Lightweight Cryptographic Algorithm Analysis for Secure IoT Communication on ESP-32 Platforms

His paper presents ESP-SecureFlow, a novel adaptive cryptographic framework tailored for ESP-32-based IoT devices, designed to intelligently balance security, performance, and energy efficiency in resource-constrained environments. Unlike traditional static encryption methods, ESP-SecureFlow dynamic...

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Vydané v:2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) s. 1 - 6
Hlavní autori: Rafat, Shihab Hossen, Jarin, Mishat Nissat, Mahdee, Taher Muhammad, Musa Miah, Abu Saleh, Haque, Najmul, Rahman Tusher, Md. Mahbubur, Shin, Jungpil, Ahmed, Istiaque
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 31.07.2025
Predmet:
daptive Cryptography
Dy-namic Algorithm Selection
Dynamic Algorithm Selection
Encryption
Energy efficiency
Energy-Aware Encryption
ESP-32
Heuristic algorithms
Internet of Things
IoT device
IoT Security
Lightweight Security FrameworkA
Lightweight Security Frameworkdaptive Cryptography
Machine learning algorithms
Power demand
Prediction algorithms
Real-time systems
Robustness
Technological innovation
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Shrnutí:His paper presents ESP-SecureFlow, a novel adaptive cryptographic framework tailored for ESP-32-based IoT devices, designed to intelligently balance security, performance, and energy efficiency in resource-constrained environments. Unlike traditional static encryption methods, ESP-SecureFlow dynamically selects between AES-128 and RC4 based on real-time system parameters such as battery level, message criticality, and computational load. A key innovation is its hybrid decision engine, which enables seamless transitions between lightweight and high-security algorithms: leveraging RC4 during low-power conditions for routine data, and enforcing AES-128 for critical transmissions or when power is abundant. Through extensive experimentation over 5,000 encryption cycles across varying message sizes (8-64 bytes), the framework demonstrates up to 23.8% reduction in power consumption compared to static AES-128 implementations, without sacrificing cryptographic robustness. Moreover, it achieves a 40.3% improvement in energy efficiency over static RC4 in critical-use scenarios, highlighting its effectiveness for adaptive security in real-world IoT deployments. These results establish ESP-SecureFlow as a practical, intelligent, and deployable solution for next-generation secure IoT systems requiring dynamic, context-aware encryption.his paper presents ESP-SecureFlow, a novel adaptive cryptographic framework tailored for ESP-32-based IoT devices, designed to intelligently balance security, performance, and energy efficiency in resource-constrained environments. Unlike traditional static encryption methods, ESP-SecureFlow dynamically selects between AES-128 and RC4 based on real-time system parameters such as battery level, message criticality, and computational load. A key innovation is its hybrid decision engine, which enables seamless transitions between lightweight and high-security algorithms: leveraging RC4 during low-power conditions for routine data, and enforcing AES-128 for critical transmissions or when power is abundant. Through extensive experimentation over 5,000 encryption cycles across varying message sizes (8-64 bytes), the framework demonstrates up to 23.8% reduction in power consumption compared to static AES-128 implementations, with-out sacrificing cryptographic robustness. Moreover, it achieves a 40.3% improvement in energy efficiency over static RC4 in critical-use scenarios, highlighting its effectiveness for adaptive security in real-world IoT deployments. These results establish ESP-SecureFlow as a practical, intelligent, and deployable solution for next-generation secure IoT systems requiring dynamic, context-aware encryption. T
DOI:10.1109/QPAIN66474.2025.11171742