Vinaykumar R.
Orcid: 0000-0001-6873-6469Affiliations:
- Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia
- Amrita School of Engineering, Amrita Vishwa Vidyapeetham, CEN, Coimbatore, India
According to our database1,
Vinaykumar R.
authored at least 141 papers
between 2015 and 2024.
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Bibliography
2024
Deep learning-based network intrusion detection in smart healthcare enterprise systems.
Multim. Tools Appl., April, 2024
Intelligent leather defect classification using Fourier angular radial partitioning algorithm with ensemble classifier.
Multim. Tools Appl., April, 2024
Wirel. Pers. Commun., February, 2024
IEEE Trans. Comput. Soc. Syst., February, 2024
Multim. Tools Appl., February, 2024
2023
Trs-net tropical revolving storm disasters analysis and classification based on multispectral images using 2-d deep convolutional neural network.
Multim. Tools Appl., December, 2023
Multim. Tools Appl., December, 2023
Two-stage deep learning model for automate detection and classification of lung diseases.
Soft Comput., November, 2023
Bird species recognition using spiking neural network along with distance based fuzzy co-clustering.
Int. J. Speech Technol., September, 2023
Attention-Based Multidimensional Deep Learning Approach for Cross-Architecture IoMT Malware Detection and Classification in Healthcare Cyber-Physical Systems.
IEEE Trans. Comput. Soc. Syst., August, 2023
EfficientNet deep learning meta-classifier approach for image-based android malware detection.
Multim. Tools Appl., July, 2023
Multim. Tools Appl., June, 2023
Deep Learning-Based Network Intrusion Detection System for Internet of Medical Things.
IEEE Internet Things Mag., June, 2023
Feature and Subfeature Selection for Classification Using Correlation Coefficient and Fuzzy Model.
IEEE Trans. Engineering Management, May, 2023
Intelligence Amplification-Based Smart Health Record Chain for Enterprise Management System.
Inf., May, 2023
Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images.
Neural Comput. Appl., April, 2023
Multim. Tools Appl., April, 2023
A multichannel EfficientNet deep learning-based stacking ensemble approach for lung disease detection using chest X-ray images.
Clust. Comput., April, 2023
An Integrated Framework with Deep Learning for Segmentation and Classification of Cancer Disease.
Int. J. Artif. Intell. Tools, March, 2023
Fault tolerance aware workload resource management technique for real-time workload in heterogeneous computing environment.
Trans. Emerg. Telecommun. Technol., March, 2023
Multim. Tools Appl., February, 2023
Attention-based convolutional neural network deep learning approach for robust malware classification.
Comput. Intell., February, 2023
Inf., January, 2023
Inf., January, 2023
Lung-GANs: Unsupervised Representation Learning for Lung Disease Classification Using Chest CT and X-Ray Images.
IEEE Trans. Engineering Management, 2023
Adversarial Defense: DGA-Based Botnets and DNS Homographs Detection Through Integrated Deep Learning.
IEEE Trans. Engineering Management, 2023
IEEE Trans. Engineering Management, 2023
Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram.
IEEE Trans. Engineering Management, 2023
IEEE Trans. Engineering Management, 2023
Toward Data-Model-Agnostic Autonomous Machine-Generated Data Labeling and Annotation Platform: COVID-19 Autoannotation Use Case.
IEEE Trans. Engineering Management, 2023
Peripheral Blood Smear Analysis Using Automated Computer-Aided Diagnosis System to Identify Acute Myeloid Leukemia.
IEEE Trans. Engineering Management, 2023
Detection of shilling attack in recommender system for YouTube video statistics using machine learning techniques.
Soft Comput., 2023
Pediatric pneumonia diagnosis using stacked ensemble learning on multi-model deep CNN architectures.
Multim. Tools Appl., 2023
A multi-view feature fusion approach for effective malware classification using Deep Learning.
J. Inf. Secur. Appl., 2023
Hybrid cloud storage system with enhanced multilayer cryptosystem for secure deduplication in cloud.
Int. J. Intell. Networks, 2023
CE2RV: Commissioned energy-efficient virtualization for large-scale heterogeneous wireless sensor networks.
Int. J. Commun. Syst., 2023
Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures.
Eng. Appl. Artif. Intell., 2023
A robust malware traffic classifier to combat security breaches in industry 4.0 applications.
Concurr. Comput. Pract. Exp., 2023
A survey on Blockchain solutions in DDoS attacks mitigation: Techniques, open challenges and future directions.
