2004
DOI: 10.1142/s0217979204025452
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Controlling the Ultimate State of Projective Synchronization in Chaos: Application to Chaotic Encryption

Abstract: The ultimate state of projective synchronization is usually considered to be hardly controllable due to its close dependence on the initial conditions of both drive and response systems. In this letter, we show that the scaling factor of projective synchronization can be controlled to be proportional to a given scalar function with respect to time even without the knowledge of the initial conditions of response system. Further, we apply it to the chaotic encryption. Comparing with some existing implementations… Show more

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Cited by 13 publications
(12 citation statements)
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“…This method of recovering the unknown system parameters is applicable to cryptosystems that use the variable z(t) as the driving signal like those chaotic cryptosystems proposed in [13,14]. But it is not applicable to other two-channel cryptosystems driven by x(t) or y(t), like [12], because in those cases both conditional Lyapunov exponents are negative and the drive-response configuration is stable, in spite of being the drive and response parameters moderately different.…”
Section: Parameter Determination Of the Lorenz Systemmentioning
confidence: 99%
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“…This method of recovering the unknown system parameters is applicable to cryptosystems that use the variable z(t) as the driving signal like those chaotic cryptosystems proposed in [13,14]. But it is not applicable to other two-channel cryptosystems driven by x(t) or y(t), like [12], because in those cases both conditional Lyapunov exponents are negative and the drive-response configuration is stable, in spite of being the drive and response parameters moderately different.…”
Section: Parameter Determination Of the Lorenz Systemmentioning
confidence: 99%
“…Cryptanalysis of the two-channel chaotic cryptosystem [13] In a recent article [13], Wang and Bu proposed a new encryption scheme based on PS. Following [19], the state vector of a partially linear system of ordinary differential equations is broken in two parts (u, z).…”
Section: Accurate Parameter Determinationmentioning
confidence: 99%
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