Balasubramanian Prabhu kavin

About

Balasubramanian Prabhu kavin, is currently working as Assistant Professor in Department of Data Science and Business Systems, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu Dt. He has completed his M.E. from Anna University, Chennai and Ph. D degree from Vellore Institute of Technology, Chennai. He has published 15 papers in journals and conference. He has published 8 Indian patents and 3 International Patents. His areas of interest are Cryptography, Data Security, Cloud Computing, Cyber Security, Machine Learning, Deep Learning.
Email: [email protected]

Employment

• SRM Institute of Science and Technology, Department of Data Science and Business Systems. Assistant Professor
  2022 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (19)

• Cryptographic Encryption and Optimization for Internet of Things Based Medical Image Security
  Electronics 2023 DOI: 10.3390/electronics12071636
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• Detection of Liver Tumour Using Deep Learning Based Segmentation with Coot Extreme Learning Model
  Biomedicines 2023 DOI: 10.3390/biomedicines11030800
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• Multi-Process Remora Enhanced Hyperparameters of Convolutional Neural Network for Lung Cancer Prediction
  Biomedicines 2023 DOI: 10.3390/biomedicines11030679
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• Filter-Based Ensemble Feature Selection and Deep Learning Model for Intrusion Detection in Cloud Computing
  Electronics 2023 DOI: 10.3390/electronics12030556
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• A Trust-Based Secure Neuro Fuzzy Clustering Technique for Mobile Ad Hoc Networks
  Electronics 2023 DOI: 10.3390/electronics12020274
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• APESTNet with Mask R-CNN for Liver Tumor Segmentation and Classification
  Cancers 2023 DOI: 10.3390/cancers15020330
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• En–DeNet Based Segmentation and Gradational Modular Network Classification for Liver Cancer Diagnosis
  Biomedicines 2023 DOI: 10.3390/biomedicines11051309
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• Exploiting the Moth–Flame Optimization Algorithm for Optimal Load Management of the University Campus: A Viable Approach in the Academia Sector
  Energies 2022 DOI: 10.3390/en15103741
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• Predicting Attack Pattern via Machine Learning by Exploiting Stateful Firewall as Virtual Network Function in an SDN Network
  Sensors 2022 DOI: 10.3390/s22030709
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• Exploiting IoT and Its Enabled Technologies for Irrigation Needs in Agriculture
  Water 2022 DOI: 10.3390/w14050719
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