Ranjit Panigrahi
Assistant Professor at Sikkim Manipal Institute of Technology
Research Expertise
About
Publications
A Consolidated Decision Tree-Based Intrusion Detection System for Binary and Multiclass Imbalanced Datasets
Mathematics / Mar 31, 2021
Panigrahi, R., Borah, S., Bhoi, A. K., Ijaz, M. F., Pramanik, M., Kumar, Y., & Jhaveri, R. H. (2021). A Consolidated Decision Tree-Based Intrusion Detection System for Binary and Multiclass Imbalanced Datasets. Mathematics, 9(7), 751. https://doi.org/10.3390/math9070751
Performance Assessment of Supervised Classifiers for Designing Intrusion Detection Systems: A Comprehensive Review and Recommendations for Future Research
Mathematics / Mar 23, 2021
Panigrahi, R., Borah, S., Bhoi, A. K., Ijaz, M. F., Pramanik, M., Jhaveri, R. H., & Chowdhary, C. L. (2021). Performance Assessment of Supervised Classifiers for Designing Intrusion Detection Systems: A Comprehensive Review and Recommendations for Future Research. Mathematics, 9(6), 690. https://doi.org/10.3390/math9060690
An Improvised Deep-Learning-Based Mask R-CNN Model for Laryngeal Cancer Detection Using CT Images
Sensors / Nov 15, 2022
Sahoo, P. K., Mishra, S., Panigrahi, R., Bhoi, A. K., & Barsocchi, P. (2022). An Improvised Deep-Learning-Based Mask R-CNN Model for Laryngeal Cancer Detection Using CT Images. Sensors, 22(22), 8834. https://doi.org/10.3390/s22228834
Rank Allocation to J48 Group of Decision Tree Classifiers using Binary and Multiclass Intrusion Detection Datasets
Procedia Computer Science / Jan 01, 2018
Panigrahi, R., & Borah, S. (2018). Rank Allocation to J48 Group of Decision Tree Classifiers using Binary and Multiclass Intrusion Detection Datasets. Procedia Computer Science, 132, 323–332. https://doi.org/10.1016/j.procs.2018.05.186
Intrusion detection in cyber–physical environment using hybrid Naïve Bayes—Decision table and multi-objective evolutionary feature selection
Computer Communications / Apr 01, 2022
Panigrahi, R., Borah, S., Pramanik, M., Bhoi, A. K., Barsocchi, P., Nayak, S. R., & Alnumay, W. (2022). Intrusion detection in cyber–physical environment using hybrid Naïve Bayes—Decision table and multi-objective evolutionary feature selection. Computer Communications, 188, 133–144. https://doi.org/10.1016/j.comcom.2022.03.009
Classification and Analysis of Facebook Metrics Dataset Using Supervised Classifiers
Social Network Analytics / Jan 01, 2019
Panigrahi, R., & Borah, S. (2019). Classification and Analysis of Facebook Metrics Dataset Using Supervised Classifiers. In Social Network Analytics (pp. 1–19). Elsevier. https://doi.org/10.1016/b978-0-12-815458-8.00001-3
Dual-stage intrusion detection for class imbalance scenarios
Computer Fraud & Security / Jan 01, 2019
Panigrahi, R., & Borah, S. (2019). Dual-stage intrusion detection for class imbalance scenarios. Computer Fraud & Security, 2019(12), 12–19. https://doi.org/10.1016/s1361-3723(19)30128-9
Probabilistic Buckshot-Driven Cluster Head Identification and Accumulative Data Encryption in WSN
Journal of Circuits, Systems and Computers / Jul 21, 2022
Naga Srinivasu, P., Panigrahi, R., Singh, A., & Bhoi, A. K. (2022). Probabilistic Buckshot-Driven Cluster Head Identification and Accumulative Data Encryption in WSN. Journal of Circuits, Systems and Computers, 31(17). https://doi.org/10.1142/s0218126622503030
Decision-making on the existence of soft exudates in diabetic retinopathy
International Journal of Computer Applications in Technology / Jan 01, 2020
Reyana, A., Krishnaprasath, V. T., Kautish, S., Panigrahi, R., & Shaik, M. (2020). Decision-making on the existence of soft exudates in diabetic retinopathy. International Journal of Computer Applications in Technology, 64(4), 375. https://doi.org/10.1504/ijcat.2020.112684
Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification
Big Data Mining and Analytics / Mar 01, 2023
Jena, K. K., Bhoi, S. K., Nayak, S. R., Panigrahi, R., & Bhoi, A. K. (2023). Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification. Big Data Mining and Analytics, 6(1), 32–43. https://doi.org/10.26599/bdma.2021.9020017
Survivability prediction of patients suffering hepatocellular carcinoma using diverse classifier ensemble of grafted decision tree
