Ensuring secure transmission of sensitive information is vital in the digital age due to growing risks of data breaches and cyberattacks. This work introduces an approach to secret sharing by using an XOR-based technique to split a message into multiple shares. Each share, viewed independently, reveals no information about the original message, ensuring confidentiality. To further enhance secrecy, the Least Significant Bit method is employed to embed these shares into cover images, which appear unrelated to the secret message. This method maintains the cover images’ quality while preventing adversaries from extracting useful data from a single share. Security is heightened by requiring all embedded images to reconstruct the original message. Without access to all images, it is impossible to retrieve the hidden message. Experimental results show that our approach effectively secures data without compromising the visual quality of the cover images.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

A (n, n) Threshold Secret Message Sharing with Meaningful Stego-Images

  • Vamsidhar Kolukuluri,
  • Yogendra Singh Gound,
  • B. R. Purushothama

摘要

Ensuring secure transmission of sensitive information is vital in the digital age due to growing risks of data breaches and cyberattacks. This work introduces an approach to secret sharing by using an XOR-based technique to split a message into multiple shares. Each share, viewed independently, reveals no information about the original message, ensuring confidentiality. To further enhance secrecy, the Least Significant Bit method is employed to embed these shares into cover images, which appear unrelated to the secret message. This method maintains the cover images’ quality while preventing adversaries from extracting useful data from a single share. Security is heightened by requiring all embedded images to reconstruct the original message. Without access to all images, it is impossible to retrieve the hidden message. Experimental results show that our approach effectively secures data without compromising the visual quality of the cover images.