A5082733583- Software-Defined Networks and 5G
- Software System Performance and Reliability
- Spam and Phishing Detection
- Network Security and Intrusion Detection
- Cloud Computing and Resource Management
- Advanced Malware Detection Techniques
- Advanced Graph Neural Networks
- Expert finding and Q&A systems
- Human Mobility and Location-Based Analysis
- Topic Modeling
- Internet Traffic Analysis and Secure E-voting
- Mobile and Web Applications
- Mobile Crowdsensing and Crowdsourcing
Duke University
2023
Fudan University
2018-2021
Service meshes play a central role in the modern application ecosystem by providing an easy and flexible way to connect microservices of distributed application. However, because how they interpose on traffic, can substantially increase latency its resource consumption. We develop tool called MeshInsight help developers quantify overhead service deployment scenarios interest make informed trade-offs about their functionality vs. overhead. Using MeshInsight, we confirm that have high...
Service meshes play a central role in the modern application ecosystem by providing an easy and flexible way to connect different services that form distributed application. However, because of they interpose on traffic, can substantially increase latency resource consumption. We develop decompositional approach tool, called MeshInsight, systematically characterize overhead service help developers quantify deployment scenarios interest. Using we confirm have high -- up 185% higher 92% more...
Google Scholar has been a widely used platform for academic performance evaluation and citation analysis. The issue about the mis-configuration of author profiles may seriously damage reliability data, thus affect accuracy Therefore, it is important to detect mis-configured profiles. Dealing with this challenging because scale dataset large manual annotation time-consuming relatively subjective. In paper, we first collect Scholar’s in field computer science compare reliable ones. Then,...
Thanks to the emergence of mobile computing technologies, location-based services (LBS) have been widely used. Massive data LBS user activities would be useful for studying human mobility and urban computing. In this paper, we design implement LBSLab, a system which facilitates large-scale collection activities, provides visualization in an informative way. LBSLab interacts with users via mini-program built WeChat app, assembling several representative location-related functions such as...
The web bots have been blamed for consuming large amount of Internet traffic and undermining the interest scraped sites years. Traditional bot detection studies focus mainly on signature-based solution, but advanced usually forge their identities to bypass such detection. With increasing cloud migration, providers provide new opportunities an effective based big data solve this issue. In paper, we present a behavior-based scheme called BotGraph that combines sitemap convolutional neural...