SALT-V: Lightweight Authentication for 5G V2X Broadcasting
- URL: http://arxiv.org/abs/2511.11028v1
- Date: Fri, 14 Nov 2025 07:32:21 GMT
- Title: SALT-V: Lightweight Authentication for 5G V2X Broadcasting
- Authors: Liu Cao, Weizheng Wang, Qipeng Xie, Dongyu Wei, Lyutianyang Zhang,
- Abstract summary: Vehicle-to-Everything (V2X) communication faces a critical authentication dilemma.<n>Neither meets 5G New Radio (NR)-V2X's stringent requirements for both immediate authentication and computational efficiency.<n>This paper presents SALT-V, a novel hybrid authentication framework.
- Score: 4.791189058605987
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Vehicle-to-Everything (V2X) communication faces a critical authentication dilemma: traditional public-key schemes like ECDSA provide strong security but impose 2 ms verification delays unsuitable for collision avoidance, while symmetric approaches like TESLA achieve microsecond-level efficiency at the cost of 20-100 ms key disclosure latency. Neither meets 5G New Radio (NR)-V2X's stringent requirements for both immediate authentication and computational efficiency. This paper presents SALT-V, a novel hybrid authentication framework that reconciles this fundamental trade-off through intelligent protocol stratification. SALT-V employs ECDSA signatures for 10% of traffic (BOOT frames) to establish sender trust, then leverages this trust anchor to authenticate 90% of messages (DATA frames) using lightweight GMAC operations. The core innovation - an Ephemeral Session Tag (EST) whitelist mechanism - enables 95% of messages to achieve immediate verification without waiting for key disclosure, while Bloom filter integration provides O(1) revocation checking in 1 us. Comprehensive evaluation demonstrates that SALT-V achieves 0.035 ms average computation time (57x faster than pure ECDSA), 1 ms end-to-end latency, 41-byte overhead, and linear scalability to 2000 vehicles, making it the first practical solution to satisfy all safety-critical requirements for real-time V2X deployment.
Related papers
- A Lightweight Defense Mechanism against Next Generation of Phishing Emails using Distilled Attention-Augmented BiLSTM [34.0814379994364]
The MobileBERT teacher receives fine-tuning before its transformation into a BiLSTM model with multi-head attention.<n>The system demonstrates excellent performance in terms of accuracy and latency while maintaining a compact size.<n>The paper examines system performance under high traffic conditions and security measures for privacy protection and implementation methods for operational deployment.
arXiv Detail & Related papers (2026-02-24T20:06:45Z) - LSEG: A Lightweight and Secure Key Exchange Protocol for Smart Grid Communication [0.9449650062296824]
This paper proposes a lightweight authentication and secure key exchange protocol for smart grid environments.<n>Session communication is protected using ASCON128a, a lightweight, NIST-standardized, authenticated encryption algorithm.<n>Results show LSEG effectively balances security, efficiency, and compliance, making it a scalable solution for secure communication in smart grid infrastructures.
arXiv Detail & Related papers (2025-11-10T19:01:55Z) - Lightweight Session-Key Rekeying Framework for Secure IoT-Edge Communication [0.0]
This paper presents the Dynamic Session Enhanced Key Protocol (DSEKP) that derives per-session AES-GCM keys using the HMAC-based Key Derivation Function (HKDF-SHA256)<n>Results demonstrate nearly identical throughput and reliability, with moderate overhead, while delivering per-session forward secrecy and built-in replay protection.<n>These findings confirm that dynamic symmetric symmetricing can substantially strengthen IoT-Edge links with minimal computational and bandwidth cost.
arXiv Detail & Related papers (2025-11-04T19:12:18Z) - Towards Reliable Service Provisioning for Dynamic UAV Clusters in Low-Altitude Economy Networks [48.73244147035607]
Unmanned Aerial Vehicle (UAV) cluster services are crucial for promoting the low-altitude economy by enabling scalable, flexible, and adaptive aerial networks.<n>We propose a Lightweight and Privacy-Preserving Cluster Authentication and Session Key Update (LP2-CA) scheme for dynamic UAV clusters in low-altitude economy networks.
