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Achieving Balance Between Innovation and Security in the Cloud With Artificial Intelligence of Things: Semantic Web Control Models
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Author(s): R. Sundar (Department of Computer Science and Engineering, Madanapalle Institute of Technology and Science, Madanapalle, India), P. Balaji Srikaanth (Department of Networking and Communications, SRM Institute of Science and Technology, Kattankulathur, India), Darshana A. Naik (Department of Computer Science and Engineering, Ramaiah Institute of Technology, Bengaluru, India), V. P. Murugan (Department of Mathematics, Panimalar Engineering College, Chennai, India), Madhavi Karumudi (Department of Computer Science and Engineering, St. Peter's Engineering College, Hyderabad, India)and Sampath Boopathi (Department of Mechanical Engineering, Muthayammal Engineering College, Namakkal, India)
Copyright: 2024
Pages: 26
Source title:
Semantic Web Technologies and Applications in Artificial Intelligence of Things
Source Author(s)/Editor(s): Fernando Ortiz-Rodriguez (Tamaulipas Autonomous University, Mexico), Amed Leyva-Mederos (Universidad Central "Marta Abreu" de Las Villas, Cuba), Sanju Tiwari (Tamaulipas Autonomous University, Mexico), Ania R. Hernandez-Quintana (Universidad de La Habana, Cuba)and Jose L. Martinez-Rodriguez (Autonomous University of Tamaulipas, Mexico)
DOI: 10.4018/979-8-3693-1487-6.ch001
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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.
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