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Duo Lu
Researcher at Arizona State University
Publications - 18
Citations - 283
Duo Lu is an academic researcher from Arizona State University. The author has contributed to research in topics: Interface (computing) & Password. The author has an hindex of 8, co-authored 18 publications receiving 184 citations. Previous affiliations of Duo Lu include Arizona's Public Universities.
Papers
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Proceedings ArticleDOI
A Secure Microservice Framework for IoT
TL;DR: It is argued that a microservice approach to building IoT systems can combine in a mutually enforcing way with patterns for microservices, API gateways, distribution of services, uniform service discovery, containers, and access control.
Proceedings ArticleDOI
A Defense System for Defeating DDoS Attacks in SDN based Networks
TL;DR: This paper proposes a secure system that periodically collects network statistics from the forwarding elements and applies Machine Learning (ML) classification algorithms to make the SDN architecture more self-adaptive, and intelligent while reacting to network changes.
Proceedings ArticleDOI
A data driven in-air-handwriting biometric authentication system
Duo Lu,Kai Xu,Dijiang Huang +2 more
TL;DR: A new finger-gesture-based authentication method, where the in-air-handwriting of each user is captured by wearable inertial sensors, which delivers a significant performance improvement compared to the existing gesture-based biometric authentication systems.
Proceedings ArticleDOI
Personalized Learning in a Virtual Hands-on Lab Platform for Computer Science Education
TL;DR: By leveraging the personalized lab platform for a senior level cybersecurity course, the presented solution improves students engagement with better understanding of lab assignments, spending more effort on hands-on projects, and thus greatly enhancing learning outcomes.
Proceedings ArticleDOI
VC-bots: a vehicular cloud computing testbed with mobile robots
TL;DR: This paper proposed VC-bots, a vehicular cloud testbed using mobile robot vehicles, which can emulate different types of vehicles for testing vehicular network protocols and Vehicular cloud applications in various scenarios, and developed a message based service framework for applications running on the robot vehicle and in the cloud.