Title | Analysis of network security and privacy security based on AI in IOT environment |
Publication Type | Conference Paper |
Year of Publication | 2021 |
Authors | Chu, Mingde, Song, Yufei |
Conference Name | 2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE) |
Keywords | AI, composability, data privacy, Human Behavior, Internet of Things, IoT, IoT security, Metrics, Network security, privacy, privacy security, Production, pubcrawl, Resiliency, security, Software |
Abstract | With the development of information technology, the Internet of things (IOT) has gradually become the third wave of global information industry revolution after computer and Internet. Artificial intelligence (AI) and IOT technology is an important prerequisite for the rapid development of the current information society. However, while AI and IOT technologies bring convenient and intelligent services to people, they also have many defects and imperfect development. Therefore, it is necessary to pay more attention to the development of AI and IOT technologies, actively improve the application system, and create a network security management system for AI and IOT applications that can timely detect intrusion, assess risk and prevent viruses. In this paper, the network security risks caused by AI and IOT applications are analyzed. Therefore, in order to ensure the security of IOT environment, network security and privacy security have become the primary problems to be solved, and management should be strengthened from technical to legal aspects. |
DOI | 10.1109/ICISCAE52414.2021.9590786 |
Citation Key | chu_analysis_2021 |