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The Design And Research On Quantum Information Hiding Algorithm Based On Quantum Multimedia

Posted on:2019-04-12Degree:MasterType:Thesis
Country:ChinaCandidate:H X HeFull Text:PDF
GTID:2370330545965200Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
With the development of quantum information processing in recent years,quantum information technology is opening the door of revolutionary opportunity with quantum secure communication technology.It is particularly worth mentioning that quantum information hiding has also been introduced into one of more innovative research field.Quantum information hiding can be divided into into two categories.One is that realizes covert communication based on single-particle or multi-paricle quantum states by making full use of their physical characteristics.The other category is quantum information hiding based on quantum multi-media with different quantum representations.Compared with classic information hiding,the security and imperceptibility of quantum information are protected by the principles and properties of quantum mechanics.Therefore,quantum information hiding has both theoretical significant and practical application scenarios.Reviewing the existing achievements,we propose a quantum steganography and quantum watermark algorithm based on quantum multi-media with different quantum representations respectively in this paper.So,the main research of this paper is presented as follows:Firstly,Based on a novel enhanced quantum representation(NEQR)model,we proposed a novel self-adaptive quantum steganography algorithm based on quantum image with watermark.The new algorithm mainly focus on the robustness of the secret information,and the watermark is regarded as the carrier to realize the covert communication on the basis of the good robustness of the watermark,which makes the embedded secret information also inherit a good robustness.Secondly,the secret information is divided into two parts with equal length.and the sender substitutes the least significant bit of quantum carrier image and quantum watermark with the two parts secret information respectively,which realizes the self-adaptive of secret information and further improve the robustness of the secret information.Compared with the previous quantum steganography algorithms,the new algorithm not only retains the original imperceptibility and security,but also enhances the robustness of the embedded secret information.Secondly,We study a novel quantum watermarking algorithm based on improved LSQb modification for quantum audio.In the new algorithm,the least significant bites and the peripheral least significant bits of the amplitudes are modified in terms of their logical consistency and correlation to enhance watermark robustness of resisting on various illegal attacks.Furthermore,the new algorithm can avoid the weak robustness defect of many previous algorithms that directly embedded the watermark into the least significant bits.The simulation results,including the values of audio waveforms and signal to noise ratios(SNR)prove that the new algorithm has good transparency,robustness and security.Thirdly,Based on a quantum representation of digital audio(QRDA),a quantum audio steganography algorithm with large payload based on one-time-pad encryption is proposed.Compared with the previous quantum steganography algorithms,the necessary auxiliary information is reduced effectively and the capacity of secret information is increased by making full use of the redundant time points of the quantum audio.Meanwhile,the secret information is realized absolute security by adopting one-time-pad encryption.Besides,the recovery of secret information and localization of tampered position are established to recover and locate the secret information.What's more,The concrete circuit for quantum steganography we designed is proved that the new algorithm has good applicability.
Keywords/Search Tags:Quantum steganography, Least significant bit, Quantum audio, Quantum watermark, The quantum circuits of embedding and extracting
PDF Full Text Request
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