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Computer Science

D-Index
39
Citations
5625
World Ranking
9850
National Ranking
4148

Research.com Recognitions

  • 2016 - ACM Distinguished Member
  • 2011 - ACM Senior Member

Overview

Raheem Beyah is affiliated with the Georgia Institute of Technology in the United States and has a research focus primarily within the field of Computer Science. Their scholarly contributions span various subfields, including Signal Processing, Information Systems, Artificial Intelligence, Software, and Control and Systems Engineering.

Themes prominent in their research include Advanced Malware Detection Techniques, Adversarial Robustness in Machine Learning, Software Engineering Research, Software Testing and Debugging Techniques, Security and Verification in Computing, Software Reliability and Analysis Research, and Smart Grid Security and Resilience.

Some of their recent published papers include:

  • A Large-Scale Empirical Study on the Vulnerability of Deployed IoT Devices, 2020, IEEE Transactions on Dependable and Secure Computing
  • Multi-Color 3D Printing via Single-Vat Grayscale Digital Light Processing, 2022, Advanced Functional Materials
  • V-Fuzz: Vulnerability Prediction-Assisted Evolutionary Fuzzing for Binary Programs, 2020, IEEE Transactions on Cybernetics
  • UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers, 2020, arXiv (Cornell University)

Frequent co-authors collaborating with Raheem Beyah include Shouling Ji, Xuhong Zhang, Chenyang Lyu, Ting Wang, and Qinying Wang.

The primary venues where Raheem Beyah's work has appeared are:

  • arXiv (Cornell University)
  • IEEE Transactions on Dependable and Secure Computing
  • IEEE Transactions on Cybernetics
  • 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)
  • Advanced Functional Materials

Raheem Beyah has been recognized with professional distinctions including the ACM Senior Member in 2011 and the ACM Distinguished Member in 2016.

Best Publications

  • Acing the IOC Game: Toward Automatic Discovery and Analysis of Open-Source Cyber Threat Intelligence

    Xiaojing Liao;Kan Yuan;XiaoFeng Wang;Zhou Li

  • GTID: A Technique for Physical Device and Device Type Fingerprinting

    Sakthi Vignesh Radhakrishnan;A. Selcuk Uluagac;Raheem Beyah

  • Who's in Control of Your Control System? Device Fingerprinting for Cyber-Physical Systems.

    David Formby;Preethi Srinivasan;Andrew M. Leonard;Jonathan D. Rogers

  • Rogue access point detection using temporal traffic characteristics

    R. Beyah;S. Kangude;G. Yu;B. Strickland

  • Graph Data Anonymization, De-Anonymization Attacks, and De-Anonymizability Quantification: A Survey

    Shouling Ji;Prateek Mittal;Raheem A. Beyah

  • SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems

    Tianyu Du;Shouling Ji;Jinfeng Li;Qinchen Gu

  • Structural Data De-anonymization: Quantification, Practice, and Implications

    Shouling Ji;Weiqing Li;Mudhakar Srivatsa;Raheem Beyah

  • {MOPT}: Optimized Mutation Scheduling for Fuzzers

    Chenyang Lyu;Shouling Ji;Chao Zhang;Yuwei Li

  • SecGraph: a uniform and open-source evaluation system for graph data anonymization and de-anonymization

    Shouling Ji;Weiqing Li;Prateek Mittal;Xin Hu

  • A passive approach to wireless device fingerprinting

    Ke Gao;Cherita Corbett;Raheem Beyah

  • P3D: A parallel 3D coordinate visualization for advanced network scans

    Troy Nunnally;Penyen Chi;Kulsoom Abdullah;A. Selcuk Uluagac

  • A Passive Approach to Rogue Access Point Detection

    L. Watkins;R. Beyah;C. Corbett

  • On Your Social Network De-anonymizablity: Quantification and Large Scale Evaluation with Seed Knowledge.

    Shouling Ji;Weiqing Li;Neil Zhenqiang Gong;Prateek Mittal

  • Composite Event Detection in Wireless Sensor Networks

    C.T. Vu;R.A. Beyah;Yingshu Li

  • Visual firewall: real-time network security monitor

    C.P. Lee;J. Trost;N. Gibbs;Raheem Beyah

  • Edge Computing for the Internet of Things

    Ju Ren;Yi Pan;Andrzej Goscinski;Raheem A. Beyah

  • Sensor scheduling for p-percent coverage in wireless sensor networks

    Yingshu Li;Chunyu Ai;Zhipeng Cai;Raheem Beyah

  • Structure Based Data De-Anonymization of Social Networks and Mobility Traces

    Shouling Ji;Weiqing Li;Mudhakar Srivatsa;Jing Selena He

  • Snapshot and Continuous Data Collection in Probabilistic Wireless Sensor Networks

    Shouling Ji;Raheem Beyah;Zhipeng Cai

  • VEBEK: Virtual Energy-Based Encryption and Keying for Wireless Sensor Networks

    A Selcuk Uluagac;Raheem A Beyah;Yingshu Li;John A Copeland

  • Multi‐Color 3D Printing via Single‐Vat Grayscale Digital Light Processing

    Unknown

Frequent Co-Authors

Shouling Ji
Shouling Ji Zhejiang University
John A. Copeland
John A. Copeland Georgia Institute of Technology
Ting Wang
Ting Wang Washington University in St. Louis
Yingshu Li
Yingshu Li Georgia State University
Zhipeng Cai
Zhipeng Cai Georgia State University
Prateek Mittal
Prateek Mittal Princeton University
Xiaofeng Wang
Xiaofeng Wang Free University of Bozen-Bolzano
Mudhakar Srivatsa
Mudhakar Srivatsa IBM (United States)
Yi Pan
Yi Pan Shenzhen Institutes of Advanced Technology
Raghupathy Sivakumar
Raghupathy Sivakumar Georgia Institute of Technology

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