6AInets: Harnessing artificial intelligence for the 6G network security: Impacts and Challenges
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866910409425944576 |
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| author | Kaur, Navneet Kshetri, Naresh Pandey, Purnendu Shekhar |
| author_facet | Kaur, Navneet Kshetri, Naresh Pandey, Purnendu Shekhar |
| contents | This decade has witnessed the initiation of the digital revolution, as anticipated with the advent of 5G networks. Looking ahead to the 6G communication era, considerations are being made regarding how individuals will engage with the digital virtual world. The design of 6G technology, which will present enormous opportunities to develop and enhance human potential, will have a major impact on communications in the 2030s. We believe that in 6G we will see an unprecedented transformation that will set it apart from earlier wireless cellular network generations. Specifically, 6G will leverage ubiquitous AI services ranging from the network's core to its end devices, going beyond unpredictable limits. Despite the numerous advantages offered by 6G over existing technologies, there remains a pressing need to address security concerns. For example, the automation of critical processes in the 6G infrastructure will lead to a significantly broader and more intricate attack surface. Thus, the significance of Artificial Intelligence (AI) in providing security aspects within the envisioned 6G paradigm is substantial, but its integration presents a dual-edged dynamic. Therefore, to strengthen and validate the relevance of AI in securing 6G networks, this article elucidates how AI can be strategically used in 6G security, addressing potential challenges, and proposing solutions to enhance its role in securing networks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_08643 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | 6AInets: Harnessing artificial intelligence for the 6G network security: Impacts and Challenges Kaur, Navneet Kshetri, Naresh Pandey, Purnendu Shekhar Networking and Internet Architecture This decade has witnessed the initiation of the digital revolution, as anticipated with the advent of 5G networks. Looking ahead to the 6G communication era, considerations are being made regarding how individuals will engage with the digital virtual world. The design of 6G technology, which will present enormous opportunities to develop and enhance human potential, will have a major impact on communications in the 2030s. We believe that in 6G we will see an unprecedented transformation that will set it apart from earlier wireless cellular network generations. Specifically, 6G will leverage ubiquitous AI services ranging from the network's core to its end devices, going beyond unpredictable limits. Despite the numerous advantages offered by 6G over existing technologies, there remains a pressing need to address security concerns. For example, the automation of critical processes in the 6G infrastructure will lead to a significantly broader and more intricate attack surface. Thus, the significance of Artificial Intelligence (AI) in providing security aspects within the envisioned 6G paradigm is substantial, but its integration presents a dual-edged dynamic. Therefore, to strengthen and validate the relevance of AI in securing 6G networks, this article elucidates how AI can be strategically used in 6G security, addressing potential challenges, and proposing solutions to enhance its role in securing networks. |
| title | 6AInets: Harnessing artificial intelligence for the 6G network security: Impacts and Challenges |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2404.08643 |