Cryptic-Mining: Association Rules Extractions Using Session Log

Abstract

Today, securing data of gargantuan size is challenging especially for unstructured data item belonging to industries or business sectors. This paper reviews approaches for investigation of mining algorithms in cryptography and sheds light on application of mining algorithms in symmetric key cryptography. It makes an attempt to find out how classification and association rules can be used to distinguish the encrypted data. The paper also raises some research questions regarding the design issues associated with the implementation of Automatic Variable Key (AVK) in current scenario.