arXiv Detail & Related papers (2025-09-07T15:54:11Z) - Random Forest Stratified K-Fold Cross Validation on SYN DoS Attack SD-IoV [0.0]
TCP SYN flood attacks are prevalent within the context of Software-Defined Internet of Vehicles (SD-IoV)<n>This research focuses on optimizing a Random Forest model to achieve maximum accuracy and minimal detection time.<n>It provides a robust solution against TCP SYN flood attacks while maintaining network efficiency and reliability.
arXiv Detail & Related papers (2025-09-07T00:18:30Z) - Zero-Trust Mobility-Aware Authentication Framework for Secure Vehicular Fog Computing Networks [0.0]
This paper presents a novel Zero-Trust Mobility-Aware Authentication Framework (ZTMAF) for secure communication in VFC networks.<n>The framework employs context-aware authentication with lightweight cryptographic primitives, a decentralized trust evaluation system, and fog node-assisted session validation to combat spoofing, replay, and impersonation attacks.
arXiv Detail & Related papers (2025-05-21T17:03:39Z) - Privacy-Preserving and Simultaneous Authentication in High-Density V2X Networks [1.2023648183416153]
Internet of Vehicles (IoV) networks require secure and efficient authentication to support high-speed, high-density and mobility-challenged environments.<n>This paper presents a privacy-preserving authentication scheme that incorporates batch authentication, mutual authentication, and secure key establishment.<n>Results from realistic implementations show that our method achieves average authentication and verification times of 10.61 ms and 1.78 ms, respectively, for a fleet of 100 vehicles, outperforming existing methods.
arXiv Detail & Related papers (2025-01-10T16:35:56Z) - OFDM-Standard Compatible SC-NOFS Waveforms for Low-Latency and Jitter-Tolerance Industrial IoT Communications [53.398544571833135]
This work proposes a spectrally efficient irregular Sinc (irSinc) shaping technique, revisiting the traditional Sinc back to 1924.
irSinc yields a signal with increased spectral efficiency without sacrificing error performance.
Our signal achieves faster data transmission within the same spectral bandwidth through 5G standard signal configuration.
arXiv Detail & Related papers (2024-06-07T09:20:30Z) - SOCI^+: An Enhanced Toolkit for Secure OutsourcedComputation on Integers [50.608828039206365]
We propose SOCI+ which significantly improves the performance of SOCI.
SOCI+ employs a novel (2, 2)-threshold Paillier cryptosystem with fast encryption and decryption as its cryptographic primitive.
Compared with SOCI, our experimental evaluation shows that SOCI+ is up to 5.4 times more efficient in computation and 40% less in communication overhead.
arXiv Detail & Related papers (2023-09-27T05:19:32Z) - Practical quantum secure direct communication with squeezed states [37.69303106863453]
We report the first table-top experimental demonstration of a CV-QSDC system and assess its security.<n>This realization paves the way into future threat-less quantum metropolitan networks, compatible with coexisting advanced wavelength division multiplexing (WDM) systems.
arXiv Detail & Related papers (2023-06-25T19:23:42Z) - WNARS: WFST based Non-autoregressive Streaming End-to-End Speech
Recognition [59.975078145303605]
We propose a novel framework, namely WNARS, using hybrid CTC-attention AED models and weighted finite-state transducers.
On the AISHELL-1 task, our WNARS achieves a character error rate of 5.22% with 640ms latency, to the best of our knowledge, which is the state-of-the-art performance for online ASR.
arXiv Detail & Related papers (2021-04-08T07:56:03Z) - Enabling certification of verification-agnostic networks via
memory-efficient semidefinite programming [97.40955121478716]
We propose a first-order dual SDP algorithm that requires memory only linear in the total number of network activations.
We significantly improve L-inf verified robust accuracy from 1% to 88% and 6% to 40% respectively.
We also demonstrate tight verification of a quadratic stability specification for the decoder of a variational autoencoder.
arXiv Detail & Related papers (2020-10-22T12:32:29Z) - FastEmit: Low-latency Streaming ASR with Sequence-level Emission
Regularization [78.46088089185156]
Streaming automatic speech recognition (ASR) aims to emit each hypothesized word as quickly and accurately as possible.
Existing approaches penalize emission delay by manipulating per-token or per-frame probability prediction in sequence transducer models.
We propose a sequence-level emission regularization method, named FastEmit, that applies latency regularization directly on per-sequence probability in training transducer models.
arXiv Detail & Related papers (2020-10-21T17:05:01Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.