Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Xuchang Wang

dblp:343/0598 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Cyber-physical and IoT security › iot security
iot platform security
0.712023
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
0.212023
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
YearPublicationVenuePosition
2023 SmartPatch: Verifying the Authenticity of the Trigger-Event in the IoT Platform
abstract
Emerging 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