Dr. Geo Francis E
St. Aloysius H.S.S., Elthuruth, Christ College of Engineering, Karpagam Academy of Higher Education, Dharmaram Vidya Kshetram, Christ Academy ICSE and ISE School, Christ University
Research areas: Computer Science · Computer Networks and Communications · Network Security and Intrusion Detection · Network Packet Processing and Optimization · Internet of Things and AI
0000-0002-0978-8581
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
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St. Aloysius H.S.S., Elthuruth HSST2015 - Present
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Christ College of Engineering Finance Administrator2014 - 2015
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Christ Academy ICSE and ISE School CFO & Vice Principal2012 - 2014
Education
- 2021 - 2025
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Dharmaram Vidya Kshetram B.Th.2007 - 2010
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Christ University B.Sc (Computer Science, Mathematics & Statistics)2001 - 2004
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Dharmaram Vidya Kshetram B.Ph.1999 - 2001
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St. Aloysius College, Elthuruth PDC1995 - 1997
Projects & Funding
Projects & funding information is unavailable.
Publications (20)
- OMEECBR: A Novel Optimized Metaheuristic-Driven Energy-Efficient Cluster-Based Routing Protocol for IoT-Enabled WSNs Save
- IoT and Smart Device Security Save
- Wormhole Attack Detection in the Internet of Things Using a Hybrid Deep Learning Model Save
- Automation of IoT Network Traffic Analysis and Anomaly Detection using Deep Packet Inspection with Hybrid DenseNet121-BiLSTM Save
- Chaotic Resilience: Enhancing IoT Security Through Dynamic Data Encryption Save
- Bi-Level Intrusion Detection in IoT Networks Using Ensemble Method and A-GRU-RNN Classifier Save
- An Efficient Intrusion Detection System Using a Multiscale Deep Bi-directional GRU Network to Detect Blackhole Attacks in IoT-based WSNs Save
- IoT Network Security with PCA and Deep Learning for Unmasking Anomalies Save
- An optimized intrusion detection model for wireless sensor networks based on MLP-CatBoost algorithm Save
- Enhanced intrusion detection in wireless sensor networks using deep reinforcement learning with improved feature extraction and selection Save
- IDSSA: An Intrusion Detection System with Self-adaptive Capabilities for Strengthening the IoT Network Security Save
- Intrusion detection system with an ensemble DAE and BiLSTM in the fog layer of IoT networks Save
- A Three-layer Convolution Neural Network Approach for Intrusion Detection in IoT Save
- Intrusion Detection System and Mitigation of Threats in IoT Networks using AI Techniques: A Review Save
- Minds of the Machine: Redefining the IoT Landscape through AI Save
- IoT Intrusion Detection Using Two-Tier-Convolutional Deep-Learning Model Save
- SHAKE-ESDRL-based energy efficient intrusion detection and hashing system Save
- A Novel RDAE Based PSR-QKD Framework for Energy Efficient Intrusion Detection Save
- Towards an Optimal Security Using Multifactor Scalable Lightweight Cryptography for IoT Save
- FTM--A Middle Layer Architecture for Fault Tolerance in Cloud Computing Save