| Title | Artificial Intelligence for Edge Computing Security: A Survey |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Waguie, Francxa Tagne, Al-Turjman, Fadi |
| Conference Name | 2022 International Conference on Artificial Intelligence in Everything (AIE) |
| Keywords | artificial intelligence, artificial intelligence security, Bibliographies, cloud computing, composability, edge computing, Human Behavior, literature review, Market research, Measurement, Metrics, privacy, pubcrawl, resilience, Resiliency, security, Systematics |
| Abstract | Edge computing is a prospective notion for expanding the potential of cloud computing. It is vital to maintaining a decent atmosphere free of all forms of security and breaches in order to continue utilizing computer services. The security concerns surrounding the edge computing environment has been impeded as a result of the security issues that surround the area. Many researchers have looked into edge computing security issues, however, not all have thoroughly studied the needs. Security requirements are the goals that specify the capabilities and operations that a process that is carried out by a system in order to eliminate various security flaws. The purpose of this study is to give a complete overview of the many different artificial intelligence technologies that are now being utilized for edge computing security with the intention of aiding research in the future in locating research potential. This article analyzed the most recent research and shed light on the following topics: state-of-the-art techniques used to combat security threats, technological trends used by the method, metrics utilize to assess the techniques' ability, and opportunities of research for future researchers in the area of artificial intelligence for edge computing security. |
| DOI | 10.1109/AIE57029.2022.00091 |
| Citation Key | waguie_artificial_2022 |
Artificial Intelligence for Edge Computing Security: A Survey