The
Network SystEm
Security & PrivAcy (NESA) Research Lab, directed by Dr. Shouling Ji, works at the intersection of the network systems, data
analytics, and information security fields. The lab seeks to develop theories, techniques, and systems to enable a more
secure and efficient network infrastructure, with computer systems that are more accountable and less vulnerable to
attacks and abuse.
Our current research focuses on four areas: (1) Data-Driven Security, (2) AI Security, (3) Privacy, and (4) Big Data Analysis.
11/30/2018 - Our paper “A Truthful FPTAS Mechanism for Emergency Demand Response in Colocation Data Centers” was accepted by IEEE INFOCOM 2019. Congrats to Dr. Chen!
11/17/2018 - Our paper "A Privacy-Preserving Online Learning Approach for Incentive-based Demand Response in Smart Grid" was accepted by IEEE Systems Journal (IF=4.337). Congrats!
11/16/2018 - Our paper "Video Big Data Retrieval Over Media Cloud: A Context-aware Online Learning Approach" was accepted by IEEE Transactions on Multimedia (TMM). Congrats to Yinan.
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NESA Lab looks for highly motivated undergrads, grads, and postdocs to join the group. If you are interested in our research, please come to visit our lab and/or send us your resume.
Cyber Threat/Crime Mining and Analysis; Fraud Detection and Analysis; Medical Application/Data Security and Privacy; Password Security; and CAPTCHA Security.
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Adversarial Learning; Machine Learning Security and Privacy; AI-aided Vulnerability Mining; Smart Fuzzing; and Secure Multi-Party Computing and Learning.
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Graph Privacy; Anonymization and De-anonymization; Differential Privacy; and Web Privacy..
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Social Network Computing and Analytics and Graph and Network Embedding.
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