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  • 标题:IMAGE STEGANOGRAPHY BASED THE BEHAVIOR OF PARTICLE SWARM OPTIMIZATION
  • 本地全文:下载
  • 作者:INAAM RABAH MOHAMMAD ; Dr.ZIYAD TARIQ MUSTAFA AL TAI
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2018
  • 卷号:96
  • 期号:12
  • 出版社:Journal of Theoretical and Applied
  • 摘要:The growing possibilities of modern communications and the explosive growth of information technology imposed special means of security. Image steganography is one class of this security. However, in the modern world new techniques are appeared continuously such as swarm intelligence. Therefore, this work presents an enhancement of security in the field of image LSB steganography using the behavior of PSO algorithm. Specifically, SPSO algorithm represents the standard behavior of PSO, QPSO algorithm represents the quantum behavior of PSO and HPSO algorithm represents the human behavior of PSO. In this paper, three image steganography techniques are proposed using (SPSO, QPSO, and HPSO) algorithms. These algorithms are used to determine the best locations in the cover image pixels to embed the secret text message using LSB technique. Therefore, this paper presents a comparison and evaluations between these types of PSO algorithms in the field of image steganography. Experimental results for hiding different size text messages in four BMP cover images with different sizes, prove that the proposed image steganography using QPSO has best performance. However, PSNR of QPSO system stegocovers is (81.709 dB), the PSNR of HPSO system stegocovers is (81.143 dB), and the PSNR of SPSO system stegocovers is (81.012 dB). Hence, the proposed method using quantum behavior of PSO algorithm is the best performance system from steganography point of view.
  • 关键词:PSO; SPSO; QPSO; HPSO; LSB.
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