Image encryption using chaotic maps has been established a great way. The study shows that a number of functional architecture has already been proposed that utilize the process of diffusion and confusion. However, pe...Image encryption using chaotic maps has been established a great way. The study shows that a number of functional architecture has already been proposed that utilize the process of diffusion and confusion. However, permutation and diffusion are considered as two separate stages, both requiring image-scanning to obtain pixel values. If these two stages are mutual, the duplicate scanning effort can be minimized and the encryption can be accelerated. This paper presents a technique which replaces the traditional preprocessing complex system and utilizes the basic operations like confusion, diffusion which provide same or better encryption using cascading of 3D standard and 3D cat map. We generate diffusion template using 3D standard map and rotate image by using vertically and horizontally red and green plane of the input image. We then shuffle the red, green, and blue plane by using 3D Cat map and standard map. Finally the Image is encrypted by performing XOR operation on the shuffled image and diffusion template. Theoretical analyses and computer simulations on the basis of Key space Analysis, statistical analysis, histogram analysis, Information entropy analysis, Correlation Analysis and Differential Analysis confirm that the new algorithm that minimizes the possibility of brute force attack for decryption and very fast for practical image展开更多
针对传统灰狼优化(Grey Wolf Optimization, GWO)算法求解无人机三维路径规划问题时会出现收敛速度慢、容易陷入局部最优等问题,提出一种改进混合灰狼优化算法——CLGWO。基于Cat混沌映射和反向学习策略初始化灰狼种群,为算法全局搜索...针对传统灰狼优化(Grey Wolf Optimization, GWO)算法求解无人机三维路径规划问题时会出现收敛速度慢、容易陷入局部最优等问题,提出一种改进混合灰狼优化算法——CLGWO。基于Cat混沌映射和反向学习策略初始化灰狼种群,为算法全局搜索过程中丰富种群多样性奠定基础;提出新型非线性收敛因子的改进策略,提高算法全局搜索能力。在灰狼位置更新中提出引入狮群优化(Lion Swarm Optimization, LSO)算法的扰动因子和动态权重,使灰狼具有主动的搜索能力,避免因灰狼失去种群多样性而陷入局部最优。为验证改进算法的有效性,进行了8个国际通用的标准测试函数收敛性对比实验和无人机三维路径规划仿真实验。实验结果表明,CLGWO算法在单峰、多峰函数上均有较好的收敛性、较高的寻优精度;三维路径仿真环境下,CLGWO算法的平均路径长度、平均迭代次数、平均运行时间相比于GWO算法分别优化了33%、31%、52%,且路径转折少,能较好地得到全局最优值,验证了CLGWO算法的有效性。展开更多
文摘Image encryption using chaotic maps has been established a great way. The study shows that a number of functional architecture has already been proposed that utilize the process of diffusion and confusion. However, permutation and diffusion are considered as two separate stages, both requiring image-scanning to obtain pixel values. If these two stages are mutual, the duplicate scanning effort can be minimized and the encryption can be accelerated. This paper presents a technique which replaces the traditional preprocessing complex system and utilizes the basic operations like confusion, diffusion which provide same or better encryption using cascading of 3D standard and 3D cat map. We generate diffusion template using 3D standard map and rotate image by using vertically and horizontally red and green plane of the input image. We then shuffle the red, green, and blue plane by using 3D Cat map and standard map. Finally the Image is encrypted by performing XOR operation on the shuffled image and diffusion template. Theoretical analyses and computer simulations on the basis of Key space Analysis, statistical analysis, histogram analysis, Information entropy analysis, Correlation Analysis and Differential Analysis confirm that the new algorithm that minimizes the possibility of brute force attack for decryption and very fast for practical image
