Achieving Balance Between Innovation and Security in the Cloud With Artificial Intelligence of Things

Author:

Sundar R.1,Srikaanth P. Balaji2ORCID,Naik Darshana A.3ORCID,Murugan V. P.4,Karumudi Madhavi5,Boopathi Sampath6ORCID

Affiliation:

1. Department of Computer Science and Engineering, Madanapalle Institute of Technology and Science, Madanapalle, India

2. Department of Networking and Communications, SRM Institute of Science and Technology, Kattankulathur, India

3. Department of Computer Science and Engineering, Ramaiah Institute of Technology, Bengaluru, India

4. Department of Mathematics, Panimalar Engineering College, Chennai, India

5. Department of Computer Science and Engineering, St. Peter's Engineering College, Hyderabad, India

6. Department of Mechanical Engineering, Muthayammal Engineering College, Namakkal, India

Abstract

This chapter explores the integration of Semantic Web control models, innovation, and security in cloud computing, especially in the context of AIoT integration. The Semantic Web provides machine-understandable data and offers sophisticated control models that enhance innovation and security in cloud environments. Technologies like RDF, OWL, and SPARQL enable semantic interoperability, while control models focus on access control mechanisms and authentication strategies. The chapter introduces the concept of AIoT, integrating AI with IoT devices and discusses the potential of Semantic Web control models in managing security risks and fostering innovation.

Publisher

IGI Global

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