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Shuangxi Hong

dblp:186/4519 · DBLP profile ↗
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4ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0002-7773-7241ORCID · corroborated

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

Computer networks · 3 · 1 first-author · 1 since 2021Artificial intelligence and machine learning · 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
2 papers
Authentication and access control · 37% Web and mobile security · 37% Privacy and data protection · 20%
Software engineering, system software, and programming languages
1 paper
Operating systems · 100%

Topics — the 4 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Authentication and access control › authorization
fine-grained privilege control
0.312017
Poster: Sdguard: An Android Application Implementing Privacy Protection and Ransomware Detection · MobiSys 2017
Privacy and data protection
mobile privacy
0.312017
Poster: Sdguard: An Android Application Implementing Privacy Protection and Ransomware Detection · MobiSys 2017
Web and mobile security
mobile security
0.312017
Poster: Sdguard: An Android Application Implementing Privacy Protection and Ransomware Detection · MobiSys 2017
Authentication and access control › access control
context-aware access control
0.212016
EasyGuard: enhanced context-aware adaptive access control system for android platform: poster · MobiCom 2016

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

Linux DAC · 0.6FUSE filesystem · 0.6context detection · 0.2
YearPublicationVenuePosition
2025 Secure and Efficient Authentication Protocol for Supply Chain Systems in Artificial-Intelligence-Based Internet of Things
abstract
With the rapid development of globalization and technology, the industrial structure has undergone profound changes and market competition is becoming increasingly fierce. In order to enhance their competitive advantage, enterprises are integrating resources through supply chain systems (SCS) and establishing strategic partnerships to achieve rapid market response and optimized resource allocation. Artificial Intelligence (AI) -based Internet of Things (IoT) has brought unprecedented changes to supply chain systems. AIoT not only improves the transparency and efficiency of the supply chain, but also significantly reduces carbon emissions, making a positive contribution to green and sustainable development. However, with the widespread application of AIoT in SCS, its security issues have become increasingly prominent, posing a serious threat to the stable operation of the supply chain. Therefore, this article proposes a secure and efficient authentication protocol for supply chain systems in AIoT. This protocol implements user authentication, ensures forward security of session key and guarantees secure data transmission. Through security analysis, this article proves that the protocol can resist various known attacks. In addition, through performance analysis, the protocol has low overhead and can meet the efficiency requirements of SCS.
Junfeng Miao, Xin Ning 0001, Shuangxi Hong, Lanlan Wang
IEEE Internet Things J.3
2022 Practical multi-party private collaborative k-means clustering
En Zhang, Shuangxi Hong, Congmin Ji
Neurocomputing4
2017 Poster: Sdguard: An Android Application Implementing Privacy Protection and Ransomware Detection
abstract
Currently, the smartphone has become an essential communication and amusement tool, which has strong computing power and a variety of functions. Especially, the market share of smartphone with android system account for 84% in 2016[1]. Under android system, a large of privacy data (e.g. photos or videos) are stored in external storage (emulated Sdcard storage), which can be accessed by installed apps. This not only results in privacy leakage but also incurs ransomware attack[2] (e.g. simplocker). Therefore, we present Sdguard, an app, can implement fine-grain permission control based on Linux DAC mechanism and detect ransomware which encrypts content of file stored in external storage or lock user screen. To install Sdguard app, we need to ensure that the smartphone has been rooted and use FUSE filesystem on external storage. During installing, sdcard daemon of android (i.e. FUSE daemon) is replaced by our customized sdcard daemon. After rebooting system, the customized daemon is loaded, and each component of Sdguard is running.
Shuangxi Hong, Chuanchang Liu, Bingfei Ren, Junliang Chen 0001
MobiSys1
2016 EasyGuard: enhanced context-aware adaptive access control system for android platform: poster
abstract
Applications in Android often have the ability of accessing sensitive resources on mobile devices. These resources have different levels of security and usage constraint in scenarios which have different requirements for privacy. Therefore, it is in demand for users to have fine-grained privacy protection and resources usage constraint that taking the context information into account, which is not supported by inherent access control mechanism of Android. To address these issues, we designed and implemented an enhanced context-aware adaptive access control system (EasyGuard) in Android to provide adaptive access control automatically when the specific context is detected according to the pre-configured policies. In addition, we developed an application to facilitate users that have little domain knowledge in android to configure policies reasonably. Experimental results show that users can easily protect their privacy, security and save energy of mobile devices through this system.
Bingfei Ren, Chuanchang Liu, Bo Cheng 0001, Shuangxi Hong, Shuai Zhao 0001, Junliang Chen 0001
MobiCom4