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  • 标题:Integrating Steganography Using Genetic Algorithm and Visual Cryptography for Robust Encryption in Computer Forensics
  • 本地全文:下载
  • 作者:Ravindra Gupta ; Akanksha Jain
  • 期刊名称:International Journal of Electronics and Computer Science Engineering
  • 电子版ISSN:2277-1956
  • 出版年度:2012
  • 卷号:1
  • 期号:2
  • 页码:794-801
  • 出版社:Buldanshahr : IJECSE
  • 摘要:The proposed system highlights a novel approach for creating a secure steganographic method using genetic algorithm and visual cryptography for robust encryption in computer forensics. Although there has been an extensive research work in the past, but majority of the research work has no much optimal consideration for robust security towards the encrypted image. The proposed method encodes the secret message in least significant bits of the original image, where the pixels values of the encrypted image are modified by the genetic algorithm to retain their statistic characters, thereby making the detection of secret of message difficult. Use of Genetic algorithm has compelled the system for enhancing the security using optimal selection, mutation, and cross over. The proposed system hides data in a real image and achieve its detection after under went to visual cryptographic. The implementation is done in java platform which shows that the proposed system has better resilienc by considering the Steganalysis and bench marking with optimal visual standards
  • 关键词:Steganography; Visual Cryptography; Genetic Algorithm; RS Analysis
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