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Optimizing Region of Interest Selection for effective embedding in Video Steganography Based on Genetic Algorithms

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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