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Improved video steganography with Dual Cover Medium,DNA and Complex Frames

Computers, Materials & Continua 2023年第2期74卷 3881-3898页

作者： Asma Sajjad Humaira Ashraf NZ Jhanjhi Mamoona Humayun Mehedi Masud Mohammed A.AlZain Department of Computer Science and Software Engineering International Islamic UniversityIslamabadPakistan School of Computer Science SCSTaylor’s UniversitySubang Jaya47500SelangorMalaysia FITTaylor’s UniversitySubangJaya47500SelangorMalaysia Department of Information Systems College of Computer and Information SciencesJouf UniversityKSA Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia

The most valuable resource on the planet is no longer oil,but *** transmission of this data securely over the internet is another challenge that comes with its ever-increasing *** order to transmit sensitive information securely,researchers are combining robust cryptography and steganographic *** objective of this research is to introduce a more secure method of video steganography by using Deoxyribonucleic acid(DNA)for embedding encrypted data and an intelligent frame selection algorithm to improve video *** the previous approach,DNA was used only for frame *** this DNA is compromised,then our frames with the hidden and unencrypted data will be *** the frame selected in this way were random frames,and no consideration was made to the contents of *** data in this way introduces visible artifacts in *** the proposed approach rather than using DNA for frame selection we have created a fakeDNA out of our data and then embedded it in a video file on intelligently selected frames called the complex *** chaotic maps and linear congruential generators,a unique pixel set is selected each time only from the identified complex frames,and encrypted data is embedded in these random *** results demonstrate that the proposed technique shows minimum degradation of the stenographic video hence reducing the very first chances of visual ***,the selection of complex frames for embedding and creation of a fake DNA as proposed in this research have higher peak signal-to-noise ratio(PSNR)and reduced mean squared error(MSE)values that indicate improved *** proposed methodology has been implemented in Matlab.

关键词： video steganography data encryption DNA embedding frame selection

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Optimizing Region of Interest Selection for Effective Embedding in video steganography Based on Genetic Algorithms

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Computer Systems Science & Engineering 2023年第11期47卷 1451-1469页

作者： Nizheen A.Ali Ramadhan J.Mstafa Department of Computer Science College of ScienceUniversity of DuhokDuhok42001Iraq Department of Computer Science Faculty of ScienceUniversity of ZakhoZakho42002Iraq Department of Computer Science College of ScienceNawroz UniversityDuhok42001Iraq

With the widespread use of the internet,there is an increasing need to ensure the security and privacy of transmitted *** has led to an intensified focus on the study of video steganography,which is a technique that hides data within a video cover to avoid *** effectiveness of any steganography method depends on its ability to embed data without altering the original video’s quality while maintaining high *** paper proposes a new method to video steganography,which involves utilizing a Genetic Algorithm(GA)for identifying the Region of Interest(ROI)in the cover *** ROI is the area in the video that is the most suitable for data *** secret data is encrypted using the Advanced Encryption Standard(AES),which is a widely accepted encryption standard,before being embedded into the cover video,utilizing up to 10%of the cover *** process ensures the security and confidentiality of the embedded *** performance metrics for assessing the proposed method are the Peak Signalto-Noise Ratio(PSNR)and the encoding and decoding *** results show that the proposed method has a high embedding capacity and efficiency,with a PSNR ranging between 64 and 75 dBs,which indicates that the embedded data is almost indistinguishable from the original ***,the method can encode and decode data quickly,making it efficient for real-time applications.

关键词： video steganography genetic algorithm advanced encryption standard security effective embedding

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A HEVC video Steganalysis Method Using the Optimality of Motion Vector Prediction

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Computers, Materials & Continua 2024年第5期79卷 2085-2103页

作者： Jun Li Minqing Zhang Ke Niu Yingnan Zhang Xiaoyuan Yang College of Cryptography Engineering Engineering University of the Chinese People’s Armed Police ForceXi’an710086China Key Laboratory of Network and Information Security of the Chinese People’s Armed Police Force Xi’an710086China

Among steganalysis techniques,detection against MV(motion vector)domain-based video steganography in the HEVC(High Efficiency video Coding)standard remains a challenging *** the purpose of improving the detection performance,this paper proposes a steganalysis method that can perfectly detectMV-based steganography in ***,we define the local optimality of MVP(Motion Vector Prediction)based on the technology of AMVP(Advanced Motion Vector Prediction).Secondly,we analyze that in HEVC video,message embedding either usingMVP index orMVD(Motion Vector Difference)may destroy the above optimality of *** then,we define the optimal rate of MVP as a steganalysis ***,we conduct steganalysis detection experiments on two general datasets for three popular steganographymethods and compare the performance with four state-ofthe-art steganalysis *** experimental results demonstrate the effectiveness of the proposed feature ***,our method stands out for its practical applicability,requiring no model training and exhibiting low computational complexity,making it a viable solution for real-world scenarios.

关键词： video steganography video steganalysis motion vector prediction motion vector difference advanced motion vector prediction local optimality

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A MV-Based Steganographic Algorithm for H.264/AVC without Distortion

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Computers, Materials & Continua 2020年第6期63卷 1205-1219页

作者： Hongqiong Tang Xiaoyuan Yang Yingnan Zhang Ke Niu Engineering University of PAP Xi’an710086China Key Laboratory of Network and Information Security under the PAP Xi’an710086China

H.264/AVC video is one of the most popular multimedia and has been widely used as the carriers of video *** this paper,a novel motion vector(MV)based steganographic algorithm is proposed for the H.264/AVC compressed video without *** modules are introduced to eliminate the distortion caused by the modifications of motion vectors and guarantee the security of the *** the embedding block,the motion vector space encoding is used to embed a(2n+1)-ary notational number into an n-dimension vector composed of motion vectors generated from the selection *** is adopted to disturb the order of steganographic carriers to improve the randomness of the carrier before the operation of *** re-motion compensation(re-MC)block will re-construct the macroblock(MB)whose motion vectors have been modified by embedding *** block plays the role of the generator for chaotic sequences and encryptor for secret *** results demonstrate that our proposed algorithm can achieve high embedding capacity without stego video visual quality distortion,it also presents good undetectability for existing MV-based steganalysis *** comparisons with other existing algorithms are provided to demonstrate the superiority of the proposed algorithm.

关键词： video steganography motion vector without distortion H.264/AVC

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