Demo Data from SIGIR 2026 / reviewers in the wild / expert
Xuchang Wang
dblp:343/0598
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 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 |
Cyber-physical and IoT security · 100% | |
| Computer networks
1 paper |
Internet of things and sensor networks · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cyber-physical and IoT security › iot security
iot platform security |
0.7 | 1 | 2023 | SmartPatch: Verifying the Authenticity of the Trigger-Event in the IoT Platform · IEEE Trans. Dependable Secur. Comput. 2023 |
Internet of things and sensor networks › iot architecture
cloud-assisted iot |
0.2 | 1 | 2023 | SmartPatch: Verifying the Authenticity of the Trigger-Event in the IoT Platform · IEEE Trans. Dependable Secur. Comput. 2023 |
Methods — techniques the papers use, named apart from their topics
automated program patching · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | SmartPatch: Verifying the Authenticity of the Trigger-Event in the IoT PlatformabstractEmerging IoT clouds are playing a more important role in modern lives, enabling users/developers to program applications to make better use of smart devices. However, preliminary research has shown IoT cloud vulnerabilities could expose IoT users to security risks. To better understand the problem, we studied the SmartThings cloud, one of the most popular IoT cloud platforms that support user-defined device automation (SmartApps). Specifically, we found new vulnerabilities in SmartThings that allow attackers to fake events to trigger the SmartApps to operate devices (e.g., open a lock). Exploiting such vulnerabilities, we successfully faked 7 different types of events, which impact 138 (out of 187) SmartThings’ official open-sourced SmartApps. To defeat such attacks, we propose an authenticity-verification-based scheme to deny fake events. Moreover, we designed a tool,SmartPatch, to help users secure their SmartThings systems. In specific,SmartPatchautomatically patches the vulnerable SmartApps and Device Handlers (input) and outputs the flawless programs, which are ready for users to deploy in their SmartThings systems. We have madeSmartPatchpublicly available. With the help ofSmartPatch, we patched all the vulnerable SmartThings’ official open-sourced programs (146 SmartApps and 321 Device Handlers). Experiments have shown the compatibility, effectiveness, and efficiency of our proposed approach. Bin Yuan 0002, Maogen Yang, Luyi Xing, Xuchang Wang, Deqing Zou, Hai Jin 0001 |
IEEE Trans. Dependable Secur. Comput. | 5 |