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Hongshuang Hu

dblp:256/2518 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0002-1704-2552ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Authentication and access control · 50% Network security · 50%
Computer networks
1 paper
Wireless sensing and localization · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Authentication and access control
device pairing
0.712023
Attacks on Acceleration-Based Secure Device Pairing With Automatic Visual Tracking · IEEE Trans. Inf. Forensics Secur. 2023
Network security › attack strategy
man-in-the-middle attack
0.712023
Attacks on Acceleration-Based Secure Device Pairing With Automatic Visual Tracking · IEEE Trans. Inf. Forensics Secur. 2023

Methods — techniques the papers use, named apart from their topics

automatic visual tracking · 1.3
YearPublicationVenuePosition
2023 Attacks on Acceleration-Based Secure Device Pairing With Automatic Visual Tracking
abstract
In an acceleration-based Secure Device Pairing (SDP) scheme, two unauthenticated devices continuously measure their own acceleration. If the similarity of their measurements are sufficiently high, the devices will build a secure communication channel assume that it is hard for any attacker to estimate their measurements in real-time. This paper demonstrates that the assumption does not hold and further proposes an effective Man-in-the-Middle (MitM) attack on acceleration-based SDP schemes. That is to say, an MitM adversary is able to quickly estimate the acceleration measurements of the target devices with automatic visual tracking technologies, and then compromise the device’s communication channel by impersonating the target devices with the estimated measurements. The present attack is extensively evaluated on acceleration-based SDP schemes in indoor and outdoor environments. The evaluation results show that the device’s acceleration can be estimated with high accuracy in real time. Thus, the present MitM attack is practical to defeat the acceleration-based SDP schemes.
Hongshuang Hu, Yongdong Wu, Jian Weng 0001, Kaimin Wei, Zhiquan Liu 0001, Feiran Huang, Yinyan Zhang
IEEE Trans. Inf. Forensics Secur.1