Random Strip Peeling:A novel lightweight image encryption for IoT devices based on colour planes permutation

作     者：Kenan Ince Cemile Ince Davut Hanbay 

作者机构：Software Engineering DepartmentInonü UniversityMalatyaTürkiye Computer Engineering DepartmentInonü UniversityMalatyaTürkiye 

出 版 物：《CAAI Transactions on Intelligence Technology》 (智能技术学报(英文))

年 卷 期：2025年第10卷第2期

页      面：529-544页

核心收录：

学科分类：0839[工学-网络空间安全] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Türkiye Bilimsel ve Teknolojik Arastırma Kurumu 

主　　题：chaotic encryption image scrambling algorithm lightweight image encryption symmetric encryption 

摘      要：This paper introduces a novel lightweight colour image encryption algorithm,specifically designed for resource-constrained environments such as Internet of Things(IoT)*** IoT systems become increasingly prevalent,secure and efficient data transmission becomes *** proposed algorithm addresses this need by offering a robust yet resource-efficient solution for image *** image encryption relies on confusion and diffusion *** stages are generally implemented linearly,but this work introduces a new RSP(Random Strip Peeling)algorithm for the confusion step,which disrupts linearity in the lightweight category by using two different sequences generated by the 1D Tent Map with varying initial *** diffusion stage then employs an XOR matrix generated by the Logistic *** evaluation metrics,such as entropy analysis,key sensitivity,statistical and differential attacks resistance,and robustness analysis demonstrate the proposed algorithm s lightweight,robust,and *** proposed encryption scheme achieved average metric values of 99.6056 for NPCR,33.4397 for UACI,and 7.9914 for information entropy in the SIPI image *** also exhibits a time complexity of O(2×M×N)for an image of size M×N.