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Providing security for diagnostic and medical data is very essential for preserving privacy and safety of patients. This work present a chaos and DNA based encryption method for securing health care data. Recently, number of chaos and DNA based method has been presented by various researcher to safeguard diagnostic and medical image. However, these models are not efficient against cropping attack. As there exist high correlation among neighboring pixel. Thus, for resisting against cropping attack effective bit scrambling method is required. Firstly, this work present an efficient bit scrambling using logistic sine map and pseudorandom sequence using chaotic system. Then, DNA substitution is performed among them to resist against differential, statistical and cropping attack. Experiment are conducted on standard Lena and medical image. The outcome achieved shows proposed image security model is efficient when compared to existing image security models. |
