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D-Index & Metrics

Computer Science

D-Index
53
Citations
11469
World Ranking
4818
National Ranking
69

Overview

Aditya P. Mathur is affiliated with the Singapore University of Technology and Design in Singapore. Their primary fields of study include Computer Science and Engineering, with notable contributions to subfields such as Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, and Signal Processing.

The scientist's research predominantly focuses on topics including Smart Grid Security and Resilience, Network Security and Intrusion Detection, Anomaly Detection Techniques and Applications, Advanced Malware Detection Techniques, Physical Unclonable Functions (PUFs) and Hardware Security, Electrostatic Discharge in Electronics, and Adversarial Robustness in Machine Learning.

Aditya P. Mathur's recent research publications include:

  • Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations (2022), International Journal of Critical Infrastructure Protection
  • A multilayer perceptron model for anomaly detection in water treatment plants (2020), International Journal of Critical Infrastructure Protection
  • Machine learning for intrusion detection in industrial control systems: challenges and lessons from experimental evaluation (2021), Cybersecurity
  • Deep autoencoders as anomaly detectors: Method and case study in a distributed water treatment plant (2020), Computers & Security
  • Cascading effects of cyber-attacks on interconnected critical infrastructure (2021), Cybersecurity

The frequent co-authors collaborating with Aditya P. Mathur are:

  • M. R. Gauthama Raman
  • Sridhar Adepu
  • Chuadhry Mujeeb Ahmed
  • Siddhant Shrivastava
  • Muhammad Umer

The scientist has published regularly in recognized venues, including:

  • International Journal of Critical Infrastructure Protection
  • International Journal of Pharmaceutical Sciences Review and Research
  • Cybersecurity
  • Computers & Security
  • Lecture Notes in Computer Science

Aditya P. Mathur has contributed to book publications with Springer Nature, notably the work titled Computational and Experimental Methods in Mechanical Engineering published in 2021.

Best Publications

  • Effect of test set minimization on fault detection effectiveness

    W. Eric Wong;Joseph R. Horgan;Saul London;Aditya P. Mathur

  • SWaT: a water treatment testbed for research and training on ICS security

    Aditya P. Mathur;Nils Ole Tippenhauer

  • A Survey of Malware Detection Techniques

    Nwokedi Idika;Aditya P. Mathur

  • A Dataset to Support Research in the Design of Secure Water Treatment Systems

    Jonathan Goh;Sridhar Adepu;Khurum Nazir Junejo;Aditya Mathur

  • WADI: a water distribution testbed for research in the design of secure cyber physical systems

    Chuadhry Mujeeb Ahmed;Venkata Reddy Palleti;Aditya P. Mathur

  • DESIGN OF MUTANT OPERATORS FOR THE C PROGRAMMING LANGUAGE

    Hiralal Agrawal;Richard A. DeMillo;Bob Hathaway;William Hsu

  • Interface Mutation: an approach for integration testing

    M.E. Delamaro;J.C. Maidonado;A.P. Mathur

  • Foundations of Software Testing

    Aditya P. Mathur

  • Reducing the cost of mutation testing: an empirical study

    W. Eric Wong;Aditya P. Mathur

  • On the estimation of reliability of a software system using reliabilities of its components

    S. Krishnamurthy;A.P. Mathur

  • Automated test data generation using an iterative relaxation method

    Neelam Gupta;Aditya P. Mathur;Mary Lou Soffa

  • Test set size minimization and fault detection effectiveness: a case study in a space application

    W.E. Wong;J.R. Horgan;A.P. Mathur;A. Pasquini

  • Performance, effectiveness, and reliability issues in software testing

    A.P. Mathur

  • An empirical comparison of data flow and mutation‐based test adequacy criteria

    Aditya P. Mathur;W. Eric Wong

  • Generating test data for branch coverage

    N. Gupta;A.P. Mathur;M.L. Soffa

  • Aligning Cyber-Physical System Safety and Security

    Giedre Sabaliauskaite;Aditya P. Mathur

  • Machine Learning for Intrusion Detection in Industrial Control Systems: Applications, Challenges, and Recommendations

    Unknown

  • Test set size minimization and fault detection effectiveness: a case study in a space application

    W. Eric Wong;Joseph R. Horgan;Aditya P. Mathur;Alberto Pasquini

  • Comparison of architecture-based software reliability models

    K. Goseva-Popstojanova;A.P. Mathur;K.S. Trivedi

  • TABOR: A Graphical Model-based Approach for Anomaly Detection in Industrial Control Systems

    Qin Lin;Sridha Adepu;Sicco Verwer;Aditya Mathur

  • An overview of software cybernetics

    Kai-Yuan Cai;J.W. Cangussu;R.A. DeCarlo;A.P. Mathur

Frequent Co-Authors

W. Eric Wong
W. Eric Wong The University of Texas at Dallas
Jianying Zhou
Jianying Zhou Singapore University of Technology and Design
Luo Si
Luo Si Alibaba Group (China)
Wenliang Du
Wenliang Du Syracuse University
Arif Ghafoor
Arif Ghafoor Purdue University West Lafayette
Mary Lou Soffa
Mary Lou Soffa University of Virginia
José Carlos Maldonado
José Carlos Maldonado Universidade de São Paulo
Kishor S. Trivedi
Kishor S. Trivedi Duke University
Robert M. Hierons
Robert M. Hierons University of Sheffield
Eugene H. Spafford
Eugene H. Spafford Purdue University West Lafayette

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