I'm Yu Liu.

Ph.D student of Computer Science at WPI

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ABOUT

Welcome to my page. I'm Yu, a second year Ph.D student at WPI. My major research interest lies in Cybersecurity. Though internet is already one of the most important basic infrastructure of the world, it keeps growing up and will reach to the status that all physical instances are connected. (Internet Of Things). Attackers will have more resources and targets, and get more benefits from malicious activities. Network complexity will also impede defense. Therefore, creating a cosy internet environment for people, by removing their concerns about privacy and security, will become extremely important.


Education

Zhengzhou University (China), Bachelor, Communication Engineer, 2011.8-2015.6

University of Delaware, Master, Electrical & Computer Engineer, 2015.8-2017.6

Worcester Polytech Institute, Ph.D, advised by Dr. Craig Shue, Computer Science, 2017.6-today


Research Interest & Activities

Cybersecurity: Residential network security (IOT Security)

SDN (Software Defined Network)

Computer Network

Operating System

ALAS Lab(Applied Logic and Security)


Experience

Research Assistant at University of Delaware

Time: Jun 2016 - Feb 2017

Advisor: Andrew Novocin

Role: Team leader

Topic: Embed fingerprint recognition into ATM machines.

Research Assistant at WPI

Time: June 2017 - Aug 2017

Advisor: Craig Shue

Role: Individual Researcher

Topic: Residential SDN network

Teaching Assistant at WPI

Time: Aug 2017 - May 2018

Courses: Operating System, Computer Network, Software Security Engineer

Work: Grading and answering questions from undergraduate students.

Research Assistant at WPI

Time: May 2018 - Current

Advisor: Craig Shue

Publication

1. Yu Liu, Curtis R. Taylor, Craig A. Shue, "Authenticating Endpoints and Vetting Connections in Residential Networks," IEEE ICNC Workshop on Computing, Networking and Communications (CNC), 2019.

[Abstract][Full Paper]

The security of residential networks can vary greatly. These networks are often administrated by end-users who may lack security expertise or the resources to adequately defend their networks. Insecure residential networks provide attackers with opportunities to infiltrate systems and create a platform for launching powerful attacks. To address these issues, we introduce a new approach that uses software-defined networking (SDN) to allow home users to outsource their security maintenance to a cloud-based service provider. Using this architecture, we show how a novel network-based two-factor authentication approach can be used to protect Internet of Things devices. Our approach works without requiring modifications to end-devices. We further show how security modules can enforce protocol messages to limit the attack surface in vulnerable devices. Our analysis shows that the system is effective and adds less than 50 milliseconds of delay to the start of a connection with less than 100 microseconds of delay for subsequent packets.

On-Going Project

Account Lockout Prevention

Contact

Email Address: yliu25@wpi.edu

QQ Number: 546271763

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