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International Conference on Innovation & Growth in Next-Gen Intelligent Technology & Engineering (IGNITE)

A Hybrid Framework for Post-Quantum Secure and Privacy-Preserving End-to End Encrypted Messaging

Arya Kuwar, Shardul Bangale, Shambhavi Raj, Shravya Bhandary, Amol Suryawanshi, Priya Makarand Shelke

Published Jun 1, 2026• 0 citations
Publisher
DOI
10.1109/ignite69592.2026.11706275

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The rapid digital transformation of academic record and student attendance systems demands security mechanisms that simultaneously provide confidentiality, integrity, privacy-preserving data analytics, and long-term resilience against emerging quantum threats. While conventional cryptographic algorithms such as RSA, ECC, and AES remain computationally efficient, public-key schemes based on RSA and ECC are vulnerable to quantum attacks, limiting their suitability for protecting sensitive educational information in the long term. Existing studies generally focus either on post-quantum secure communication or on privacy-preserving computation, resulting in fragmented security architectures that increase implementation complexity in resource-constrained academic environments. To address this challenge, this paper proposes a Lightweight Hybrid Post-Quantum Cryptographic Algorithm (LHPQCA) that integrates the CRYSTALS-Kyber Key Encapsulation Mechanism (KEM) for quantum-resistant session key establishment, AES-GCM for authenticated encryption of attendance records, and the Paillier additive homomorphic cryptosystem for privacy-preserving aggregation of attendance statistics over encrypted data. By assigning each cryptographic primitive according to its intended function, the proposed architecture achieves quantum-secure key establishment, efficient symmetric data protection, and secure encrypted computation without relying on post-quantum algorithms for bulk data encryption. Experimental evaluation demonstrates that incorporating the Paillier cryptosystem introduces only modest computational overhead while preserving practical encryption latency, reducing key establishment latency by 28–35%, decreasing CPU utilization by 22%, and maintaining bandwidth overhead below 12% compared with conventional hybrid deployment architectures that perform secure communication without privacy-preserving aggregation. These results demonstrate that the proposed integration of CRYSTALS-Kyber, AES-GCM, and the Paillier cryptosystem provides an effective balance between quantum resilience, computational efficiency, and privacy-preserving analytics, making LHPQCA suitable for next-generation academic attendance systems and other resource-constrained educational applications. Keywords - Post-Quantum Cryptography, Hybrid Cryptographic Algorithm, CRYSTALS-Kyber, Key Encapsulation Mechanism (KEM), AES-GCM, Paillier Cryptosystem, Privacy-Preserving Analytics.

Techno Com•Aug 26, 2026•0 citations
Privacy and security are vital for digital communications to protect sensitive information and enable free expression. In this paper we present CELS (Crystalline Encryption Layered Security), a security extension based on a hybrid cryptographic approach that layers post-quantum cryptography (PQC) on top of a messaging application, to provide end-to-end data security. We introduce two CELS protocols, one for shared key establishment and one for key retrieval. Our prototype implementation, Discord CELS is a Firefox sidebar extension that adds end-to-end message encryption to a Discord server channel with native webhooks. It uses CRYSTALS-Kyber-1024 compiled with Emscripten for key encapsulation along with AES-256 GCM and PBKDF2 from the Web Crypto API for data encryption. CELS is resistant to attacks by both classical and quantum computers. CELS enables users to protect their messages with end-to-end encryption from being viewed by the messaging application company when using their existing service such as Discord. It is adaptable to other messaging applications and has cross-device flexibility, subject to platform constraints. Extensive performance evaluations demonstrate that the prototype system achieves good efficiency with low overhead, making it a practical security enhancement.
The advent of quantum computing poses an existential threat to the security of cloud services that handle sensitive visual data. Simultaneously, the need for computational privacy requires the ability to process data without exposing it to the cloud provider. This paper introduces and evaluates a hybrid quantum-resistant framework that addresses both challenges by integrating NIST-standardized post-quantum cryptography with optimized fully homomorphic encryption (FHE). Our solution uses CRYSTALS-Kyber for secure channel establishment and the CKKS FHE scheme with SIMD batching to perform image processing tasks on a cloud server without ever decrypting the image. This work provides a comprehensive performance analysis of the complete, end-to-end system. Our empirical evaluation demonstrates the framework’s practicality, detailing the sub-millisecond PQC setup costs and the amortized transfer of 33.83 MB of public FHE materials. The operational performance shows remarkable scalability, with server-side computations and client-side decryption completing within low single-digit milliseconds. By providing a detailed analysis of a viable and efficient architecture, this framework establishes a practical foundation for the next generation of privacy-preserving cloud applications.
The rapid digital transformation of academic record and student attendance systems demands security mechanisms that simultaneously provide confidentiality, integrity, privacy-preserving data analytics, and long-term resilience against emerging quantum threats. While conventional cryptographic algorithms such as RSA, ECC, and AES remain computationally efficient, public-key schemes based on RSA and ECC are vulnerable to quantum attacks, limiting their suitability for protecting sensitive educational information in the long term. Existing studies generally focus either on post-quantum secure communication or on privacy-preserving computation, resulting in fragmented security architectures that increase implementation complexity in resource-constrained academic environments. To address this challenge, this paper proposes a Lightweight Hybrid Post-Quantum Cryptographic Algorithm (LHPQCA) that integrates the CRYSTALS-Kyber Key Encapsulation Mechanism (KEM) for quantum-resistant session key establishment, AES-GCM for authenticated encryption of attendance records, and the Paillier additive homomorphic cryptosystem for privacy-preserving aggregation of attendance statistics over encrypted data. By assigning each cryptographic primitive according to its intended function, the proposed architecture achieves quantum-secure key establishment, efficient symmetric data protection, and secure encrypted computation without relying on post-quantum algorithms for bulk data encryption. Experimental evaluation demonstrates that incorporating the Paillier cryptosystem introduces only modest computational overhead while preserving practical encryption latency, reducing key establishment latency by 28–35%, decreasing CPU utilization by 22%, and maintaining bandwidth overhead below 12% compared with conventional hybrid deployment architectures that perform secure communication without privacy-preserving aggregation. These results demonstrate that the proposed integration of CRYSTALS-Kyber, AES-GCM, and the Paillier cryptosystem provides an effective balance between quantum resilience, computational efficiency, and privacy-preserving analytics, making LHPQCA suitable for next-generation academic attendance systems and other resource-constrained educational applications. Keywords - Post-Quantum Cryptography, Hybrid Cryptographic Algorithm, CRYSTALS-Kyber, Key Encapsulation Mechanism (KEM), AES-GCM, Paillier Cryptosystem, Privacy-Preserving Analytics.