Implementation of localized frequency transform-based encryption for enhanced cybersecurity in communication networks

Chaturvedi, Mudit; Sharma, Shilpa; Ahmed, Gulrej; Bhavnagar, Vaibhav

doi:10.47974/JDMSC-2533

Open Access Research Article

Implementation of localized frequency transform-based encryption for enhanced cybersecurity in communication networks

Mudit Chaturvedimudit09chaturvedi@gmail.comDepartment of Computer & Communication EngineeringManipal University JaipurJaipur, Rajasthan, 303007, IndiaView full profile → , ^*Shilpa SharmaCorresponding authorshilpa.sharma@jaipur.manipal.eduDepartment of Computer ApplicationsManipal University JaipurJaipur, Rajasthan, 303007, IndiaView full profile → , Gulrej Ahmedgulraj.ahmed@jaipur.manipal.eduDepartment of Computer & Communication EngineeringManipal University JaipurJaipur, Rajasthan, 303007, IndiaView full profile → , Vaibhav Bhavnagarvaibhav.bhatnagar@jaipur.manipal.eduDepartment of Computer ApplicationsManipal University JaipurJaipur, Rajasthan, 303007, IndiaView full profile →

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pp. 169–178Vol. 29Issue 1January 2026DOI: 10.47974/JDMSC-2533 Crossmark XML

Received:: 07 May 2025
Published Online:: 31 Dec 2025
Article type:: Research Article
Language:: EN
Article no.:: JDMSC-2533
Pages:: 169–178

Abstract

The paper presents the Integrated Cybersecurity Evaluation and Risk Mitigation Framework (ICERMF), which utilizes wavelet-based cryptographic transforms in conjunction with AES-256 encryption to enhance data security and improve computational efficiency. The framework utilizes multi-resolution wavelet analysis to generate adaptive keys, resulting in a 30% decrease in encryption overhead compared to traditional methods while maintaining NIST-certified robustness. The combination of these innovations with Zero Trust Architecture and blockchain validation, and AI-driven monitoring enables ICERMF to fulfill SDG 9 (Industry, Innovation, and Infrastructure) through scalable security solutions and SDG 16 (Peace, Justice, and Strong Institutions) by protecting essential digital infrastructure. The wavelet-optimized encryption demonstrates a 92.4% correlation (ℓ; p < 0.01) between risk scores and breach reduction according to empirical validation. The results demonstrate its ability to improve data security and transaction integrity and real-time threat detection capabilities.

Keywords

Wavelet cryptography Adaptive encryption Cybersecurity SDG-aligned security Quantum-resistant algorithms

Subject Classifications

Primary 93A30Secondary 49K15

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