World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
7608
World Ranking
10576
National Ranking
4428

Overview

Xinming Ou is affiliated with the University of South Florida in the United States. Their primary field of study is Computer Science, with research extending into several key subfields including Information Systems, Computer Networks and Communications, Signal Processing, Control and Systems Engineering, and Artificial Intelligence.

Their research primarily addresses topics related to Network Security and Intrusion Detection, Advanced Malware Detection Techniques, and Software Engineering Research. Additional areas of interest include Smart Grid Security and Resilience, Anomaly Detection Techniques and Applications, Infrastructure Resilience and Vulnerability Analysis, as well as Risk and Safety Analysis.

Xinming Ou has contributed to multiple publication venues. Frequent venues include:

  • arXiv (Cornell University)
  • Sustainable Cities and Society
  • IEEE Transactions on Dependable and Secure Computing
  • Human Organization

Recent published papers by Xinming Ou include:

  • "Cyber-physical-social interdependencies and organizational resilience: A review of water, transportation, and cyber infrastructure systems and processes," 2020, Sustainable Cities and Society
  • "Towards Optimal Triage and Mitigation of Context-Sensitive Cyber Vulnerabilities," 2022, IEEE Transactions on Dependable and Secure Computing
  • "A First Step Towards Understanding Real-world Attacks on IoT Devices," 2020, arXiv (Cornell University)
  • "What are Attackers after on IoT Devices? An approach based on a multi-phased multi-faceted IoT honeypot ecosystem and data clustering," 2021, arXiv (Cornell University)
  • "Co-Creation in Secure Software Development: Applied Ethnography and the Interface of Software and Development," 2023, Human Organization

The scientist has collaborated frequently with several co-authors. Prominent collaborators include Armin Ziaie Tabari, Anoop Singhal, Jay Ligatti, Shima Mohebbi, and Qiong Zhang.

Best Publications

  • Amandroid: A Precise and General Inter-component Data Flow Analysis Framework for Security Vetting of Android Apps

    Fengguo Wei;Sankardas Roy;Xinming Ou;Robby

  • A scalable approach to attack graph generation

    Xinming Ou;Wayne F. Boyer;Miles A. McQueen

  • MulVAL: a logic-based network security analyzer

    Xinming Ou;Sudhakar Govindavajhala;Andrew W. Appel

  • Deep Ground Truth Analysis of Current Android Malware

    Fengguo Wei;Yuping Li;Sankardas Roy;Xinming Ou

  • Using Bayesian networks for cyber security analysis

    Peng Xie;Jason H Li;Xinming Ou;Peng Liu

  • Towards a Theory of Moving Target Defense

    Rui Zhuang;Scott A. DeLoach;Xinming Ou

  • Identifying Critical Attack Assets in Dependency Attack Graphs

    Reginald E. Sawilla;Xinming Ou

  • An empirical study on using the national vulnerability database to predict software vulnerabilities

    Su Zhang;Doina Caragea;Xinming Ou

  • Cyber SA : situational awareness for cyber defense

    Paul Barford;Marc Dacier;Thomas G. Dietterich;Matt Fredrikson

  • Aggregating vulnerability metrics in enterprise networks using attack graphs

    John Homer;Su Zhang;Xinming Ou;David Schmidt

  • Theorem Proving Using Lazy Proof Explication

    Cormac Flanagan;Rajeev Joshi;Xinming Ou;James B. Saxe

  • Security Risk Analysis of Enterprise Networks Using Probabilistic Attack Graphs

    Anoop Singhal;Xinming Ou

  • Dynamic Typing with Dependent Types

    Xinming Ou;Gang Tan;Yitzhak Mandelbaum;David Walker

  • Improving Attack Graph Visualization through Data Reduction and Attack Grouping

    John Homer;Ashok Varikuti;Xinming Ou;Miles A. Mcqueen

  • Cyber-physical-social interdependencies and organizational resilience: A review of water, transportation, and cyber infrastructure systems and processes

    Shima Mohebbi;Qiong Zhang;E. Christian Wells;Tingting Zhao

  • Simulation-based Approaches to Studying Effectiveness of Moving-Target Network Defense | NIST

    Rui Zhuang;Su Zhang;Scott DeLoach;Xinming Ou

  • After we knew it: empirical study and modeling of cost-effectiveness of exploiting prevalent known vulnerabilities across IaaS cloud

    Su Zhang;Xinwen Zhang;Xinming Ou

  • Investigating the application of moving target defenses to network security

    Rui Zhuang;Su Zhang;Alex Bardas;Scott A. DeLoach

  • Experimental Study with Real-world Data for Android App Security Analysis using Machine Learning

    Sankardas Roy;Jordan DeLoach;Yuping Li;Nic Herndon

  • Android Malware Clustering through Malicious Payload Mining

    Yuping Li;Jiyong Jang;Xin Hu;Xinming Ou

  • Distilling critical attack graph surface iteratively through minimum-cost SAT solving

    Heqing Huang;Su Zhang;Xinming Ou;Atul Prakash

Frequent Co-Authors

Scott A. DeLoach
Scott A. DeLoach Kansas State University
Weimin Zheng
Weimin Zheng Tsinghua University
Andrew W. Appel
Andrew W. Appel Princeton University
Cormac Flanagan
Cormac Flanagan University of California, Santa Cruz
Gang Tan
Gang Tan Pennsylvania State University
Atul Prakash
Atul Prakash University of Michigan–Ann Arbor
David Walker
David Walker Princeton University
Xinwen Zhang
Xinwen Zhang Samsung (South Korea)
John Hatcliff
John Hatcliff Kansas State University
Dawn Song
Dawn Song University of California, Berkeley

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