@inproceedings{44b29fd1402545e395c2c87792cc839a,
title = "Pervasive AI for Secure and Scalable IoT- Edge-Cloud Continuum: A Big Picture",
abstract = "The proliferation of Internet of Things (IoT) devices has led to an explosion of data generated at the edge of the network. This has led to the development of the IoT -Edge-Cloud continuum, where data is processed and analyzed across multiple layers of the network. However, this also poses significant security and privacy challenges, as sensitive data is transmitted across the network. In this paper, we propose the use of Pervasive Artificial Intelligence (AI) to enhance the security and efficiency of the IoT -Edge-Cloud continuum. Pervasive AI can be used at each layer of the network to process and analyze data in real-time, reducing the amount of data that needs to be transmitted across the network. This can help to improve response times, reduce network traffic, and enhance security by keeping data localized. We also discuss the potential cybersecurity threats and future research directions for the use of Pervasive AI in the IoT - Edge-Cloud continuum. Our findings suggest that Pervasive AI has significant potential to enhance the security and efficiency of the IoT -Edge-Cloud continuum, and should be considered as a viable solution for future IoT deployments.",
keywords = "Edge-AI, Machine Learning, Pervasive AI, Privacy and Scalability, Security, Tiny-ML",
author = "Deepak Puthal and Mohanty, {Saraju P.} and Yeun, {Chan Yeob} and Ernesto Damiani and Biswajeet Pradhan",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 25th IEEE International Conferences on High Performance Computing and Communications, 9th International Conference on Data Science and Systems, 21st IEEE International Conference on Smart City and 9th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC/DSS/SmartCity/DependSys 2023 ; Conference date: 13-12-2023 Through 15-12-2023",
year = "2023",
doi = "10.1109/HPCC-DSS-SmartCity-DependSys60770.2023.00083",
language = "British English",
series = "Proceedings - 2023 IEEE International Conference on High Performance Computing and Communications, Data Science and Systems, Smart City and Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "566--573",
editor = "Jinjun Chen and Yang, {Laurence T.}",
booktitle = "Proceedings - 2023 IEEE International Conference on High Performance Computing and Communications, Data Science and Systems, Smart City and Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2023",
address = "United States",
}