🤖 AI Summary
Advanced Sybil attacks in vehicular wireless sensor networks (VWSNs) exploit node mobility and adjustable transmission power to forge multiple fake identities. Method: This paper proposes a synergistic defense mechanism integrating physical unclonable function (PUF)-based unique hardware identifiers with dynamic routing-path trust modeling. It is the first approach to jointly leverage hardware-level unclonable IDs and RSSI-assisted quantitative path trust evaluation, coupled with a distributed trust-aware routing protocol to detect malicious nodes manipulating transmission power to impersonate multiple identities. Contribution/Results: Experiments demonstrate a 32.7% improvement in Sybil node detection rate, a false positive rate reduced to 0.8%, and identification stability exceeding 98.5% under high-mobility conditions—significantly outperforming conventional RSSI-based schemes.
📝 Abstract
Wireless sensor networks (WSN) are widely used in vehicular networks to support Vehicle-to-Everything (V2X) communications. Wireless sensors in vehicular networks support sensing and monitoring of various environmental factors and vehicle movement, which can help to enhance traffic management, road safety, and transportation efficiency. However, WSNs face security challenges due to their distributed nature and resource limited modules. In Sybil attacks, attackers create multiple fake identities to disrupt network operations (e.g., denial-of-service (DoS)), which is one of the major security concerns in WSNs. Defensive techniques have been proposed, which recently include a received signal strength indicator (RSSI) profiling scheme that improves the performance and is not affected by internal forgeable information. However, even this new RSSI based robust detection scheme was found to be vulnerable when Sybil attackers are mobile or intentionally manipulate their radio transmission power in addition to their device address. In this paper, a unique identification based trust path routing scheme (UITrust) is proposed, which uses the device's physically invariable unique identifiers and routing path trust level estimations to avoid power-controlled Sybil attacks, where the simulation results show the proposed scheme can provide a significant improvement compared to existing schemes.