Profiling and Non-Profiling Key Retrieval Attacks in Programmable Object Interfaces Using Deep Learning Cryptanalytic Techniques: A Survey

Intensive Research in the area of Hardware & Networking involves Security. This key concept is bypassed in the initial Design & Development of Hardware devices (IoT), paving way for vulnerable attacks. Attacks in Hardware Devices (IoT) are broadly classified into (i) Active attacks (ii) Passive attacks. This survey focusses on Passive attacks that include side-channel analysis aimed at retrieving data or scanning open ports and network vulnerabilities. In this Technological era, Side Channel Attacks are threatening the whole world, because communication is almost digital everywhere and anywhere. Security experts and cryptologists are working on a method to prevent such attacks on cryptographic implementations or devices, in order to prevent personal information from being leaked or misused. Adapting ML/DL methodologies for providing security has been advocated in a number of researches. This paper gives an overall survey of all the Side channel attacks involving the execution of Cryptanalytic algorithms and its counter measures encountered in the last few decades.