International Journal of Computer Applications in Technology / Jan 01, 2020
Panigrahi, R., Pramanik, M., Chakraborty, U. K., & Bhoi, A. K. (2020). Survivability prediction of patients suffering hepatocellular carcinoma using diverse classifier ensemble of grafted decision tree. International Journal of Computer Applications in Technology, 64(4), 349. https://doi.org/10.1504/ijcat.2020.112683
Wireless Sensor Networks - Architecture, Security Requirements, Security Threats and its Countermeasures
Computer Science & Information Technology ( CS & IT ) / Sep 15, 2013
Panigrahi, R., Sharma, K., & M.K, G. (2013). Wireless Sensor Networks - Architecture, Security Requirements, Security Threats and its Countermeasures. Computer Science & Information Technology ( CS & IT ), 107–115. https://doi.org/10.5121/csit.2013.3611
Ontology-Based Layered Rule-Based Network Intrusion Detection System for Cybercrimes Detection
Knowledge and Information Systems / Feb 20, 2024
Ayo, F. E., Awotunde, J. B., Ogundele, L. A., Solanke, O. O., Brahma, B., Panigrahi, R., & Bhoi, A. K. (2024). Ontology-Based Layered Rule-Based Network Intrusion Detection System for Cybercrimes Detection. Knowledge and Information Systems, 66(6), 3355–3392. https://doi.org/10.1007/s10115-024-02068-9
Decoding emotions and unveiling stress: a non-invasive approach through sequential feature extraction and multiclass classifiers
Health and Technology / Aug 19, 2024
Upadhaya, S., Brahma, B., K.S, H., Panigrahi, R., & Bhoi, A. K. (2024). Decoding emotions and unveiling stress: a non-invasive approach through sequential feature extraction and multiclass classifiers. Health and Technology. https://doi.org/10.1007/s12553-024-00900-4
Effective Intrusion Detection in High-Class Imbalance Networks Using Consolidated Tree Construction
Big Data and Edge Intelligence for Enhanced Cyber Defense / Jul 09, 2024
Panigrahi, R., Borah, S., & Bhoi, A. K. (2024). Effective Intrusion Detection in High-Class Imbalance Networks Using Consolidated Tree Construction. In Big Data and Edge Intelligence for Enhanced Cyber Defense (pp. 127–154). CRC Press. https://doi.org/10.1201/9781003215523-6
A Review of Automated Sleep Stage Scoring Using Machine Learning Techniques Based on Physiological Signals
Intelligent Techniques for Predictive Data Analytics / Jun 21, 2024
Satapathy, S. K., Agrawal, P., Shah, N., Panigrahi, R., Khandelwal, B., Barsocchi, P., & Bhoi, A. K. (2024, June 21). A Review of Automated Sleep Stage Scoring Using Machine Learning Techniques Based on Physiological Signals. Intelligent Techniques for Predictive Data Analytics; Wiley; Portico. https://doi.org/10.1002/9781394227990.ch5
Optimized Forest Framework with A Binary Multineighborhood Artificial Bee Colony for Enhanced Diabetes Mellitus Detection
International Journal of Computational Intelligence Systems / Jul 29, 2024
Pradhan, G., Thapa, G., Pradhan, R., Khandelwal, B., Panigrahi, R., Bhoi, A. K., & Barsocchi, P. (2024). Optimized Forest Framework with A Binary Multineighborhood Artificial Bee Colony for Enhanced Diabetes Mellitus Detection. International Journal of Computational Intelligence Systems, 17(1). https://doi.org/10.1007/s44196-024-00598-2
Bot-FFX: A Robust and Efficient Framework for Fast Flux Botnet (FFB) Detection
Wireless Personal Communications / Mar 01, 2024
Ayo, F. E., Awotunde, J. B., Folorunso, S. O., Panigrahi, R., Garg, A., & Bhoi, A. K. (2024). Bot-FFX: A Robust and Efficient Framework for Fast Flux Botnet (FFB) Detection. Wireless Personal Communications, 135(2), 1209–1232. https://doi.org/10.1007/s11277-024-11119-x
Early Malignant Mesothelioma Detection Using Ensemble of Naive Bayes Under Decorate Ensemble Framework
Journal of The Institution of Engineers (India): Series B / Jan 28, 2024
Moirangthem, A., Lepcha, O. S., Panigrahi, R., Brahma, B., & Bhoi, A. K. (2024). Early Malignant Mesothelioma Detection Using Ensemble of Naive Bayes Under Decorate Ensemble Framework. Journal of The Institution of Engineers (India): Series B, 105(2), 251–264. https://doi.org/10.1007/s40031-023-00988-8
