World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
72
Citations
16879
World Ranking
1710
National Ranking
870

Research.com Recognitions

  • 2018 - ACM Fellow For contributions to methods, tools, and systems for security and privacy of data and applications
  • 2018 - Fellow, National Academy of Inventors
  • 2010 - ACM Distinguished Member
  • 2003 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1997 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For contributions to secure distributed database systems.

Overview

Bhavani Thuraisingham is affiliated with The University of Texas at Dallas in the United States. Their research primarily focuses on computer science, with a particular emphasis on artificial intelligence, information systems, computer networks and communications, computer vision and pattern recognition, and signal processing.

The scientist's body of work spans multiple topics within these fields, including:

  • Network Security and Intrusion Detection
  • Advanced Malware Detection Techniques
  • Adversarial Robustness in Machine Learning
  • Anomaly Detection Techniques and Applications
  • Blockchain Technology Applications and Security
  • Privacy-Preserving Technologies in Data
  • Access Control and Trust

Recent papers authored or co-authored by Bhavani Thuraisingham include:

  • "Trustworthy Machine Learning", 2022, published in IEEE Intelligent Systems
  • "Blockchain-Enabled Service Optimizations in Supply Chain Digital Twin", 2022, IEEE Transactions on Services Computing
  • "Advanced Persistent Threat Detection Using Data Provenance and Metric Learning", 2022, IEEE Transactions on Dependable and Secure Computing
  • "Deep Residual Learning based Enhanced JPEG Compression in the Internet of Things", 2020, IEEE Transactions on Industrial Informatics
  • "DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation", 2020, arXiv (Cornell University)

Bhavani Thuraisingham has published extensively in various venues with notable frequency, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Dependable and Secure Computing
  • IEEE Intelligent Systems
  • ACM SIGMOD Record
  • IEEE Transactions on Industrial Informatics

The scientist has collaborated repeatedly with several co-authors, such as:

  • Latifur Khan
  • Anoop Singhal
  • Meikang Qiu
  • Khandakar Ashrafi Akbar
  • Xiaodi Li

Bhavani Thuraisingham has contributed to book publications with Springer International Publishing and Springer Science+Business Media, including the titles "Mathematics and Computing" (2022) and "Data and Applications Security and Privacy XXXVI" (2022).

Throughout their career, the scientist has received multiple distinctions, including:

  • Fellow, National Academy of Inventors (2018)
  • ACM Fellow (2018) for contributions to methods, tools, and systems for security and privacy of data and applications
  • ACM Distinguished Member (2010)
  • Fellow of the American Association for the Advancement of Science (AAAS) (2003)
  • Edward J. McCluskey Technical Achievement Award, IEEE Computer Society (1997) for contributions to secure distributed database systems

Best Publications

  • A new intrusion detection system using support vector machines and hierarchical clustering

    Latifur Khan;Mamoun Awad;Bhavani Thuraisingham

  • Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints

    Mohammad M Masud;Jing Gao;L Khan;Jiawei Han

  • Privacy preservation in wireless sensor networks: A state-of-the-art survey

    Na Li;Nan Zhang;Sajal K. Das;Bhavani Thuraisingham

  • Security Issues for Cloud Computing

    Kevin Hamlen;Murat Kantarcioglu;Latifur Khan;Bhavani Thuraisingham

  • Inferring private information using social network data

    Jack Lindamood;Raymond Heatherly;Murat Kantarcioglu;Bhavani Thuraisingham

  • ROWLBAC: representing role based access control in OWL

    T. Finin;A. Joshi;L. Kagal;J. Niu

  • Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security

    Bhavani Thuraisingham;David Evans;Tal Malkin;Dongyan Xu

  • Heuristics-Based Query Processing for Large RDF Graphs Using Cloud Computing

    M. Husain;J. McGlothlin;M. M. Masud;L. Khan

  • Data Mining: Technologies, Techniques, Tools, and Trends

    Bhavani Thuraisingham

  • A semantic web based framework for social network access control

    Barbara Carminati;Elena Ferrari;Raymond Heatherly;Murat Kantarcioglu

  • Preventing Private Information Inference Attacks on Social Networks

    R. Heatherly;M. Kantarcioglu;B. Thuraisingham

  • Effective Software Fault Localization Using an RBF Neural Network

    W. E. Wong;V. Debroy;R. Golden;Xiaofeng Xu

  • A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data

    M.M. Masud;Jing Gao;L. Khan;Jiawei Han

  • DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation

    Han Qiu;Yi Zeng;Shangwei Guo;Tianwei Zhang

  • Proactive user-centric secure data scheme using attribute-based semantic access controls for mobile clouds in financial industry

    Meikang Qiu;Keke Gai;Bhavani M. Thuraisingham;Lixin Tao

  • Selective and authentic third-party distribution of XML documents

    E. Bertino;B. Carminati;E. Ferrari;B. Thuraisingham

  • Storage and Retrieval of Large RDF Graph Using Hadoop and MapReduce

    Mohammad Farhan Husain;Pankil Doshi;Latifur Khan;Bhavani Thuraisingham

  • Secure knowledge management: confidentiality, trust, and privacy

    E. Bertino;L.R. Khan;R. Sandhu;B. Thuraisingham

  • Design of LDV: a multilevel secure relational database management system

    P.D. Stachour;B. Thuraisingham

  • Least Cost Rumor Blocking in Social Networks

    Lidan Fan;Zaixin Lu;Weili Wu;Bhavani Thuraisingham

  • Security for Enterprise Resource Planning Systems

    Wei She;Bhavani Thuraisingham

  • Data Mining Techniques and Applications

    Mamoun Awad;Latifur Khan;Bhavani Thuraisingham;Lei Wang

  • Classification and Novel Class Detection in Concept-Drifting Data Streams

    Bhavani Thuraisingham;Mohammad Mehedy Masud;Pallabi Parveen;Latifur Khan

Frequent Co-Authors

Latifur Khan
Latifur Khan The University of Texas at Dallas
Murat Kantarcioglu
Murat Kantarcioglu The University of Texas at Dallas
Elisa Bertino
Elisa Bertino Purdue University West Lafayette
Elena Ferrari
Elena Ferrari University of Insubria
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Jing Gao
Jing Gao Purdue University West Lafayette
Ravi Sandhu
Ravi Sandhu The University of Texas at San Antonio
Chris Clifton
Chris Clifton Purdue University West Lafayette
Barbara Carminati
Barbara Carminati University of Insubria
Weili Wu
Weili Wu The University of Texas at Dallas

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