Dr. Geo Francis E

About

Dr. Geo Francis E received the B.Sc. degree in Computer Science, Mathematics and Statistics from Bangalore University, India in 2004 and the MCA degree from Madras University, India in 2007. He received a Ph.D. in Computer Science in 2025 from Karpagam Academy of Higher Education, Coimbatore, India. He has also received the B.Ph. degree in Philosophy and the B.Th. degree in Theology from Dharmaram Vidya Kshetram, a Pontifical Athenaeum, Bangalore in 2001 and 2010 respectively. He is a Junior Higher Secondary School Teacher in Computer Science at St. Aloysius HSS, Elthuruth, Kerala, India. His research interests include Network Security, Cryptography, IoT and Machine Learning.

Employment

• St. Aloysius H.S.S., Elthuruth HSST
  2015 - Present
• Christ College of Engineering Finance Administrator
  2014 - 2015
• Christ Academy ICSE and ISE School CFO & Vice Principal
  2012 - 2014

Education

• Karpagam Academy of Higher Education Ph.D
  2021 - 2025
• Dharmaram Vidya Kshetram B.Th.
  2007 - 2010
• Christ University B.Sc (Computer Science, Mathematics & Statistics)
  2001 - 2004
• Dharmaram Vidya Kshetram B.Ph.
  1999 - 2001
• St. Aloysius College, Elthuruth PDC
  1995 - 1997

Projects & Funding

Projects & funding information is unavailable.

Publications (20)

• IoT and Smart Device Security
  Securing the Digital Frontier 2025 DOI: 10.1002/9781394268917.ch10
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• Wormhole Attack Detection in the Internet of Things Using a Hybrid Deep Learning Model
  2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT) 2025 DOI: 10.1109/idciot64235.2025.10914708
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• Automation of IoT Network Traffic Analysis and Anomaly Detection using Deep Packet Inspection with Hybrid DenseNet121-BiLSTM
  2025 International Conference on Intelligent Systems and Computational Networks (ICISCN) 2025 DOI: 10.1109/iciscn64258.2025.10934338
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• Chaotic Resilience: Enhancing IoT Security Through Dynamic Data Encryption
  2025 DOI: 10.1007/978-981-97-2147-4_23
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• OMEECBR: A Novel Optimized Metaheuristic-Driven Energy-Efficient Cluster-Based Routing Protocol for IoT-Enabled WSNs
  2025 IEEE 5th International Conference on Smart Information Systems and Technologies (SIST) 2025 DOI: 10.1109/sist61657.2025.11139259
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• IDSSA: An Intrusion Detection System with Self-adaptive Capabilities for Strengthening the IoT Network Security
  Advances in Computational Intelligence and Informatics: Proceedings of ICACII. Lecture Notes in Networks and Systems (993) 2024 DOI: 10.1007/978-981-97-4727-6_3
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• Intrusion detection system with an ensemble DAE and BiLSTM in the fog layer of IoT networks
  Journal of Applied Research and Technology 2024 DOI: 10.22201/icat.24486736e.2024.22.6.2485
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• Enhanced intrusion detection in wireless sensor networks using deep reinforcement learning with improved feature extraction and selection
  Multimedia Tools and Applications 2024 DOI: 10.1007/S11042-024-19305-6
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• An optimized intrusion detection model for wireless sensor networks based on MLP-CatBoost algorithm
  Multimedia Tools and Applications 2024 DOI: 10.1007/s11042-023-18034-6
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• IoT Network Security with PCA and Deep Learning for Unmasking Anomalies
  2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT) 2024 DOI: 10.1109/csnt60213.2024.10545733
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