Artificial Intelligence in Identifying or Mitigating Threats in Internet of Things
| Autor: | Mais Alsharqi, Haitham S. Hasan |
|---|---|
| Jazyk: | Arabic<br />English |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Iraqi Journal for Computers and Informatics, Vol 48, Iss 2, Pp 9-15 (2022) |
| Druh dokumentu: | article |
| ISSN: | 2313-190X 2520-4912 |
| DOI: | 10.25195/ijci.v48i2.460 |
| Popis: | The Internet of Things (IoT) is generally acknowledged as a dramatic change spearheaded by scientists and business executives. The IoT has the potential to improve our daily lives by connecting smart devices to the internet. Due to the limited resources and distant deployment of these IoT devices, securing them is a significant challenge today. This paper focuses primarily on mitigating threats and attacks on realistic artificial intelligence, such as network architecture for smart devices. The text on mitigating attacks in networks, especially those involving mobile nodes, is discussed. We develop and test a new countermeasure against all mitigated attack variants. The proposed approach combines node location and trust-based parent selection. The result demonstrates the viability of the suggested countermeasure. In addition, demonstrating the superiority of the suggested countermeasure involves considering the precision of detecting the attack and the delay in isolating the attacker. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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