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5G is the 5th generation cellular network protocol. It is thestate-of-the-art global wireless standard that enables an advanced kind ofnetwork designed to connect virtually everyone and everything with increasedspeed and reduced latency. Therefore, its development, analysis, and securityare critical. However, all approaches to the 5G protocol development andsecurity analysis, e.g., property extraction, protocol summarization, andsemantic analysis of the protocol specifications and implementations arecompletely manual. To reduce such manual effort, in this paper, we curateSPEC5G the first-ever public 5G dataset for NLP research. The dataset contains3,547,586 sentences with 134M words, from 13094 cellular network specificationsand 13 online websites. By leveraging large-scale pre-trained language modelsthat have achieved state-of-the-art results on NLP tasks, we use this datasetfor security-related text classification and summarization. Security-relatedtext classification can be used to extract relevant security-related propertiesfor protocol testing. On the other hand, summarization can help developers andpractitioners understand the high level of the protocol, which is itself adaunting task. Our results show the value of our 5G-centric dataset in 5Gprotocol analysis automation. We believe that SPEC5G will enable a new researchdirection into automatic analyses for the 5G cellular network protocol andnumerous related downstream tasks. Our data and code are publicly available.

SPEC5G: A Dataset for 5G Cellular Network Protocol Analysis