6 Detection of COVID-19 in IoMT cloud-based system using ensemble machine learning algorithms
Healthcare Big Data Analytics / Mar 04, 2024
Bamidele Awotunde, J., Kumar Bhoi, A., & Panigrahi, R. (2024). 6 Detection of COVID-19 in IoMT cloud-based system using ensemble machine learning algorithms. In Healthcare Big Data Analytics (pp. 125–148). De Gruyter. https://doi.org/10.1515/9783110750942-006
Healthcare Big Data Analytics
Feb 27, 2024
Kumar Bhoi, A., Panigrahi, R., Albuquerque, V., Hugo C. de, & H. Jhaveri, R. (Eds.). (2024). Healthcare Big Data Analytics: Computational Optimization and Cohesive Approaches. De Gruyter. https://doi.org/10.1515/9783110750942
Explainable Artificial Intelligence-based framework for medical decision support systems
Explainable Artificial Intelligence in Medical Decision Support Systems / Nov 22, 2022
Awotunde, J. B., Ayoade, O. B., Ranjit, P., Garg, A., & Bhoi, A. K. (2022). Explainable Artificial Intelligence-based framework for medical decision support systems. In Explainable Artificial Intelligence in Medical Decision Support Systems (pp. 91–116). Institution of Engineering and Technology. https://doi.org/10.1049/pbhe050e_ch3
An Enhanced DFFNN for Location-Based Services of Indoor Device-Free Submissive Localization
2022 5th Information Technology for Education and Development (ITED) / Nov 01, 2022
Awotunde, J. B., Imoize, A. L., Bhoi, A. K., Jimoh, R. G., Ojo, S., Panigrahi, R., & Faruk, N. (2022). An Enhanced DFFNN for Location-Based Services of Indoor Device-Free Submissive Localization. 2022 5th Information Technology for Education and Development (ITED), 1–7. https://doi.org/10.1109/ited56637.2022.10051582
Big Data and Edge Intelligence for Enhanced Cyber Defense
Jul 09, 2024
Rani Panigrahi, C., de Albuquerque, V. H. C., Kumar Bhoi, A., & K.S., H. (2024). Big Data and Edge Intelligence for Enhanced Cyber Defense: Principles and Research. CRC Press. https://doi.org/10.1201/9781003215523
A Multi-level Random Forest Model-Based Intrusion Detection Using Fuzzy Inference System for Internet of Things Networks
International Journal of Computational Intelligence Systems / Mar 12, 2023
Awotunde, J. B., Ayo, F. E., Panigrahi, R., Garg, A., Bhoi, A. K., & Barsocchi, P. (2023). A Multi-level Random Forest Model-Based Intrusion Detection Using Fuzzy Inference System for Internet of Things Networks. International Journal of Computational Intelligence Systems, 16(1). https://doi.org/10.1007/s44196-023-00205-w
An Ensemble of Light Gradient Boosting Machine and Adaptive Boosting for Prediction of Type-2 Diabetes
International Journal of Computational Intelligence Systems / Feb 12, 2023
Sai, M. J., Chettri, P., Panigrahi, R., Garg, A., Bhoi, A. K., & Barsocchi, P. (2023). An Ensemble of Light Gradient Boosting Machine and Adaptive Boosting for Prediction of Type-2 Diabetes. International Journal of Computational Intelligence Systems, 16(1). https://doi.org/10.1007/s44196-023-00184-y
Big data analytics enabled deep convolutional neural network for the diagnosis of cancer
Knowledge and Information Systems / Sep 14, 2023
Awotunde, J. B., Panigrahi, R., Shukla, S., Panda, B., & Bhoi, A. K. (2023). Big data analytics enabled deep convolutional neural network for the diagnosis of cancer. Knowledge and Information Systems, 66(2), 905–931. https://doi.org/10.1007/s10115-023-01971-x
Breast cancer diagnosis based on hybrid rule-based feature selection with deep learning algorithm
Research on Biomedical Engineering / Jan 09, 2023
Awotunde, J. B., Panigrahi, R., Khandelwal, B., Garg, A., & Bhoi, A. K. (2023). Breast cancer diagnosis based on hybrid rule-based feature selection with deep learning algorithm. Research on Biomedical Engineering, 39(1), 115–127. https://doi.org/10.1007/s42600-022-00255-7
Multi-Label Learning Model for Diabetes Disease Comorbidity
Journal of The Institution of Engineers (India): Series B / Aug 30, 2023
Folorunso, S. O., Awotunde, J. B., Adigun, A. A., Panigrahi, R., Garg, A., & Bhoi, A. K. (2023). Multi-Label Learning Model for Diabetes Disease Comorbidity. Journal of The Institution of Engineers (India): Series B, 104(5), 1133–1145. https://doi.org/10.1007/s40031-023-00913-z
