Manikandan T

About

My Area of Interest is Network Security, Artificial Intelligence ., etc

Employment

• Rajalakshmi Engineering College Professor
  2024 - Present
• Saveetha School of Engineering Professor
  2022 - 2024
• Galgotias University Associate Professor
  2021 - 2022

Education

Education history is unavailable.

Projects & Funding

• Deep Learning for Visual Computing Short Term Course AICTE-QIP-STC All India Council for Technical Education
  2019 - 2019

Publications (16)

• A Distributed Generative–Probabilistic Framework for Scalable Intrusion Detection in Smart Farming IoT Networks
  T. Manikandan, Sumendra Yogarayan, Abdul Razak +2 more
  Journal of Human, Earth, and Future 2026 DOI: 10.28991/HEF-2026-07-02-05
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• A Novel Hybrid Unsupervised Learning Approach for Enhanced Cybersecurity in the IoT
  Prabu Kaliyaperumal, Sudhakar Periyasamy, T. Manikandan +2 more
  Future Internet 2024 DOI: 10.3390/fi16070253
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• Microgrid based VANET monitoring and energy management in 5G networks by reinforcement deep learning techniques
  Anand A. Selvakumar, S. Ramesh, T. Manikandan +3 more
  Computers and Electrical Engineering 2023 DOI: 10.1016/j.compeleceng.2023.108933
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• Integration of IoT and edge cloud computing for smart microgrid energy management in VANET using machine learning
  U. Arul, Gnanajeyaraman Rajaram, Anand A. Selvakumar +3 more
  Computers and Electrical Engineering 2023 DOI: 10.1016/j.compeleceng.2023.108905
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• Vehicular network energy storage system with renewable analysis using deep learning architectures
  S. Ramesh, T. Manikandan, Gnanajeyaraman Rajaram +3 more
  Computers and Electrical Engineering 2023 DOI: 10.1016/j.compeleceng.2023.108801
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• Unlocking the Potential of VANETs: Trust-Based Authentication and Deep Learning for Enhanced Security and Efficiency
  2023 DOI: 10.21203/rs.3.rs-3091458/v1
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• VANET security enhancement in cloud navigation with Internet of Things-based trust model in deep learning architecture
  Gnanajeyaraman Rajaram, U. Arul, G. Michael +3 more
  Soft Computing 2023 DOI: 10.1007/s00500-023-08180-2
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• Deep Learning Model for Predicting Diabetes Disease Using SVM
  Studies in Computational Intelligence 2023 DOI: 10.1007/978-981-99-4303-6_10
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• Environment Twin Based Deep Learning Model Using Reconfigurable Holographic Surface for User Location Prediction
  Studies in Computational Intelligence 2023 DOI: 10.1007/978-981-99-4303-6_5
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• Interaction of Secure Cloud Network and Crowd Computing for Smart City Data Obfuscation
  T. Manikandan, Shajahan Basheer, Shitharth Selvarajan +4 more
  Sensors 2022 DOI: 10.3390/s22197169
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• Detection of Epileptic Seizure using Improved Adaptive Neuro Fuzzy Inference System with Machine Learning Techniques
  Salim Shamsher, T. Manikandan, Pallavi Tyagi

  +2 more

  • Deepa Muthiah
  • Nakirekanti Suvarna
  2022 International Conference on Emerging Smart Computing and Informatics (ESCI) 2022 DOI: 10.1109/esci53509.2022.9758290
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• Analysis and Countermeasures of Black-Hole Attack in MANET by Employing Trust-Based Routing
  2020 6th International Conference on Advanced Computing and Communication Systems, ICACCS 2020 2020 DOI: 10.1109/ICACCS48705.2020.9074282
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• A Novel Defence Scheme to Prevent Malicious Node in MANET
  Proceedings of the 2nd International Conference on Trends in Electronics and Informatics, ICOEI 2018 2018 DOI: 10.1109/ICOEI.2018.8553884
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• Avoidance of blackhole attack using enhanced OLSR with ABHA algorithm
  Asian Journal of Information Technology 2016 DOI: 10.3923/ajit.2016.1382.1388
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• Mitigation of malicious nodes in MANET using sequence number-based detection mechanism
  T. Manikandan, N. Kamaraj, S. Rakesh Kumar

  +1 more

  • N. Gayathri
  Journal of Computational and Theoretical Nanoscience 2016 DOI: 10.1166/jctn.2016.5371
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• Detection of malicious nodes in MANETs
  2010 IEEE International Conference on Communication Control and Computing Technologies, ICCCCT 2010 2010 DOI: 10.1109/ICCCCT.2010.5670735
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