World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
99
Citations
45948
World Ranking
387
National Ranking
214

Research.com Recognitions

  • 2017 - ACM Fellow For contributions to systems and network security, intrusion and anomaly detection and malware analysis

Overview

Wenke Lee is affiliated with the Georgia Institute of Technology in the United States and has contributed extensively to the field of computer science, with a focus on information systems, computer networks, and communications. Their body of work spans several subfields, including artificial intelligence, signal processing, and control and systems engineering.

The main research areas addressed by Wenke Lee include network security and intrusion detection, information and cybersecurity, advanced malware detection techniques, smart grid security and resilience, blockchain technology applications and security, adversarial robustness in machine learning, and the ethics and social impacts of artificial intelligence.

Wenke Lee has published numerous papers, with selected recent works including:

  • The Threat of Offensive AI to Organizations, 2022, Computers & Security
  • Understanding and Mitigating Remote Code Execution Vulnerabilities in Cross-platform Ecosystem, 2022, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
  • Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages, 2020, arXiv (Cornell University)
  • On the Feasibility of Automating Stock Market Manipulation, 2020, Annual Computer Security Applications Conference
  • Dynamic Information Flow Tracking for Detection of Advanced Persistent Threats: A Stochastic Game Approach, 2020, arXiv (Cornell University)

The scientist frequently collaborates with a set of co-authors, including Joey Allen, Dinuka Sahabandu, Shana Moothedath, Linda Bushnell, and Radha Poovendran, each contributing to multiple works alongside Wenke Lee.

The main publication venues for Wenke Lee's research are arXiv (Cornell University), IEEE Transactions on Automatic Control, Computers & Security, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, and the Annual Computer Security Applications Conference.

Wenke Lee has been recognized as an ACM Fellow since 2017 for contributions to systems and network security, intrusion and anomaly detection, and malware analysis.

Best Publications

  • Data mining approaches for intrusion detection

    Wenke Lee;Salvatore J. Stolfo

  • A data mining framework for building intrusion detection models

    Wenke Lee;S.J. Stolfo;K.W. Mok

  • Intrusion detection in wireless ad-hoc networks

    Yongguang Zhang;Wenke Lee

  • BotMiner: clustering analysis of network traffic for protocol- and structure-independent botnet detection

    Guofei Gu;Roberto Perdisci;Junjie Zhang;Wenke Lee

  • A framework for constructing features and models for intrusion detection systems

    Wenke Lee;Salvatore J. Stolfo

  • BotSniffer: Detecting Botnet Command and Control Channels in Network Traffic

    Guofei Gu;Junjie Zhang;Wenke Lee

  • BotHunter: detecting malware infection through IDS-driven dialog correlation

    Guofei Gu;Phillip Porras;Vinod Yegneswaran;Martin Fong

  • Intrusion detection techniques for mobile wireless networks

    Yongguang Zhang;Wenke Lee;Yi-An Huang

  • Ether: malware analysis via hardware virtualization extensions

    Artem Dinaburg;Paul Royal;Monirul Sharif;Wenke Lee

  • The Creation and Detection of Deepfakes: A Survey

    Yisroel Mirsky;Wenke Lee

  • Information-theoretic measures for anomaly detection

    Wenke Lee;Dong Xiang

  • CHEX: statically vetting Android apps for component hijacking vulnerabilities

    Long Lu;Zhichun Li;Zhenyu Wu;Wenke Lee

  • Cost-based modeling for fraud and intrusion detection: results from the JAM project

    S.J. Stolfo;Wei Fan;Wenke Lee;A. Prodromidis

  • A cooperative intrusion detection system for ad hoc networks

    Yi-an Huang;Wenke Lee

  • Method and system for using intelligent agents for financial transactions, services, accounting, and advice

    Daniel Schutzer;William Hull Forster;Huanrui Hu;Wenke Lee

  • Lares: An Architecture for Secure Active Monitoring Using Virtualization

    B.D. Payne;M. Carbone;M. Sharif;Wenke Lee

  • From throw-away traffic to bots: detecting the rise of DGA-based malware

    Manos Antonakakis;Roberto Perdisci;Yacin Nadji;Nikolaos Vasiloglou

  • Anomaly detection using call stack information

    H.H. Feng;O.M. Kolesnikov;P. Fogla;W. Lee

  • Building a dynamic reputation system for DNS

    Manos Antonakakis;Roberto Perdisci;David Dagon;Wenke Lee

  • Adaptive Intrusion Detection: A Data Mining Approach

    Wenke Lee;Salvatore J. Stolfo;Kui W. Mok

  • Modeling Botnet Propagation Using Time Zones.

    David Dagon;Cliff Changchun Zou;Wenke Lee

Frequent Co-Authors

Roberto Perdisci
Roberto Perdisci University of Georgia
David Dagon
David Dagon Georgia Institute of Technology
Salvatore J. Stolfo
Salvatore J. Stolfo Columbia University
Taesoo Kim
Taesoo Kim Georgia Institute of Technology
Guofei Gu
Guofei Gu Texas A&M University
Wei Fan
Wei Fan Tencent (China)
Xiapu Luo
Xiapu Luo Hong Kong Polytechnic University
Nick Feamster
Nick Feamster University of Chicago
Radha Poovendran
Radha Poovendran University of Washington
Linda Bushnell
Linda Bushnell University of Washington

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