Distinguishing Lightweight Block Ciphers in Encrypted Images

Modern day lightweight block ciphers provide powerful encryption methods for securing IoT communication data. Tiny digital devices exchange private data which the individual users might not be willing to get disclosed. On other hand, adversaries try their level best capture this The first step towards is identify scheme. This work an effort construct a distinguisher cipher used in encrypting traffic We establish deep learning based method scheme from set of three viz. LBlock, PRESENT and SPECK. make use images MNIST fashion sets establishing cryptographic distinguisher. Our results show that overall classification accuracy depends firstly on type key secondly how frequently pixel values change original input image.