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- W4387647860 endingPage "107231" @default.
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- W4387647860 abstract "Internet of Things is shaping the quality of living standard. With the rapid growth and expansion of adopting IoT-based approaches, their security represents a growing challenge for both manufacturers and consumers. There is a recent rising trend towards employing artificial intelligence approaches to enhance the security of IoT infrastructure. This survey paper focuses on reviewing recent developments in applying artificial intelligence to intrusion detection in the IoT domain. Selected articles are classified according to the applied AI algorithm. This study provides an in-depth survey highlighting the recent advances in artificial intelligence for improving the security of IoT. It summarizes and organizes the recent related research, then presents a comprehensive discussion on research challenges, open issues, and needed future research." @default.
- W4387647860 created "2023-10-15" @default.
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- W4387647860 date "2024-01-01" @default.
- W4387647860 modified "2023-10-15" @default.
- W4387647860 title "Review of artificial intelligence for enhancing intrusion detection in the internet of things" @default.
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- W4387647860 doi "https://doi.org/10.1016/j.engappai.2023.107231" @default.
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