The Internet of Things (IoT) is increasingly becoming a part of our daily routines. This integration raises significant concerns about potential cybersecurity threats and the need for reliable solutions. This study presents a comprehensive systematic review of the current literature, exploring the various challenges and attacks that threaten IoT cybersecurity. It also discusses proposed frameworks and solutions. Additionally, the study delves into emerging trends and identifies gaps in current knowledge. A distinctive feature of this research is its in-depth exploration of machine learning methods to identify and mitigate IoT risks. The study further contributes by highlighting research gaps in evaluating the economic impacts and security concerns specific to industrial IoT.
| Mualliflar | Mirzaakhmedov, Dilmurod |
|---|---|
| Jurnal | Рақамли иқтисодиёт ва ахборот технологиялари |
| Nashr sanasi | 2023-12-30 |
| Jild | 3 |
| Son | 4 |
| Betlar | 133-139 |
| Til | Ingliz |
Internet of Things (IoT), cybersecurity, cybersecurity frameworks, cybersecurity approaches
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