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Dive into the research topics where Yongjun Xu is active.

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Featured researches published by Yongjun Xu.


IEEE Transactions on Vehicular Technology | 2016

2FLIP: A Two-Factor Lightweight Privacy-Preserving Authentication Scheme for VANET

Fei Wang; Yongjun Xu; Hanwen Zhang; Yujun Zhang; Liehuang Zhu

Authentication in a vehicular ad-hoc network (VANET) requires not only secure and efficient authentication with privacy preservation but applicable flexibility to handle complicated transportation circumstances as well. In this paper, we proposed a Two-Factor LIghtweight Privacy-preserving authentication scheme (2FLIP) to enhance the security of VANET communication. 2FLIP employs the decentralized certificate authority (CA) and the biological-password-based two-factor authentication (2FA) to achieve the goals. Based on the decentralized CA, 2FLIP only requires several extremely lightweight hashing processes and a fast message-authentication-code operation for message signing and verification between vehicles. Compared with previous schemes, 2FLIP significantly reduces computation cost by 100-1000 times and decreases communication overhead by 55.24%-77.52%. Furthermore, any certificate revocation list (CRL)-related overhead on vehicles is avoided. 2FLIP makes the scheme resilient to denial-of-service attack in both computation and memory, which is caused by either deliberate invading behaviors or jammed traffic scenes. The proposed scheme provides strong privacy preservation that the adversaries can never succeed in tracing any vehicles, even with all RSUs compromised. Moreover, it achieves strong nonrepudiation that any biological anonym driver could be conditionally traced, even if he is not the only driver of the vehicle. Extensive simulations reveal that 2FLIP is feasible and has an outstanding performance of nearly 0-ms network delay and 0% packet-loss ratio, which are particularly appropriate for real-time emergency reporting applications.


Computing | 2016

LESPP: lightweight and efficient strong privacy preserving authentication scheme for secure VANET communication

Mingzhong Wang; Dan Liu; Liehuang Zhu; Yongjun Xu; Fei Wang

Authentication in vehicular ad-hoc network (VANET) is still a research challenge, as it requires not only secure and efficient authentication, but also privacy preservation. In this paper, we proposed a lightweight and efficient authentication scheme (LESPP) with strong privacy preservation for secure VANET communication. The proposed scheme utilizes self-generated pseudo identity to guarantee both privacy preservation and conditional traceability, and it only requires a lightweight symmetric encryption and message authentication code (MAC) generation for message signing and a fast MAC re-generation for verification. Compared with currently existing public key based schemes, the proposed scheme significantly reduces computation cost by


International Journal of Distributed Sensor Networks | 2013

A PEFKS- and CP-ABE-Based Distributed Security Scheme in Interest-Centric Opportunistic Networks

Fei Wang; Yongjun Xu; Lin Wu; Longyijia Li; Dan Liu; Liehuang Zhu


International Journal of Distributed Sensor Networks | 2015

Improving both energy and time efficiency of depth-based routing for underwater sensor networks

Boyu Diao; Yongjun Xu; Zhulin An; Fei Wang; Chao Li

10^2


Journal of Navigation | 2017

Mapping Global Shipping Density from AIS Data

Lin Wu; Yongjun Xu; Qi Wang; Fei Wang; Zhiwei Xu


IEEE Sensors Journal | 2016

DBR-MAC: A Depth-Based Routing Aware MAC Protocol for Data Collection in Underwater Acoustic Sensor Networks

Chao Li; Yongjun Xu; Boyu Diao; Qi Wang; Zhulin An

102–


2014 International Conference on Computing, Networking and Communications (ICNC) | 2014

A DoS-resilient enhanced two-factor user authentication scheme in wireless sensor networks

Fei Wang; Yujun Zhang; Yongjun Xu; Lin Wu; Boyu Diao


IEEE Transactions on Industrial Informatics | 2017

TDMA Versus CSMA/CA for Wireless Multihop Communications: A Stochastic Worst-Case Delay Analysis

Qi Wang; Katia Jaffrès-Runser; Yongjun Xu; Jean-Luc Scharbarg; Zhulin An; Christian Fraboul

10^3


International Journal of Distributed Sensor Networks | 2013

OPCPP: An Online Plug-Configure-Play Experiment Platform for WSN

Wei Lin; XueHai Hong; ChaoNong Xu; Yongjun Xu; Dengchang Zhao


Computing | 2004

Limit Values of Derivatives of the Cauchy Integrals and Computation of the Logarithmic Potentials

Yongjun Xu; H.-L. Chen; Qionghui Zou

103 times and decreases communication overhead by 41.33–77.60xa0%, thus achieving resilience to denial of service (DoS) attack. In LESPP, only key management center can expose a vehicle’s real identity from its pseudo identity, therefore, LESPP provides strong privacy preservation so that the adversaries cannot trace any vehicles, even if all roadside units are compromised. Furthermore, vehicles in LESPP need not maintain certificate revocation list (CRL), so any CRL related overhead is avoided. Extensive simulations reveal that the novel scheme is feasible and has an outstanding performance of nearly 0xa0ms network delay and 0xa0% packet loss ratio, which are especially appropriate for realtime emergency event reporting applications.

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Fei Wang

Chinese Academy of Sciences

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Lin Wu

Chinese Academy of Sciences

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Zhulin An

Chinese Academy of Sciences

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Boyu Diao

Chinese Academy of Sciences

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Qi Wang

Chinese Academy of Sciences

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Chao Li

Chinese Academy of Sciences

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ChaoNong Xu

China University of Petroleum

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Liehuang Zhu

Beijing Institute of Technology

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Dan Liu

Beijing Institute of Technology

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Yujun Zhang

Chinese Academy of Sciences

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