ML-Based 5G Network Slicing Security: A Comprehensive Survey
نویسندگان
چکیده
Fifth-generation networks efficiently support and fulfill the demands of mobile broadband communication services. There has been a continuing advancement from 4G to 5G networks, with mainly providing three services enhanced (eMBB), massive machine type (eMTC), ultra-reliable low-latency (URLLC). Since it is difficult provide all these on physical network, network partitioned into multiple virtual called “slices”. These slices customize unique enable be reliable needs its users. This phenomenon slicing. Security critical concern in slicing as adversaries have evolved become more competent often employ new attack strategies. study focused security issues that arise during slice lifecycle. Machine learning deep algorithm solutions were applied planning design, construction deployment, monitoring, fault detection, phases slices. paper outlines concept, layers architectural framework, prevention attacks, threats, represent how influences network. also provides comparison existing surveys maps out taxonomies illustrate various for different application parameters functions, along significant contributions field.
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ژورنال
عنوان ژورنال: Future Internet
سال: 2022
ISSN: ['1999-5903']
DOI: https://doi.org/10.3390/fi14040116