Enhancing IoT Integration with Cloud Computing: Addressing Security Challenges and Future Research Directions |
Author(s): |
| Soujanya Talawar , Alva’s Institute of Engineering and Technology, Mijar Karnataka, India ; Soujanya Talawar, Alva’s Institute of Engineering and Technology; Sowmya R, Alva’s Institute of Engineering and Technology; Smithesh Shetty, Alva’s Institute of Engineering and Technology; Srajesh Shetty, Alva’s Institute of Engineering and Technology |
Keywords: |
| Network Security Situation Prediction, Convolutional Neural Network, ResNeSt, Global Context Block, Salp Swarm Algorithm |
Abstract |
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The future internet will likely have more cloud computing and Internet of Things (IoT) integration, which will improve acceptability and usage. This combination is anticipated to revolutionize a number of applications, improving the functioning of the Internet of Things by utilizing cloud computing's capacity to disperse resources and data among multiple places. However, because traditional security procedures aren't always implemented to cloud-based systems efficiently, the quick transition to cloud computing has sparked security worries. In order to overcome these obstacles, IoT must be integrated with cloud technologies. This will enable IoT to leverage the vast resources of the cloud to support its physical limits in a more distributed and dynamic manner. Through an examination of IoT and cloud computing, an analysis of current developments in assaults targeting cloud-based IoT systems, and a study of cloud-related difficulties and solutions, this research aims to discover ways to enable a seamless transition of IoT projects to the cloud. Future research must address cybersecurity concerns in cloud computing and identify research gaps on IoT- based cloud infrastructure. |
Other Details |
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Paper ID: IJSRDV12I60020 Published in: Volume : 12, Issue : 6 Publication Date: 01/09/2024 Page(s): 12-17 |
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