TY - JOUR
AU - Ayesh, Aladdin
AB - In the digital era, securing image data against unauthorized access is a critical challenge, particularly in applications such as cloud storage, IoT security, and medical imaging. This study presents a lightweight and secure image encryption algorithm based on the Tent Map chaotic system, which enhances encryption strength while maintaining computational efficiency. The proposed approach effectively obfuscates image content, achieving a uniform histogram distribution indicative of robust encryption. Comparative analysis with existing methods demonstrates its superiority, particularly in security performance metrics, including entropy (7.996), NPCR (99.65%), and UACI (33.4724%). Additionally, image quality assessments using Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM) confirm that the algorithm preserves image integrity while ensuring strong encryption. The algorithm’s lightweight nature makes it suitable for large-scale applications, such as real-time encryption in cloud environments, IoT security, and multimedia protection. These results highlight the effectiveness of the proposed method in balancing security, efficiency, and image quality, making it a practical solution for modern image encryption challenges.
TI - Lightweight secure image encryption: a tent map chaos theory approach
JF - Multimedia Tools and Applications
DO - 10.1007/s11042-025-20840-z
DA - 2025-04-14
UR - https://www.deepdyve.com/lp/springer-journals/lightweight-secure-image-encryption-a-tent-map-chaos-theory-approach-t6HntnW00O
SP - 1
EP - 20
VL - OnlineFirst
IS - 
DP - DeepDyve
ER -