamics of soft security mechanism, namely, reciprocity-based incentive mechanism, in P2P systems based on EGT...
Yufeng Wang
,
et al.
Punishment or Reward: It Is a Problem in Anonymous, Dynamic and Autono...
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Citations
(6)
Overview of Modeling and Analysis of Incentive Mechanisms Based on Evolutionary Game Theory in Autonomous Networks
Yufeng Wang
,
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,
Athanasios V. Vasilakos
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Jianhua Ma
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, 2011
Dynamic Robust Games in MIMO Systems
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