A non-invasive method for prediction of neurodegenerative diseases using gait signal features
Procedia Computer Science / Jan 01, 2023
Syam, V., Safal, S., Bhutia, O., Singh, A. K., Giri, D., Bhandari, S. S., & Panigrahi, R. (2023). A non-invasive method for prediction of neurodegenerative diseases using gait signal features. Procedia Computer Science, 218, 1529–1541. https://doi.org/10.1016/j.procs.2023.01.131
Document Classification Using Genetic Algorithm
Lecture Notes on Data Engineering and Communications Technologies / Jan 01, 2022
Borah, S., Singh, N. K., Yolmo, P. U., Kumar, R., & Panigrahi, R. (2022). Document Classification Using Genetic Algorithm. In Advances in Data Science and Management (pp. 253–261). Springer Nature Singapore. https://doi.org/10.1007/978-981-16-5685-9_24
Applied Soft Computing
Dec 06, 2021
Borah, S., & Panigrahi, R. (2021). Applied Soft Computing: Techniques and Applications. Apple Academic Press. https://doi.org/10.1201/9781003186885
A Fuzzy Logic Approach for Improved Simulation and Control Washing Machine System Variables
Lecture Notes in Electrical Engineering / Jan 01, 2021
Bhatt, T. V., Bhoi, A. K., Marques, G., & Panigrahi, R. (2021). A Fuzzy Logic Approach for Improved Simulation and Control Washing Machine System Variables. In Advances in Systems, Control and Automations (pp. 699–715). Springer Nature Singapore. https://doi.org/10.1007/978-981-15-8685-9_73
A Proposal of Rule-Based Hybrid Intrusion Detection System Through Analysis of Rule-Based Supervised Classifiers
Smart Innovation, Systems and Technologies / Aug 29, 2020
Panigrahi, R., Borah, S., & Mishra, D. (2020). A Proposal of Rule-Based Hybrid Intrusion Detection System Through Analysis of Rule-Based Supervised Classifiers. In Intelligent and Cloud Computing (pp. 623–633). Springer Singapore. https://doi.org/10.1007/978-981-15-6202-0_63
Suicidal Intent Prediction Using Natural Language Processing (Bag of Words) Approach
Advances in Intelligent Systems and Computing / Nov 28, 2020
Chidinma, O. A., Borah, S., & Panigrahi, R. (2020). Suicidal Intent Prediction Using Natural Language Processing (Bag of Words) Approach. In Soft Computing Techniques and Applications (pp. 147–153). Springer Singapore. https://doi.org/10.1007/978-981-15-7394-1_14
WEKA Result Reader—A Smart Tool for Reading and Summarizing WEKA Simulator Files
Advances in Intelligent Systems and Computing / Sep 09, 2020
Panigrahi, R., Borah, S., & Chakraborty, U. K. (2020). WEKA Result Reader—A Smart Tool for Reading and Summarizing WEKA Simulator Files. In Evolution in Computational Intelligence (pp. 159–167). Springer Singapore. https://doi.org/10.1007/978-981-15-5788-0_15
A Statistical Analysis of Lazy Classifiers Using Canadian Institute of Cybersecurity Datasets
Lecture Notes on Data Engineering and Communications Technologies / Jan 01, 2020
Panigrahi, R., & Borah, S. (2020). A Statistical Analysis of Lazy Classifiers Using Canadian Institute of Cybersecurity Datasets. In Advances in Data Science and Management (pp. 215–222). Springer Singapore. https://doi.org/10.1007/978-981-15-0978-0_21
Intrusion Detection Systems (IDS)—An Overview with a Generalized Framework
Advances in Intelligent Systems and Computing / Jan 01, 2020
Panigrahi, R., Borah, S., Bhoi, A. K., & Mallick, P. K. (2020). Intrusion Detection Systems (IDS)—An Overview with a Generalized Framework. In Cognitive Informatics and Soft Computing (pp. 107–117). Springer Singapore. https://doi.org/10.1007/978-981-15-1451-7_11
An Enhanced Intrusion Detection System Based on Clustering
Advances in Intelligent Systems and Computing / Dec 22, 2017
Borah, S., Panigrahi, R., & Chakraborty, A. (2017). An Enhanced Intrusion Detection System Based on Clustering. In Progress in Advanced Computing and Intelligent Engineering (pp. 37–45). Springer Singapore. https://doi.org/10.1007/978-981-10-6875-1_5
Education
Sikkim Manipal Institute of Technology
M. Tech. in Computer Sciences and Engineering
Sikkim Manipal Institute of Technology
PhD in Computer Science
Experience
Sikkim Manipal Institute of Technology
Assistant Professor
Links & Social Media
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