Brief Profile
Dr. Manohar Naik is currently working as an Assistant Professor in the Department of Computer Science, Central University of Kerala.He has around 10 years of teaching experience. He did M.C.A. and M.Tech (C.S.E) from Acharya Nagarjuna University, Guntur, Andhra Pradesh. He has been awarded Ph.D From Dept of Computer Science & Technology, Sri Krishnadevaraya University, Anantapuramu, Andhra Pradesh. Between 2007 and 2010 he was the recipient of Rajiv Gandhi National Fellowship Award by the UGC for Research studies.He cleared National Eligibility Test conducted by the UGC. He has published vaious research papers in international journals and international conferences. He has a Professional Membership in IEEE. Organized 5-Day National Workshop on ‘Cyber Security’ sponsored by AICTE in 2019 and in 2021. Given invited talks at different places on ‘Cyber Security’. His current research interests are Cyber Security, Cryptography & Network Security, Block Chain, Intrusion Detection Systems, Pattern Matching Algorithms, Wireless Sensor Networks and Machine Learning.
Education
| Degree | College Name | Year Of Passing |
|---|
| Ph.D. | Department of Computer Science & Technology, Sri Krishnadevaraya University, Anantapuramu, Andhra Pradesh, India. | 2017 |
Experience
| Employer Name | Designation | Start From | End To |
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| Central University of Kerala | Assistant Professor | 2015 | |
Teaching & Research Guidance
| Level Of Teaching | Subjects |
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| Post Graduate | Cyber Security, Cryptography & Network Security, Wireless Sensor Networks, Bio-Informatics, Database Management Systems, Programming Concepts using Python |
| Research Guidance | Cyber Security and Machine Learning |
| Short term/Continuing Education/Specialist Courses conducted | C++, Python |
Recent and Major Publications
- K. Sruthi, S. Manohar Naik (2026). "A Novel Consensus Ranking-Based Ensemble Feature Selection for Efficient Phishing Attack Detection". SECURITY AND PRIVACY, 9, e70259
- Gowri Priya, S. Manohar Naik (2026). "A Cyber Threat Intelligence Model for Identification of Crime-Facilitating Elements on Darknet Marketplace Using Guided LDA-Based Topic Modeling Weights". First International Conference on Advances in Forensics and Cyber Technologies (ICFACT 2025), 42-59
- Sreelesh V ; Manohar Naik S (2026). "Efficient GDPR-Compliant Blockchain Data Management with Fine-Grained Consent and Auditable Trails". IEEE 6th Global Conference for Advancement in Technology (GCAT) 2025, pp. 1-8
- K. Sruthi & S. Manohar Naik (2026). "Phishing Detection: Exploring Feature Representation and Defense Strategies". 4th International Conference on Signal and Data Processing, 1470, 335–360
- Akanksha P, Manohar Naik S (2025). "SAE-AM: Enhancing Network Intrusion Detection Using Sparse Autoencoders with Attention Modules". Applied Cybersecurity & Internet Governance, vol. 4 no. 1
- K. Sruthi, S. Manohar Naik (2025). "A novel framework for phishing attack detection using domain-adapted GloVe embeddings and attention-enhanced neural sequence model". Applied Soft Computing, 188, 114441
- Sruthi K , Manohar Naik S (2025). "A Novel Framework for Effective Phishing URL Detection using an LSTM-based Siamese Network". Knowledge-Based Systems, Volume 329, Part A,114271
- Ashfaq Ahmad Najar; Owais Mujtaba Khanday; Vanlalruata Hnamte; Manohar Naik Sugali; M. Abdul Jawad; Nazia Farooq; Mohd Rafi Lone (2025). "LIDS: A Novel Lightweight Intrusion Detection System for DDoS Attacks". SECURITY AND PRIVACY, Volume 9, Issue 1, e70148
- Akanksha P., Manohar Naik S. (2025). "Deep Learning and Explainable AI: A Dual Approach to Network Security". Intelligent Computing and Communication. ICICC 2024. Lecture Notes in Networks and Systems, 1240
- Akanksh P, Manohar Naik S (2025). "TCSO-KD: a novel technique for optimal feature selection and knowledge distillation for efficient IoT intrusion detection systems". Cluster Computing, 1-44
- Ashfaq Ahmad Najar, Manohar Naik S (2025). "DDoS attack detection using CNN-BiLSTM with attention mechanism". Telematics and Informatics Reports, Volume 18, 100211
- Sruthi Krishnan | Manohar Naik S (2025). "An Efficient Framework for Phishing URL Detection UsingAdaptive Drift-Aware Feature Monitoring andOnline Learning". SECURITY AND PRIVACY, Volume 8, Issue 3
- Ashfaq Ahmad Najar, Manohar Naik S (2025). "A novel CNN-enhanced detection and mitigation of DDoS attacks in SDN". Cluster Computing, Vol. , Pages. 1-31
