Reconstructed Optimization Logic for the Secure Vaults with Arduino for the IoT Environment
Keywords:
Internet of Things (IoT), Arduino Duo, Reconstructed Logic, Optimization Model, Security, VaultsAbstract
Internet of Things (IoT) provides the transparent and seamless services to the deployed application. However, the IoT environment subjected to the challenge of the data security for the deployed environment. The presence of the IoT devices in the network comprises of the evolution, advancement and huge data for the frequent attackers in the network. The hackers of the IoT network uses the large number of data attacker to identify and collects the personal information and identity of the data. To make the IoT devices more manageable and secure for the different environment it is necessary to develop a appropriate security scheme. This paper proposed a Reconstructed Network Logic optimization (RNLO) model for the data security in IoT. The proposed RNLO model uses the reconstructed network logic features for the estimation of the features. Through the reconstructed algorithm the logic is characterized with the optimization model. The implementation of the optimization model uses the estimation of the node is attacker or not with the scoring value in the optimized values. To enhance the security the Arduino Duo based secure vaults is implemented in the proposed RNLO for the security improvement. The experimental analysis expressed that proposed RNLO model increases the attack prevention rate with the improved accuracy value of 99% which is ~5% higher than the existing attack detection techniques.
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Mabrouki, J., Azrour, M., Dhiba, D., Farhaoui, Y., & El Hajjaji, S. (2021). IoT-based data logger for weather monitoring using arduino-based wireless sensor networks with remote graphical application and alerts. Big Data Mining and Analytics, 4(1), 25-32.
Kanade, P., & JP, P. (2021). Arduino based machine learning and IOT Smart Irrigation System. International Journal of Soft Computing and Engineering (IJSCE), 10(4), 1-5.
Arunachalam, A., & Andreasson, H. (2022). RaspberryPi‐Arduino (RPA) powered smart mirrored and reconfigurable IoT facility for plant science research. Internet Technology Letters, 5(1), e272.
Ahmed, A. S., Marzog, H. A., & Abdul-Rahaim, L. A. (2021). Design and implement of robotic arm and control of moving via IoT with Arduino ESP32. International Journal of Electrical & Computer Engineering (2088-8708), 11(5).
Mankotia, A., & Shukla, A. K. (2022). IOT based manhole detection and monitoring system using Arduino. Materials Today: Proceedings, 57, 2195-2198.
Banerjee, P. S., Karmakar, A., Dhara, M., Ganguly, K., & Sarkar, S. (2021). A novel method for predicting bradycardia and atrial fibrillation using fuzzy logic and arduino supported Iot sensors. Medicine in Novel Technology and Devices, 10, 100058.
Ahmed, E. Q., Aljazaery, I. A., Al-zubidi, A. F., & ALRikabi, H. T. S. (2021). Design and implementation control system for a self-balancing robot based on internet of things by using Arduino microcontroller. Periodicals of Engineering and Natural Sciences (PEN), 9(3), 409-417.
Janeera, D. A., Poovizhi, H., Haseena, S. S., & Nivetha, S. (2021, March). Smart embedded framework using arduino and IoT for real-time noise and air pollution monitoring and alert system. In 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) (pp. 1416-1420). IEEE.
Ga, S., Cha, H. J., & Kim, C. J. (2021). Adapting Internet of Things to Arduino-based devices for low-cost remote sensing in school science learning environments.
Kumar, N., Dey, B., Chetri, C., Agarwal, A., & Debnath, A. (2022). Development of an IoT-Based Smart Greenhouse Using Arduino. In Advances in Communication, Devices and Networking (pp. 455-465). Springer, Singapore.
Singh, K., & Bura, D. (2021). Internet-of-Things (IoT): Distinct Algorithms for Sensor Connectivity with Comparative Study between Node MCU and Arduino UNO. NVEO-NATURAL VOLATILES & ESSENTIAL OILS Journal| NVEO, 4313-4324.
Gnanavel, S., Sreekrishna, M., DuraiMurugan, N., Jaeyalakshmi, M., & Loksharan, S. (2022, January). The smart iot based automated irrigation system using arduino uno and soil moisture sensor. In 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (pp. 188-191). IEEE.
Ganguly, K., Karmakar, A., & Banerjee, P. S. (2021, January). ValveCare: a fuzzy based intelligent model for predicting heart diseases using arduino based IoT infrastructure. In International conference on computational intelligence in communications and business analytics (pp. 229-242). Springer, Cham.
Prakash, A., Kumar, R., Singh, P. K., Singh, A., Ahmed, S., & Jain, A. (2021). A Review on IOT Based Water Irrigation And Farm Protection using Arduino.
Reddy, N. V. K., Varma, G. M., & Visalakshi, P. (2021). Design of IoT Based Coal Mine Safety System Using Arduino UNO. Annals of the Romanian Society for Cell Biology, 5663-5670.
James, A., Seth, A., & Mukhopadhyay, S. C. (2022). Programming Arduino for IoT System. In IoT System Design (pp. 81-104). Springer, Cham.
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