Berserker: ASN.1-based Fuzzing of Radio Resource Control Protocol for 4G and 5G

Potnuru, Srinath; Nakarmi, Prajwol Kumar

doi:10.1109/wimob52687.2021.9606317

Cited by 16 publications

(1 citation statement)

References 9 publications

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“…T-Fuzz [8] follows a generation-based fuzzing approach, relying on message models with full protocol specifications to test the 3GPP Non-Access Stratum (NAS) protocol, used in LTE and 5G networks. For the Resource Control layer (RCC) protocol that operates between the UE and gNB, a fuzzer based on the ASN.1 description language has been proposed [9]. The fuzzer extracts information about ongoing RRC messages by means of protocol description files of RRC from 3GPP, and uses it to mutate RRC messages.…”

Section: B Network-enabled and 5g Protocol Fuzzersmentioning

confidence: 99%

A Network Traffic Mutation Based Ontology, and Its Application to 5G Networks

et al. 2023

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This paper presents an ontology based on mutation techniques for the modelling of cybersecurity attacks and its application to 5G networks. Main concepts of network protocols, mutation operators, flow of network packets and network traffic are introduced. An ontology is designed based on different mutation operators that allow to design models that can be assimilated with known and unknown attacks. This approach has been implemented in our open source 5G network traffic fuzzer, 5Greplay, and has been applied to three use cases that are representative of attacks against 5G networks: NAS Replay attack, Denial of Service by Sending Malformed NGAP Packets and 5G encapsulation of IoT traffic.

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Section: B Network-enabled and 5g Protocol Fuzzersmentioning

confidence: 99%