Visible to the public Voiceprint: A Novel Sybil Attack Detection Method Based on RSSI for VANETs

TitleVoiceprint: A Novel Sybil Attack Detection Method Based on RSSI for VANETs
Publication TypeConference Paper
Year of Publication2017
AuthorsYao, Y., Xiao, B., Wu, G., Liu, X., Yu, Z., Zhang, K., Zhou, X.
Conference Name2017 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)
Keywordscomposability, computer network security, Dynamic Time Warping, intelligent transportation systems, Metrics, mobile computing, Peer-to-peer computing, position estimation, Position measurement, pubcrawl, Radio propagation, radio propagation models, Received signal strength indicator, Receivers, Resiliency, road safety, RSSI, RSSI time series, Spectrogram, speech processing, Sybil attack, Sybil attack detection method, sybil attacks, Testing, Time series analysis, traffic engineering computing, transportation systems, V2I communications, V2V communications, VANET, vehicle-to-infrastructure communications, vehicle-to-vehicle communications, vehicular ad hoc networks, vehicular speech, Voiceprint

Vehicular Ad Hoc Networks (VANETs) enable vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications that bring many benefits and conveniences to improve the road safety and drive comfort in future transportation systems. Sybil attack is considered one of the most risky threats in VANETs since a Sybil attacker can generate multiple fake identities with false messages to severely impair the normal functions of safety-related applications. In this paper, we propose a novel Sybil attack detection method based on Received Signal Strength Indicator (RSSI), Voiceprint, to conduct a widely applicable, lightweight and full-distributed detection for VANETs. To avoid the inaccurate position estimation according to predefined radio propagation models in previous RSSI-based detection methods, Voiceprint adopts the RSSI time series as the vehicular speech and compares the similarity among all received time series. Voiceprint does not rely on any predefined radio propagation model, and conducts independent detection without the support of the centralized infrastructure. It has more accurate detection rate in different dynamic environments. Extensive simulations and real-world experiments demonstrate that the proposed Voiceprint is an effective method considering the cost, complexity and performance.

Citation Keyyao_voiceprint:_2017