Litcius/Paper detail

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

R. Sundar, P. Balaji Srikaanth, Darshana A. Naik, Vadivel Murugan, Madhavi Karumudi, Sampath Boopathi

2024Advances in web technologies and engineering book series21 citationsDOI

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.

Topics & Concepts

Balance (ability)Cloud computingComputer securityComputer scienceBusinessPsychologyNeuroscienceOperating systemBlockchain Technology Applications and SecurityIoT and Edge/Fog ComputingCloud Data Security Solutions