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Role-based identities are central to understanding how individuals navigate social environments by adopting distinct self-conceptions aligned with various societal roles. These identities are not fixed traits but are constructed through personal actions and the social feedback individuals receive in context-specific interactions. Each social role, such as student, teacher, or friend, carries a set of expectations and norms that influence how people think, feel, and behave within that...
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Related Experiment Video

Updated: May 28, 2026

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

A Lightweight Identity Authentication Protocol for Vehicle Ad Hoc Network Based on PUF-Obfuscation.

Jiaquan Song1, Xiaofang Wang1, Pengfei Lu1

  • 1College of Information Science and Technology, Shihezi University, Shihezi 832003, China.

Sensors (Basel, Switzerland)
|May 27, 2026
PubMed
Summary

This study introduces a secure authentication protocol for Vehicle-to-Everything (V2X) communication using Elliptic Curve Cryptography and Self-Adaption Deviation Locking Physical Unclonable Functions (SDL PUFs). The protocol enhances security against machine learning attacks and reduces communication latency in vehicular networks.

Keywords:
CRP obfuscationSDL PUFV2X communicationdecentralized anonymous authenticationdeep learning attack resiliencemachine learning attack resilience

Related Experiment Videos

Last Updated: May 28, 2026

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

Area of Science:

  • Computer Science
  • Cybersecurity
  • Networking

Background:

  • Intelligent Transportation Systems (ITSs) require secure Vehicle-to-Everything (V2X) communication.
  • Existing Physical Unclonable Function (PUF)-based authentication schemes face modeling vulnerabilities and high overheads.

Purpose of the Study:

  • To propose a decentralized, dynamic, and anonymous authentication protocol for Vehicular Ad Hoc Networks (VANETs).
  • To enhance security against machine learning (ML) and deep learning (DL) attacks while ensuring efficiency.

Main Methods:

  • Integration of Elliptic Curve Cryptography (ECC) with Self-Adaption Deviation Locking PUFs (SDL PUFs).
  • Implementation of a dynamic Challenge-Response Pair (CRP) obfuscation mechanism.
  • Formal security verification using the Real-or-Random (ROR) model and AVISPA tool.
  • Performance evaluation using SUMO and Omnetpp simulations.

Main Results:

  • Reduced ML/DL attack prediction success rate by approximately 35% compared to raw SDL PUFs.
  • Achieved low computational overhead (6.77 ms per entity) and communication cost (192 bytes).
  • Ensured identity untraceability and forward secrecy.

Conclusions:

  • The proposed protocol offers superior robustness against advanced modeling attacks in V2X environments.
  • The protocol is efficient and suitable for resource-constrained VANETs, improving V2X communication security and performance.