Thomas M Chen

Employment

• City, University of London Professor in Cyber Security
  2013 - Present
• Swansea University College of Engineering Professor in Networks
  2008 - 2013
• Southern Methodist University Associate Professor
  1997 - 2008
• GTE Laboratories Senior technical member of staff
  1989 - 1997

Education

• University of California Berkeley PhD
  ? - 1990
• Massachusetts Institute of Technology MS, BS
  ? - 1984

Projects & Funding

Projects & funding information is unavailable.

Publications (115)

• Improved dDQL: A Double Deep Q‐Learning Enabled Localization for Internet of Underwater Things
  Nellore Kapileswar, Judy Simon, Polasi Phani Kumar

  +2 more

  • Tom Chen
  • Mithileysh Sathiyanarayanan
  Transactions on Emerging Telecommunications Technologies 2025 DOI: 10.1002/ett.70207
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• Privacy-Preserving Federated Learning for Phishing Detection
  IEEE Technology and Society Magazine 2025 DOI: 10.1109/MTS.2025.3558971
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• Screening and Robust Detection of Obstructive Sleep Apnea Using Convolutional Neural Network
  Ulaganathan Sakthi, Tom Chen, Mithileysh Sathiyanarayanan +2 more
  2025 DOI: 10.1007/978-981-96-6124-4_23
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• Circle-Inspired Sine Cosine Optimization-Enabled CRF-RNN and ZFNet for Brain Tumor Segmentation and Classification Using MRI Images
  Ulaganathan Sakthi, Tom Chen, Mithileysh Sathiyanarayanan
  International Journal of Computational Methods 2024 DOI: 10.1142/S0219876223500263
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• FatNet: High-Resolution Kernels for Classification Using Fully Convolutional Optical Neural Networks
  AI 2023 DOI: 10.3390/ai4020018
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• DS-SWIPT: Secure Communication with Wireless Power Transfer for Internet of Things
  Security and Communication Networks 2022 DOI: 10.1155/2022/2650474
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• A Study on the Evolution of Ransomware Detection Using Machine Learning and Deep Learning Techniques
  IoT 2020 DOI: 10.3390/iot1020030
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• Cryptography in WSNs
  Studies in Systems, Decision and Control 2019 DOI: 10.1007/978-3-319-91146-5_21
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• Wearables Security and Privacy
  Studies in Systems, Decision and Control 2019 DOI: 10.1007/978-3-319-92384-0_11
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• Automated generation of colluding apps for experimental research
  Journal of Computer Virology and Hacking Techniques 2018 DOI: 10.1007/s11416-017-0296-4
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• Detection of app collusion potential using logic programming
  Journal of Network and Computer Applications 2018 DOI: 10.1016/j.jnca.2017.12.008
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• Mitigating CSRF attacks on OAuth 2.0 Systems
  2018 16th Annual Conference on Privacy, Security and Trust, PST 2018 2018 DOI: 10.1109/PST.2018.8514180
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• Optimal policy derivation for transmission duty-cycle constrained LPWAN
  IEEE Internet of Things Journal 2018 DOI: 10.1109/JIOT.2018.2833289
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• Your Code Is My Code: Exploiting a Common Weakness in OAuth 2.0 Implementations
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2018 DOI: 10.1007/978-3-030-03251-7_3
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• AndroPIn: Correlating Android permissions and intents for malware detection
  2017 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2017 2017 DOI: 10.1109/IEMCON.2017.8117152
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• Android application collusion demystified
  Communications in Computer and Information Science 2017 DOI: 10.1007/978-3-319-65548-2_14
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• Introduction to the special issue: Terrorist online propaganda and radicalization
  Studies in Conflict and Terrorism 2017 DOI: 10.1080/1057610X.2016.1157402
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• PIndroid: A novel Android malware detection system using ensemble learning methods
  Computers and Security 2017 DOI: 10.1016/j.cose.2017.03.011
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• A survey of wearable biometric recognition systems
  ACM Computing Surveys 2016 DOI: 10.1145/2968215
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• Towards automated Android app collusion detection
  CEUR Workshop Proceedings 2016
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