Machine Learning Techniques and Analytics for Cloud Security. Группа авторов

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      The smart real-time prototype developed as explained in this manuscript is really interesting and efficient in terms of the ease of response and accuracy, precisely for old age people, and also for people who needs special care. Total informative interface is designed using Google Cloud Console so that the operation can be possible for the android users. In absence of any help, people can operate basic electrical appliances using the interface, which is precisely voice-controlled. Moreover, it can search the web for your query and read out the results or inform you about the weather when you ask for it. It also smartly helps you to reduce the energy consumption by switching off the device when not needed. At extreme urgent condition, people can take help of cab service, which can save time and life. Interface with personal mosquito server can also be possible through IFTTT server, and that makes the system more robust. The most important part is that it can be integrated with the existing electrical circuit of one’s home, and therefore, it makes huge cost saving.

      4.11 Future Scope

      The present prototype can be augmented in near future to generate a large complex yet compact system with smart incorporation of artificial intelligence and therefore can be made scalable for embedding with future controllers. This adds with the benefit of less power requirement and ideal for modern home automation system. Several new and essential features can be easily ties up with the proposed system architecture like coffee machine operation, speed control of fan, and operation of air-conditioner. If private Mosquitto server can replace the original public server, then obviously faster response can be expected.

      References

      1. Alcácer, V. and Cruz-Machado, V., Scanning the Industry 4.0: A Literature Review on Technologies for Manufacturing Systems. Eng. Sci. Technol., an International J., 22, 3, 899–919, 2019.

      2. Al-wswasi, M., Ivanov, A., Makatsoris, H., A survey on smart automated computer-aided process planning (ACAPP) techniques. Int. J. Adv. Manuf. Technol., 97, 809–832, 2018.

      3. Tan, Y., Yang, W., Yoshida, K., Takakuwa, S., Application of IoT-Aided Simulation to Manufacturing Systems in Cyber-Physical System, Machines, 7(2), 1-13, 2019.

      4. Boyes, H., Hallaq, B., Cunningham, J., Watson, T., The industrial internet of things (IIoT): An analysis framework. Comput. Ind., 101, 1–12, 2018.

      6. Xu, H., Yu, W., Griffith, D., Golmie, N., A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective. IEEE Access, 6, 78238–8259, 2018.

      7. Kavitha, B.C. and Vallikannu, R., IoT Based Intelligent Industry Monitoring System. 6th International Conference on Signal Processing and Integrated Networks, Noida, India, 7-8 March 2019.

      8. Maple, C., Security and privacy in the internet of things. J. Cyber Policy, 2, 2, 155–184, 2017.

      9. Sfar, A.R., Natalizio, E., Challal, Y., Chtourou, Z., A roadmap for security challenges in the Internet of Things. Digital Commun. Networks, 4, 2, 118–137, 2018.

      10. Ranjan, R., Sharma, A., Tanwar, S., Voice-Controlled IoT Devices Framework for Smart Home, in: Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019). Lecture Notes in Networks and Systems, vol. 121 Springer, Singapore, pp. 57–67, 2020.

      11. Wu, Z., Qiu, K., Zhang, J., A Smart Microcontroller Architecture for the Internet of Things. Sensors (Basel), 20, 7, 1821, 2020.

      12. Mendoza, J.F., Ordóñez, H., Ordóñez, A., Jurado, J.L., Architecture for embedded software in microcontrollers for Internet of Things (IoT) in fog water collection. Proc. Comput. Sci., 109, 1092–1097, 2017.

      13. Singh, H.K., Verma, S., Pal, S., Pandey, K., A step towards Home Automation using IOT. 12th International Conference on Contemporary Computing, Noida, India, 8-10 Aug. 2019.

      14. Singh, U. and Ansari, M.A., Smart Home Automation System using Internet of Things. 2nd International Conference on Power Energy, Environment and Intelligent Control, Greater Noida, India, 18-19 Oct. 2019.

      15. Elsokah, M.M., Saleh, H.H., Ze, A.R., Next Generation Home Automation System Based on Voice Recognition. 6th International Conference on Engineering & MIS, vol. 72, pp. 1–7, 2020.

      16. Haria, H. and Mohammad, B.N.S., Home Automation System Using IoT and Machine Learning Techniques. 3rd International Conference on Advances in Science & Technology, 2020.

      17. Soumya, P.C., Design and Implementation of Home Automation System Using Facial Expressions, in: Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications, Advances in Intelligent Systems and Computing, vol. 327, Springer, Cham, 2015.

      18. Sowah, R. A., Boahene, D. E., Owoh, D. C., Addo, R., Mills, G. A., Owusu-Banahene, W., Buah, G., Sarkodie-Mensah, B., Design of a Secure Wireless Home Automation System with an Open Home Automation Bus (OpenHAB 2) Framework, Journal of Sensors: Integration of Sensors in Control and Automation Systems, 2020, 8868602, 2020.

      19. Pirbhulal, S., Zhang, H., Alahi, M.E.E., Ghayvat, H., Mukhopadhyay, S.C., Zhang, Y.T., Wu, W., A Novel Secure IoT-Based Smart Home Automation System using a Wireless Sensor Network. Sensors, 17, 1, 69, 2017.

      20. Al-Kuwari, M., Ramadan, A., Ismael, Y., Al-Sughair, L., Gastli, A., Benammar, M., Smart-home automation using IoT-based sensing and monitoring platform. IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering, Doha, Qatar, 10-12 April 2018.

      21. Jabbar, W.A., Alsibai, M.H., Amran, N.S.S., Mahayadin, S.K., Design and Implementation of IoT-Based Automation System for Smart Home. International Symposium on Networks, Computers and Communications, Rome, Italy, 19-21 June 2018.

      22. Veeranjaneyulu, N., Srivalli, G., Bodapati, J.D., Home Automation and Security System Using IOT. Rev. d’Intelligence Artif., 33, 1, 21–24, 2019.

      23. Amudha, S., Sankar, S.S.R., Rajkumar, M.N., Jain, A., Enhancement of smart home automation system using secure geofence concept in IoT. AIP Conference Proceedings, vol. 2112, p. 020036, 2019.

      1 * Corresponding author: [email protected]

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