dSCADL: A Data Flow based Symmetric Cryptographic Algorithm Description Language

Abstract

The symmetric cryptographic algorithm(SCA) is one of the fundamental technologies for information security. Due to the ever-increasing computing power and evolving attack technologies, researchers have to keep seeking more secure algorithms with better attack resistances. This paper proposes a data flow based Symmetric Cryptographic Algorithm Description Language(dSCADL) to speed up the implementation and evaluation which are vital for new cipher algorithm explorations. With flexible data structures and proven Turing-completeness, users can intuitively describe algorithms by mainly focusing on data flow. Evaluation results show that dSCADL can speed up implementation efficiency of typical SCAs by 2.95 to 9.75 times over existing researches. The language definition and runtime library are open sources for practical SCA explorations.