AI-based cryptanalysis of classical and post-quantum encryption methods

Deshmukh, Pradeep Kundlik; Verma, S. Kishore; Jadhav, Pundlik Dattatray; Baltabaevich, Sarvar Iskandarov; Vijaykumar, Vandana; Khatri, Arun

doi:10.47974/JDMSC-2522

Open Access Research Article

AI-based cryptanalysis of classical and post-quantum encryption methods

^*Pradeep Kundlik DeshmukhCorresponding authorpkd.comp@coeptech.ac.inDepartment of Computer Science and EngineeringCOEP Technological UniversityPune, Maharashtra, 411005, IndiaView full profile → , S. Kishore Vermakishore.saj3@gmail.comDepartment of Artificial Intelligence and Data ScienceSaveetha Nagar, Thandalam PostSaveetha Engineering CollegeChennai, Tamil Nadu, 602105, IndiaView full profile → , Pundlik Dattatray Jadhavpdjadhav17@gmail.comDepartment of Computer ApplicationsInstitute of EngineeringNashik, Maharashtra, 422002, IndiaView full profile → , Sarvar Iskandarov Baltabaevichsarvar.i@urdu.uzDepartment of Mathematical AnalyzeUrgench State UniversityUrgench city, 220100, Uzbekistan0009-0001-4998-5141View full profile → , Vandana Vijaykumarvandanahanchate@moderncoe.edu.inDepartment of Electronics and TelecommunicationPES’S Modern College of EngineeringPune, Maharashtra, 411005, IndiaView full profile → , Arun Khatrikhatriarun@yahoo.comMittal School of BusinessLovely Professional UniversityPhagwara, Punjab, 144402, IndiaView full profile →

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pp. 759–767Vol. 29Issue 2-BFebruary 2026DOI: 10.47974/JDMSC-2522 Crossmark XML

Received:: 19 May 2025
Published Online:: 31 Dec 2025
Article type:: Research Article
Language:: EN
Article no.:: JDMSC-2522
Pages:: 759–767

Abstract

The use of artificial intelligence (AI) in cryptanalysis has changed the way that both traditional and post-quantum encryption methods are evaluated. This research shows a complete plan that uses AI models to make attack creation automatic and boost the effectiveness of cryptanalysis. We look at AI-driven methods that target symmetric and asymmetric classical algorithms, showing that they are better at finding weaknesses. We also apply AI-based cryptanalysis to post-quantum encryption methods and look at how strong they are against new threats. The system uses strict evaluation metrics to figure out how well and how often AI-enabled tactics work. Our results show that AI has the ability to speed up cryptanalysis and help make cryptographic methods more secure, which will make cybersecurity stronger in the age of quantum computers.

Keywords

Artificial intelligence Cryptanalysis Post-quantum cryptography Symmetric key algorithms Automated attack generation

Subject Classifications

68P25

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