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Jinhua Guo

Researcher at University of Michigan

Publications -  42
Citations -  1282

Jinhua Guo is an academic researcher from University of Michigan. The author has contributed to research in topics: Vehicular ad hoc network & Wireless ad hoc network. The author has an hindex of 17, co-authored 40 publications receiving 1226 citations. Previous affiliations of Jinhua Guo include University of Georgia.

Papers
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Proceedings ArticleDOI

A Group Signature Based Secure and Privacy-Preserving Vehicular Communication Framework

TL;DR: A probabilistic signature verification scheme that can efficiently detect the tampered messages or the messages from an unauthorized node and describe a scalable role-based access control approach for vehicular networks.
Journal ArticleDOI

PAPR Reduction of OFDM Signals Using Partial Transmit Sequences With Low Computational Complexity

TL;DR: This work proposes a novel scheme, which is based on a nonlinear optimization approach named as simulated annealing (SA), to search the optimal combination of phase factors with low complexity, and shows that the proposed schemes can achieve significant reduction in computational complexity while keeping good PAPR reduction.
Journal ArticleDOI

Security Challenge and Defense in VoIP Infrastructures

TL;DR: This paper examines and investigates the concerns and requirements of VoIP security, focuses on attacks and countermeasures unique to VoIP systems that are essential for current and future VoIP implantations, and analyzes two popular industry best practices for securing VoIP networks.
Proceedings ArticleDOI

Increasing broadcast reliability in vehicular ad hoc networks

TL;DR: An adaptive broadcast protocol is presented that improves the reception rates of broadcast messages and relies on the observation that a node in a VANET is able to detect network congestion by simply analyzing the sequence numbers of packets it has recently received.
Proceedings ArticleDOI

Channel Adaptive One Hop Broadcasting for VANETs

TL;DR: A channel adaptive broadcasting method that relies solely on channel condition information available at each vehicle by employing standard supported sequence number mechanisms and outperforms standard broadcasting in terms of reception rate and channel utilization is proposed.