PHOENIX: Device-Centric Cellular Network Protocol Monitoring using Runtime Verification
Mitziu Echeverria, Zeeshan Ahmed, Bincheng Wang, M. Fareed Arif, Syed Rafiul Hussain, Omar Chowdhury
摘要
End-user-devices in the current cellular ecosystem are prone to many different vulnerabilities across different generations and protocol layers. Fixing these vulnerabilities retrospectively can be expensive, challenging, or just infeasible. A pragmatic approach for dealing with such a diverse set of vulnerabilities would be to identify attack attempts at runtime on the device side, and thwart them with mitigating and corrective actions. Towards this goal, in the paper we propose a general and extendable approach called Phoenix for identifying n-day cellular network control-plane vulnerabilities as well as dangerous practices of network operators from the device vantage point. Phoenix monitors the device-side cellular network traffic for performing signature-based unexpected behavior detection through lightweight runtime verification techniques. Signatures in Phoenix can be manually-crafted by a cellular network security expert or can be automatically synthesized using an optional component of Phoenix, which reduces the signature synthesis problem to the language learning from the informant problem. Based on the corrective actions that are available to Phoenix when an undesired behavior is detected, different instantiations of Phoenix are possible: a full-fledged defense when deployed inside a baseband processor; a user warning system when deployed as a mobile application; a probe for identifying attacks in the wild. One such instantiation of Phoenix was able to identify all 15 representative n-day vulnerabilities and unsafe practices of 4G LTE networks considered in our evaluation with a high packet processing speed ( 68000 packets/second) while inducing only a moderate amount of energy overhead ( 4mW).
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引用它的顶会 Paper8
- AdaptOver: adaptive overshadowing attacks in cellular networksSimon Erni, Martin Kotuliak, Patrick Leu, Marc Roeschlin 等MobiCom 2022 · 被引用 52 次
- CellDAM: User-Space, Rootless Detection and Mitigation for 5G Data PlaneZhaowei Tan, Jinghao Zhao, Boyan Ding, Songwu LuNSDI 2023 · 被引用 13 次
- Freaky Leaky SMS: Extracting User Locations by Analyzing SMS TimingsEvangelos Bitsikas, Theodor Schnitzler, Christina Pöpper, Aanjhan RanganathanUSENIX Security 2023
- Gotta Detect 'Em All: Fake Base Station and Multi-Step Attack Detection in Cellular NetworksKazi Samin Mubasshir, Imtiaz Karim, Elisa BertinoUSENIX Security 2025
- Thwarting Smartphone SMS Attacks at the Radio Interface LayerHaohuang Wen, Phillip A. Porras, Vinod Yegneswaran, Zhiqiang LinNDSS 2023
它引用的顶会 Paper10
- A Formal Analysis of 5G AuthenticationDavid A. Basin, Jannik Dreier, Lucca Hirschi, Sasa Radomirovic 等CCS 2018 · 被引用 428 次
- Practical Attacks Against Privacy and Availability in 4G/LTE Mobile Communication SystemsAltaf Shaik, Jean-Pierre Seifert, Ravishankar Borgaonkar, N. Asokan 等NDSS 2016 · 被引用 342 次
- LTEInspector: A Systematic Approach for Adversarial Testing of 4G LTESyed Rafiul Hussain, Omar Chowdhury, Shagufta Mehnaz, Elisa BertinoNDSS 2018 · 被引用 225 次
- Breaking LTE on Layer TwoDavid Rupprecht, Katharina Kohls, Thorsten Holz, Christina PöpperS&P 2019 · 被引用 219 次
- 5GReasoner: A Property-Directed Security and Privacy Analysis Framework for 5G Cellular Network ProtocolSyed Rafiul Hussain, Mitziu Echeverria, Imtiaz Karim, Omar Chowdhury 等CCS 2019 · 被引用 188 次
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