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Computer Science

D-Index
32
Citations
3844
World Ranking
13241
National Ranking
5307

Overview

Guanhua Yan is affiliated with Binghamton University in the United States. Their research spans multiple disciplines, including Computer Science and Medicine, with specific contributions in Signal Processing, Computer Networks and Communications, Neurology, Software, and Information Systems.

The primary topics of Guanhua Yan's work include:

  • Advanced Malware Detection Techniques
  • Network Security and Intrusion Detection
  • Software Testing and Debugging Techniques
  • Digital and Cyber Forensics
  • Autoimmune Neurological Disorders and Treatments
  • Peripheral Neuropathies and Disorders
  • Genetics and Neurodevelopmental Disorders

Their notable recent publications include:

  • Clinical and imaging features and treatment response of anti-NMDAR encephalitis combined with MOGAD, 2025, Journal of Clinical Neuroscience
  • EAGLE: Evasion Attacks Guided by Local Explanations Against Android Malware Classification, 2023, IEEE Transactions on Dependable and Secure Computing
  • IoTInfer: Automated Blackbox Fuzz Testing of IoT Network Protocols Guided by Finite State Machine Inference, 2022, IEEE Internet of Things Journal

Frequent co-authors collaborating with Guanhua Yan include:

  • Zhan Shu
  • De-Cai Tian
  • Xinghu Zhang
  • Huabing Wang
  • Priti Wakodikar

The research output appears regularly in venues such as:

  • IEEE Internet of Things Journal
  • IEEE Transactions on Dependable and Secure Computing
  • Journal of Clinical Neuroscience

The combination of fields and topics covered in Guanhua Yan's work reflects a multidisciplinary approach, bridging areas of computer science focused on security, testing, and network protocols with clinical studies related to neurological disorders and treatments.

Best Publications

  • Containment of misinformation spread in online social networks

    Nam P. Nguyen;Guanhua Yan;My T. Thai;Stephan Eidenbenz

  • Discriminant malware distance learning on structural information for automated malware classification

    Deguang Kong;Guanhua Yan

  • VirusMeter: Preventing Your Cellphone from Spies

    Lei Liu;Guanhua Yan;Xinwen Zhang;Songqing Chen

  • Fine-grained private matching for proximity-based mobile social networking

    Rui Zhang;Yanchao Zhang;Jinyuan Sun;Guanhua Yan

  • Malware propagation in online social networks: nature, dynamics, and defense implications

    Guanhua Yan;Guanling Chen;Stephan Eidenbenz;Nan Li

  • Privacy-Preserving Profile Matching for Proximity-Based Mobile Social Networking

    Rui Zhang;Jinxue Zhang;Yanchao Zhang;Jinyuan Sun

  • Modeling Propagation Dynamics of Bluetooth Worms (Extended Version)

    Guanhua Yan;S. Eidenbenz

  • Discriminant malware distance learning on structuralinformation for automated malware classification

    Unknown

  • Simulation of large scale networks using SSF

    Nicol;Liu;Liljenstam;Guanhua Yan

  • BotTracer: Execution-Based Bot-Like Malware Detection

    Lei Liu;Songqing Chen;Guanhua Yan;Zhao Zhang

  • Classifying Malware Represented as Control Flow Graphs using Deep Graph Convolutional Neural Network

    Jiaqi Yan;Guanhua Yan;Dong Jin

  • Chrome Extensions: Threat Analysis and Countermeasures.

    Lei Liu;Xinwen Zhang;Guanhua Yan;Songqing Chen

  • Designing a Practical Access Point Association Protocol

    Fengyuan Xu;Chiu C. Tan;Qun Li;Guanhua Yan

  • RINSE: The Real-Time Immersive Network Simulation Environment for Network Security Exercises

    Michael Liljenstam;Jason Liu;David Nicol;Yougu Yuan

  • Exploring discriminatory features for automated malware classification

    Guanhua Yan;Nathan Brown;Deguang Kong

  • The Rise of Social Botnets: Attacks and Countermeasures

    Jinxue Zhang;Rui Zhang;Yanchao Zhang;Guanhua Yan

  • Bluetooth worm propagation: mobility pattern matters!

    Guanhua Yan;Hector D. Flores;Leticia Cuellar;Nicolas Hengartner

  • Analysis of misinformation containment in online social networks

    Nam P. Nguyen;Nam P. Nguyen;Guanhua Yan;My T. Thai

  • An event buffer flooding attack in DNP3 controlled SCADA systems

    Dong Jin;David M. Nicol;Guanhua Yan

  • Towards a bayesian network game framework for evaluating DDoS attacks and defense

    Guanhua Yan;Ritchie Lee;Alex Kent;David Wolpert

  • RINSE: The Real-Time Immersive Network Simulation Environment for Network Security Exercises (Extended Version)

    Michael Liljenstam;Jason Liu;David M. Nicol;Yougu Yuan

Frequent Co-Authors

Songqing Chen
Songqing Chen George Mason University
David M. Nicol
David M. Nicol University of Illinois at Urbana-Champaign
Yanchao Zhang
Yanchao Zhang Arizona State University
Xinwen Zhang
Xinwen Zhang Samsung (South Korea)
Yang Xiao
Yang Xiao University of Alabama
My T. Thai
My T. Thai University of Florida
Shiyong Lu
Shiyong Lu Wayne State University
Jie Wu
Jie Wu Temple University
David Kotz
David Kotz Dartmouth College
Srikanth V. Krishnamurthy
Srikanth V. Krishnamurthy University of California, Riverside

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