Demo Data from EDBT 2026 / reviewers in the wild / expert
Fengyao Yan
dblp:254/5150
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
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.
| Human-computer interaction and pervasive computing
1 paper |
Ubiquitous computing and smart environments · 77% Wearable and physiological sensing · 23% | |
| Network and information security
1 paper |
Authentication and access control · 100% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Authentication and access control › device authentication
iot device authentication |
0.4 | 1 | 2019 | Touch Well Before Use: Intuitive and Secure Authentication for IoT Devices · MobiCom 2019 |
Methods — techniques the papers use, named apart from their topics
virtual sensing · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Touch Well Before Use: Intuitive and Secure Authentication for IoT DevicesabstractInternet of Things (IoT) are densely deployed in smart environments, such as homes, factories and laboratories, where many people have physical access to IoT devices. How to authenticate users operating on these devices is thus an important problem. IoT devices usually lack conventional user interfaces, such as keyboards and mice, which makes traditional authentication methods inapplicable. We present a virtual sensing technique that allows IoT devices to virtually sense user 'petting' (in the form of some very simple touches for about 2 seconds) on the devices. Based on this technique, we build a secure and intuitive authentication method that authenticates device users by comparing the petting operations sensed by devices and those captured by the user wristband. The authentication method is highly secure as physical operations are required, rather than based on proximity. It is also intuitive, adopting very simple authentication operations, e.g., clicking buttons, twisting rotary knobs, and swiping touchscreens. Unlike the state-of-the-art methods, our method does not require any hardware modifications of devices, and thus can be applied to commercial off-the-shelf (COTS) devices. We build prototypes and evaluate them comprehensively, demonstrating their high effectiveness, security, usability, and efficiency. Xiaopeng Li 0001, Fengyao Yan, Fei Zuo, Qiang Zeng 0001, Lannan Luo |
MobiCom | 2 |