Intelligent Learning Algorithm for Counterfeiting Side Channel Attack Using Adaptive Chaotic S Boxes for AES

Abstract

Digital image transmission has provided convenience to our life. These images newlinecontain information of many types such as official information, military information, newlinemedical information, technical information, personal information, etc. Henceforth, high newlinesecurity is needed on cryptographic embedded device. During the last few decades, there newlinehas been an exponential rise in the use of multimedia applications. The digital image is the newlinemajor part of this decade, hence providing a highly secured cryptographic algorithm still newlineremains to be a challenge. The cryptographic algorithms rely on hardware or software newlineimplementations. Often, hardware implementations of encryption schemes are vulnerable to newlineSide-Channel Attack (SCA). Through SCA intruders or cryptanalyst tries to retrieve or newlinemodify the original data by analysing the leakage of the physical characteristic from newlinecryptographic embedded device such as time, sound, electromagnetic radiation and power. newlineThe power analysis of cryptographic embedded devices has more significance in comparison newlinewith the other physical characteristics newline