An image encryption algorithm of scrambling binary sequences by improved logistic mapping
Liu Bing, Die Fu · 2017
Based on improved Logistic chaotic mapping, an image encryption algorithm of scrambling binary sequences is proposed in this paper to deal with the problems of the traditional Logistic chaotic mapping and its general improvement, such as narrow parameter range, more fixed points, single initial value iteration and the smaller key space. By analyzing and comparing, the algorithm proposed in this paper has not only larger key space and better execution efficiency, but also better performance of related evaluation indexes in its relevant chaotic system, which possesses its own application value in the field of confidential storage and communications.