2013
DOI: 10.1016/j.ins.2013.06.027
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A rational framework for secure communication

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Cited by 7 publications
(3 citation statements)
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“…Then, they designed a credible punishment mechanism [12] in rational secret sharing based on the extensive game. By introducing rational communication players, Tian et al [13] proposed a formal framework to solve the problem of interaction among distrusted players. Then, they studied the utility function of rational players, and presented a new rational secret sharing scheme [14] based on Bayesian game.…”
Section: Related Workmentioning
confidence: 99%
“…Then, they designed a credible punishment mechanism [12] in rational secret sharing based on the extensive game. By introducing rational communication players, Tian et al [13] proposed a formal framework to solve the problem of interaction among distrusted players. Then, they studied the utility function of rational players, and presented a new rational secret sharing scheme [14] based on Bayesian game.…”
Section: Related Workmentioning
confidence: 99%
“…Then, in standard communication networks, they presented information-theoretic secure rational secret sharing scheme [14]. Tian et al [15] reviewed the classical secure communication issues, which are always described as a set of interactive rules following a specified sequence in the perspective of game theory. By introducing rational communication participants, they model the secure communication process in the manner of game theory to capture the interactions of distrusted communication parties.…”
Section: Related Workmentioning
confidence: 99%
“…However, with making greater progress of Internet and hardware facilities, people feel desirable for higher bandwidth services. Unicast or broadcast doesn't seem to produce remarkable economic efficiencies which can achieve the development of multicasting [3,[9][10][11]18]. By means of multicasting, one source of sender can transmit the data to many receivers, abating not only the burden of network but also the loading of transmitters, and thereby we contribute a great number of advantages to this multicasting model.…”
Section: Introductionmentioning
confidence: 99%