The rapid evolution of Fifth Generation (5G) and beyond (B5G) networks has introduced significant security challenges, necessitating advanced cryptographic mechanisms to protect sensitive data during transmission. Traditional encryption models often struggle to balance security, computational efficiency, and adaptability to dynamic network conditions. This study proposes a novel hybrid cryptographic framework integrating the Advanced Encryption Standard (AES), Data Encryption Standard (DES), and Rivest-Shamir-Adleman (RSA) algorithms. AES and DES provide high-speed symmetric encryption for efficient data protection, while RSA enables secure key exchange and authentication. The integration of dynamic round keys enhances encryption complexity, improving resistance to cryptanalytic attacks. Performance evaluations, including encryption and decryption time analysis, data expansion metrics, and throughput assessments, demonstrate that the proposed framework achieves an optimal balance between security and computational overhead. Benchmark comparisons with traditional and post-quantum cryptographic models highlight the superior efficiency and reduced data expansion of the hybrid approach. Furthermore, practical implementation on ESP32 hardware confirms the model’s feasibility for real-time encryption in resource-constrained environments typical of 5G applications. This scalable and flexible encryption paradigm addresses current and emerging security requirements in high-speed wireless networks, with future work focusing on integration with quantum-resistant cryptographic mechanisms to enhance resilience against evolving cyber threats.
This repository provides an implementation, performance evaluation, and data-driven insights into this encryption approach, ensuring both data confidentiality and optimized performance for secure communication.
📌 Advanced Hybrid Encryption Model – AES-DES-RSA integration for secure and efficient communication.
📌 Real-World Performance Benchmarks – Encryption speed vs. computational cost.
📌 Scalability Testing – Performance impact on varying data sizes.
📌 Throughput Analysis – Impact of encryption on network transmission rates.
📌 S-Box Optimization – Custom S-Box configurations for AES and DES.
📌 ESP32 Implementation – Real-time encryption and cloud transmission tested on ESP32. (See esp32testing/ for code and results)
The proposed hybrid model has been successfully implemented and tested on the ESP32-WROOM-32 microcontroller platform as described in Section III-G of the research paper. Testing involved encryption and decryption of various payload sizes (8–128 bits) and real-time data transmission to ThingSpeak cloud.
📁 Contents of the esp32testing/ folder include:
esp32_test_code.ino: ESP32 Arduino code for hybrid encryption & cloud pushesp32_output_logs.txt: Measured encryption/decryption time, memory stats, transmission resultsthingspeak_result_screenshot.png(optional): Snapshot from successful IoT cloud uploads
- AES (fastest) but less secure alone
- DES (moderate speed) but vulnerable
- RSA (highly secure) but computationally expensive
- Hybrid AES-DES-RSA achieves balanced encryption performance
- Small files → Minimal overhead
- Large files → Balanced encryption time with optimized security
✔ Secure 5G communication
✔ IoT security applications
✔ Financial transactions encryption
✔ Secure cloud data storage
This project is a part of ongoing research on enhancing cryptographic security in 5G networks, focusing on multi-layer encryption techniques. The hybrid approach is designed to adapt to the growing complexity of cybersecurity threats in modern wireless communications.
📜 Research Paper: Hybrid Cryptographic Approach for Strengthening 5G/B5G Security
📜 Cryptographic Standards: AES, DES, RSA, and Advanced S-Box Theory
Have suggestions for improvements? Open an issue or submit a pull request. Contributions are welcome! 🚀
👤 Aman Kumar – Lead Developer & Researcher
💡 Want to learn more? Check out the detailed project documentation in docs/project_overview.md.