
International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 3
July-September 2025
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Corona Graph-Based Encryption for Secure IoT Communication
Author(s) | Mr. Praveen Kumar Reddy Idamakanti |
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Country | India |
Abstract | The rapid expansion of IoT in domains like smart homes and wearables has intensified the need for lightweight and secure encryption . In this work, we propose a novel Corona Graph-Based Encryption scheme tailored for resource-constrained IoT environments. Our method constructs a corona graph, labels each node with pseudorandom values (from a PRNG seeded by a shared key), and performs encryption by XOR-ing plaintext blocks with the sequence of node labels obtained along a predefined traversal path. Decryption inverts this process using the same PRNG and graph path. We benchmark the scheme against AES-128 and ChaCha20, evaluating CPU usage, memory footprint, throughput, and output entropy. Simulated results indicate that while Corona Graph encryption incurs higher CPU overhead (due to graph traversal), it achieves comparable ciphertext entropy, suggesting strong security properties. We discuss use cases in smart homes, drones, and wearables, and argue that Corona-Graph encryption offers a flexible, structurally-rich alternative for IoT data protection. |
Keywords | Corona Graph, Graph-Based Encryption, IoT Security, Lightweight Cryptography, Resource-Constrained Devices, Pseudorandom Number Generator (PRNG), XOR Encryption, Smart Homes, Wearable Devices, Drones, Ciphertext Entropy, CPU Overhead, Memory Footprint, Encryption Throughput, Symmetric Key Cryptography, Alternative to AES & ChaCha20, Secure IoT Communication, Graph Traversal, Novel Encryption Scheme |
Field | Computer > Network / Security |
Published In | Volume 16, Issue 3, July-September 2025 |
Published On | 2025-07-30 |
DOI | https://doi.org/10.71097/IJSAT.v16.i3.7321 |
Short DOI | https://doi.org/g9vzfv |
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IJSAT DOI prefix is
10.71097/IJSAT
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