Image Encryption Method Using New Concept of Compound Blood Transfusion Rule with Multiple Chaotic Maps

Area of Science:

• Computer Science
• Information Security
• Applied Mathematics

Background:

• The increasing transfer of sensitive digital information necessitates robust security measures.
• Image data, crucial in fields like medicine and defense, requires effective confidentiality solutions.

Purpose of the Study:

• To develop and evaluate an efficient image encryption technique for enhanced data security.
• To secure image data against unauthorized access through transformation into an unreadable format.

Main Methods:

• Implementation of a novel image encryption algorithm utilizing two chaotic logistic functions.
• Generation of pseudo-random sequences from a 256-bit secret key to control encryption.
• Application of ten distinct pixel operations determined by the chaotic map's output.

Main Results:

• The proposed method demonstrated high security and efficiency in image encryption.
• Statistical analyses, including NPCR (Number of Pixels Change Rate) and UACI (Unified Average Changing Intensity), confirmed the algorithm's robustness.
• Information entropy calculations indicated effective data diffusion and confusion.

Conclusions:

• The developed chaotic logistic function-based image encryption algorithm provides superior security and efficiency.
• This method is suitable for real-time applications, particularly for securing sensitive medical images.