作者
Satyanarayan Kanungo
发表日期
2021/6
期刊
ESP Journal of Engineering & Technology Advancements
卷号
1
期号
1
页码范围
1-14
出版商
ESP Publication house
简介
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 …
引用总数
学术搜索中的文章