Citation:

Satyanarayan Kanungo, 2021. "Enhancing IoT Security and Efficiency: The Role of Cloud Computing and Machine Learning" ESP Journal of Engineering & Technology Advancements  1(1): 7-14.

Abstract:

The proliferation of the Internet of Things (IoT) has brought numerous benefits, but it has also raised concerns about security and efficiency. The interconnected nature of IoT devices and networks exposes them to various vulnerabilities and risks. To address these challenges, cloud computing and machine learning have emerged as powerful technologies with the potential to enhance IoT security and efficiency. Cloud computing offers scalable and flexible resources for secure data storage, processing, and centralized monitoring of IoT devices and networks. It provides a robust infrastructure that can handle the large volumes of data generated by IoT devices while also offering advanced security features such as encryption and access control. By leveraging cloud computing, organizations can offload computational tasks and focus on strengthening their IoT security measures. Machine learning, on the other hand, plays a crucial role in identifying threats, detecting anomalies, and predicting potential security breaches in IoT systems. By analyzing vast amounts of data collected from IoT devices, machine learning algorithms can learn patterns and behaviors, enabling real-time threat detection and proactive security measures. Additionally, machine learning techniques can optimize resource allocation and energy consumption in IoT deployments, improving overall efficiency. The integration of cloud computing and machine learning in IoT security offers synergistic advantages. Cloud-based machine learning models can be trained and deployed to analyze IoT data in real-time, enabling prompt responses to security incidents. Furthermore, cloud computing provides the necessary computational power and storage for training complex machine learning models, which are then deployed to edge devices for local decision-making.

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Keywords:

Cloud Computing, Machine Learning, IoT Security.