A Survey on XAI for Beyond 5G Security: Technical Aspects, Use Cases,
Challenges and Research Directions
- URL: http://arxiv.org/abs/2204.12822v1
- Date: Wed, 27 Apr 2022 10:26:24 GMT
- Title: A Survey on XAI for Beyond 5G Security: Technical Aspects, Use Cases,
Challenges and Research Directions
- Authors: Thulitha Senevirathna, Zujany Salazar, Vinh Hoa La, Samuel Marchal,
Bartlomiej Siniarski, Madhusanka Liyanage, and Shen Wang
- Abstract summary: The goal of using XAI in the security domain of B5G is to allow the decision-making processes of the security of systems to be transparent and comprehensible to stakeholders.
In every facet of the forthcoming B5G era, including B5G technologies such as RAN, zero-touch network management, E2E slicing, this survey emphasizes the role of XAI in them and the use cases that the general users would ultimately enjoy.
- Score: 5.891706309293248
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: With the advent of 5G commercialization, the need for more reliable, faster,
and intelligent telecommunication systems are envisaged for the next generation
beyond 5G (B5G) radio access technologies. Artificial Intelligence (AI) and
Machine Learning (ML) are not just immensely popular in the service layer
applications but also have been proposed as essential enablers in many aspects
of B5G networks, from IoT devices and edge computing to cloud-based
infrastructures. However, most of the existing surveys in B5G security focus on
the performance of AI/ML models and their accuracy, but they often overlook the
accountability and trustworthiness of the models' decisions. Explainable AI
(XAI) methods are promising techniques that would allow system developers to
identify the internal workings of AI/ML black-box models. The goal of using XAI
in the security domain of B5G is to allow the decision-making processes of the
security of systems to be transparent and comprehensible to stakeholders making
the systems accountable for automated actions. In every facet of the
forthcoming B5G era, including B5G technologies such as RAN, zero-touch network
management, E2E slicing, this survey emphasizes the role of XAI in them and the
use cases that the general users would ultimately enjoy. Furthermore, we
presented the lessons learned from recent efforts and future research
directions on top of the currently conducted projects involving XAI.
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