Abstract

The paper defined the needs of an IoT data transmission system based on the secured system, designed, constructed and tested its operation to provide reliable as well as secure communication. The system architecture was made of sensing, processing and encryption, communication, storage and user interface units. It was programmed on an ESP-32 microcontroller with capacitive touch sensor to generate event and buzzer to provide local feedback. AES-256 encryption was used to encrypt the data packets and transmit to Firebase Realtime Database. A web client written in ReactJS/NextJS was also created to authenticate users, retrieve and decrypt data, and visualize it on a dashboard. Findings indicated that the systems performed effectively, and the encrypted packet transmission latency was less than one second, maximum packet loss, and stable operation over long periods of time. In spite of features like reliance on Wi-Fi and Firebase, general absence of off-line storage, and performance issues, the prototype showed that it was possible to create safe and trustworthy interaction between smart home IoT devices with minimal expense microcontrollers and minimalistic cryptographic protocols.

References

• Lee, I., and Lee, K. The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58(4):431–440, 2021.
• Mohammadi, M., Al-Fuqaha, A., Sorour, S., and Guizani, M. Deep learning for IoT big data and streaming analytics: A survey. IEEE Communications Surveys & Tutorials, 20(4):2923–2960, 2020.
• Gubbi, J., Buyya, R., Marusic, S., and Palaniswami, M. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7):1645–1660, 2020.
• HP. Internet of Things research study: Security vulnerabilities in connected devices. HP Security Report, 2022.
• Security Week. Mirai botnet attack highlights IoT vulnerabilities. Security Week Magazine, 2022.
• Singh, H., and Kaur, G. Privacy-preserving techniques in IoT. Journal of Privacy and Data Protection, 7(2):115–132, 2022.
• Khan, M., and Alshammari, R. Lightweight cryptography in IoT: A survey. Journal of Cryptographic Engineering, 13(2):101–119, 2023.
• Garcia, S., Kim, H., and Zhou, W. Global investment trends in IoT security. Journal of Financial Technology, 18(1):22–36, 2024.
• Hughes, J., and Zhang, Y. Energy-efficient encryption in IoT smart homes. Journal of Sustainable Computing, 20(1):14–27, 2023.
• Reynolds, J., Wong, A., and Li, P. Regulatory frameworks for IoT security. Journal of Policy and Regulation, 11(4):67–84, 2023.
• Anderson, P., and Smith, J. Smart home security market growth and challenges. Global Security Review, 16(2):89–104, 2024.
• Carter, L., Brown, A., and Evans, D. Emerging technologies for IoT security: Blockchain and edge computing. Journal of Emerging Technologies, 15(1):40–59, 2023.
• Chen, Y., and Lee, K. Centralized versus decentralized IoT security models. Journal of Information Systems Security, 19(4):255–268, 2023.
• Rani, P., Singh, R., and Sharma, S. AI-driven smart homes: A review. Journal of Artificial Intelligence in Smart Systems, 9(2):55–70, 2023.
• Alaba, F. A., Othman, M., Hashem, I. A. T., and Alotaibi, F. Internet of Things security: A survey. Journal of Network and Computer Applications, 88:10–28, 2022.
• Ali, M., Khan, A., and Hussain, S. Weak authentication in IoT devices: Threats and countermeasures. IEEE Internet of Things Journal, 9(14):11856–11870, 2022.
• Gupta, A., and Patel, V. Cryptographic approaches to secure IoT communication. Journal of Internet Services and Information Security, 12(4):34–51, 2022.
• Rahman, A., Saha, T., and Karim, M. Firmware vulnerabilities in IoT devices: A survey. International Journal of Information Security Science, 11(2):88–104, 2022.
• Adegbite, T., Johnson, M., and Adebayo, R. Data privacy in smart homes: Risks and protection mechanisms. International Journal of IoT Security, 12(3):45–59, 2023.
• Fernandez, P., Thomas, R., and Liu, H. Physical security threats in IoT-based smart homes. Journal of Cyber-Physical Security, 5(3):50–62, 2023.
• Kumar, P., and Patel, R. IoT applications in smart homes: Opportunities and challenges. International Journal of Smart Systems, 15(1):25–41, 2022.
• Nguyen, T., Zhao, L., and Chen, H. Machine learning in intrusion detection systems for IoT. ACM Transactions on Cybersecurity, 6(4):55–74, 2023.
• Gonzalez, M., and Brown, T. Vulnerabilities in consumer IoT devices: A case study on smart cameras. Cybersecurity Reports, 21(2):77–95, 2023.
• Hassan, M., Ibrahim, S., and Khan, R. Blockchain and homomorphic encryption in IoT data security. IEEE Access, 11:19022–19035, 2023.
• Elhoseny, M., Patel, K., and Gupta, A. Lightweight cryptography for IoT data transmission. Journal of Information Security and Applications, 74:103–118, 2023.
• Ahmed, M., Rahman, K., and Chowdhury, S. Authentication models for IoT-based smart homes. Journal of Cybersecurity Research, 8(1):55–72, 2023.
• Patel, V., Sharma, D., and Gupta, R. Blockchain-based security for IoT. Journal of Distributed Ledger Technologies, 9(3):201–219, 2022.
• Sharma, D., and Singh, A. Secure IoT communication using TLS and DTLS. Journal of Internet Technology, 24(1):88–102, 2023.
• Mukherjee, S., and Roy, A. The impact of firmware updates on IoT security. Journal of Information Technology Security, 14(1):99–115, 2023.
• Nguyen, T., Tran, V., and Bui, H. Secure boot and intrusion detection in IoT devices. Journal of Network Security, 20(3):200–214, 2022.