- Ashfaq Ahmad Najar, S. Manohar Naik (2024). "AE-CIAM: a hybrid AI-enabled framework for low-rate DDoS attack detection in cloud computing". Cluster Computing, 28
- Akanksha P, Manohar Naik S. (2024). "Network Intrusion Detection with SMOTE-ENN and Deep Learning Techniques". Smart Computing Paradigms: Artificial Intelligence and Network Applications, 1147
- R. Vaishali; S Manohar Naik (2024). "A Novel LightGBM-Bayesian Approach for DDoS Detection in SDN Environments". IEEE 2024 Moratuwa Engineering Research Conference (MERCon), pp. 7-12,
- Ashfaq Ahmad Najar, Manohar Naik S. (2024). "A Robust DDoS Intrusion Detection System Using Convolutional Neural Network". Computers and Electrical Engineering, Volume 117
- Ashfaq Ahmad Najar, S. Manohar Naik (2024). "A novel CNN‐based approach for detection and classification of DDoS attacks". Concurrency and Computation: Practice and Experience, 1-21
- Ashfaq Ahmad Najar, S. Manohar Naik (2024). "Cyber-Secure SDN: A CNN-Based Approach for Efficient Detection and Mitigation of DDoS attacks". Computers & Security, Volume 139
- Manohar Naik S and Hashida Hydros (2024). "Detection approaches for android malware: Taxonomy and review analysis". Expert Systems with Applications, 238, 1-28
- R. Vaishali & S. Manohar Naik (2024). "A DNA Cryptosystem Using Diffie–Hellman Key Exchange". SN Computer Science, Volume 5, article number 274
- Vanlalruata Hnamte, Ashfaq Ahmad Najar, Hong Nhung-Nguyen, Jamal Hussain, Manohar Naik Sugali (2023). "DDoS attack detection and mitigation using deep neural network in SDN environment". Computers & Security, Volume 138, March 2024, 103661
- Sruthi K; Manohar Naik S (2023). "Enhancing Phishing Website Detection with Feature Credibility Score and Weighted Threshold using Neural Networks". IEEE 2nd International Conference on Futuristic Technologies (INCOFT), pp. 1-6
- Manohar Naik S & Hashida Haidros Rahima Manzil (2023). "Android ransomware detection using a novel hamming distance based feature selection". Journal of Computer Virology and Hacking Techniques, 1-23
- Manohar Naik S (2023). "Android malware category detection using a novel feature vector-based machine learning model". Cybersecurity, 6, 1-11
- Manohar Naik S (2022). "DynaMalDroid: Dynamic Analysis-Based Detection Framework for Android Malware Using Machine Learning Techniques". IEEE International Conference on Knowledge Engineering and Communication Systems (ICKES), 1-6
- Manohar Naik S, Ashfaq Ahmad Najar (2022). "Applying Supervised Machine Learning Techniques to Detect DDoS Attacks". IEEE Asian Conference on Innovation in Technology (ASIANCON), pp 1-5
- Manohar Naik S, Ashfaq Ahmad Najar (2022). "Covid-19 Impact on Cyber Crimes in India: A Systematic Study". IEEE India Council International Subsections Conference (INDISCON), pp 1-10
- Manohar Naik S, Ashfaq Ahmad Najar (2022). "DDoS attack detection using MLP and Random Forest Algorithms". International Journal of Information Technology, Volume 14, issue 4
- Dr. Manohar Naik S, Hashida Haidros Rahima Manzil (2022). "COVID-Themed Android Malware Analysis and Detection Framework Based on Permissions". IEEE International Conference for Advancement in Technology (ICONAT) Goa, India., pp. 1-5
- Dr. Manohar Naik S, Prof.N.Geethanjali (2016). "“A Multi-Fusion Pattern Matching Algorithm for Signature-based Network Intrusion Detection”". International Journal of Research in Engineering, IT and Social Sciences, Vol. 06, Issue 08, Pages (36-41)
- Dr. Kumar V, Prof. Narasimham Challa, Dr. Manohar Naik S (2016). "“Efficient Dynamic Time Warping for Time Series Classification”". Indian Journal of Science and Technology, Vol.9, Issue.21, Pages (1-7)
- Dr. Manohar Naik S, Dr. N. Geethanjali (2015). "“Performance Study of the running times of well known Pattern Matching algorithms for Signature-based Intrusion Detection Systems”". International Journal on Recent and Innovation Trends in Computing and Communication, Vol.3, Issue.6, Pages (4177-4180)
- Manohar Naik S, Geethanjali N (2011). "Design of Efficient Pattern Matching Algorithm for Network Intrusion Detection System". ICMLC-2011 Published by IEEE., Vol.5, Pages (462-465)
- Manohar Naik S, Geethanjali N (2010). "Intrusion Detection Systems for High-speed Networks". Computing & Communication Technologies, Pages (72-76)
- Manohar Naik S, Geethanjali N (2010). "Detecting Attacks using Network Intrusion Detection Systems". Journal of Computer and Mathematical Sciences, Vol. 1, Issue 6, Pages (636-768)
Miscellaneous
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