Comput. Commun., 2023
IEEE Consumer Electron. Mag., 2023
Proceedings of the IEEE Region 10 Conference, 2023
2022
New Approach for Advanced Energy Efficiency in MANET (AEE-M) by Improving Optimized Link State Routing Protocol Version 2 (OLSRv2).
Wirel. Pers. Commun., 2022
Improved K-Means Based Q Learning Algorithm for Optimal Clustering and Node Balancing in WSN.
Wirel. Pers. Commun., 2022
DSCN-net: a deep Siamese capsule neural network model for automatic diagnosis of malaria parasites detection.
Multim. Tools Appl., 2022
Identification of intracranial haemorrhage (ICH) using ResNet with data augmentation using CycleGAN and ICH segmentation using SegAN.
Multim. Tools Appl., 2022
Computer-aided diagnosis of COVID-19 from chest X-ray images using histogram-oriented gradient features and Random Forest classifier.
Multim. Tools Appl., 2022
Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images.
Multim. Syst., 2022
Intrusion detection systems using classical machine learning techniques vs integrated unsupervised feature learning and deep neural network.
Internet Technol. Lett., 2022
Image-based malware representation approach with EfficientNet convolutional neural networks for effective malware classification.
J. Inf. Secur. Appl., 2022
Deep Learning Feature Fusion Approach for an Intrusion Detection System in SDN-Based IoT Networks.
IEEE Internet Things Mag., 2022
LPCOCN: A Layered Paddy Crop Optimization-Based Capsule Network Approach for Anomaly Detection at IoT Edge.
Inf., 2022
A deep learning approach for detecting the behaviour of people having personality disorders towards COVID-19 from Twitter.
Int. J. Comput. Sci. Eng., 2022
Int. J. Commun. Syst., 2022
Int. J. Commun. Syst., 2022
Blockchain-Based Cloud-Enabled Security Monitoring Using Internet of Things in Smart Agriculture.
Future Internet, 2022
Improving routing disruption attack detection in MANETs using efficient trust establishment.
Trans. Emerg. Telecommun. Technol., 2022
Expert Syst. Appl., 2022
A hybrid optimization algorithm-based feature selection for thyroid disease classifier with rough type-2 fuzzy support vector machine.
Expert Syst. J. Knowl. Eng., 2022
A cost-sensitive deep learning-based meta-classifier for pediatric pneumonia classification using chest X-rays.
Expert Syst. J. Knowl. Eng., 2022
Attention deep learning-based large-scale learning classifier for Cassava leaf disease classification.
Expert Syst. J. Knowl. Eng., 2022
The role of Blockchain in DDoS attacks mitigation: techniques, open challenges and future directions.
CoRR, 2022
CoRR, 2022
Comput. Secur., 2022
Deep learning based cross architecture internet of things malware detection and classification.
Comput. Secur., 2022
A Multi-View attention-based deep learning framework for malware detection in smart healthcare systems.
Comput. Commun., 2022
A two-stage deep learning framework for image-based android malware detection and variant classification.
Comput. Intell., 2022
Hybrid optimization algorithm based feature selection for mammogram images and detecting the breast mass using multilayer perceptron classifier.
Comput. Intell., 2022
Recurrent deep learning-based feature fusion ensemble meta-classifier approach for intelligent network intrusion detection system.
Comput. Electr. Eng., 2022
A Comprehensive Review of Denial of Service Attacks in Blockchain Ecosystem and Open Challenges.
IEEE Access, 2022
Convolutional Neural Networks and Support Vector Machines for Five-Year Survival Analysis of Metastatic Rectal Cancer.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
J. Cyber Secur. Mobil., 2021
A self-congruence and impulse buying effect on user's shopping behaviour over social networking sites: an empirical study.
Int. J. Pervasive Comput. Commun., 2021
REERS: Reliable and energy-efficient route selection algorithm for heterogeneous Internet of things applications.
Int. J. Commun. Syst., 2021
Trans. Emerg. Telecommun. Technol., 2021
Stegomalware: A Systematic Survey of MalwareHiding and Detection in Images, Machine LearningModels and Research Challenges.
CoRR, 2021
Proceedings of the IEEE International Conference on Consumer Electronics, 2021
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021
2020
Wirel. Commun. Mob. Comput., 2020
ICT Express, 2020
Deep Learning based Frameworks for Handling Imbalance in DGA, Email, and URL Data Analysis.
CoRR, 2020
CoRR, 2020
Multi-scale Learning based Malware Variant Detection using Spatial Pyramid Pooling Network.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
DeepDGA-MINet: Cost-Sensitive Deep Learning Based Framework for Handling Multiclass Imbalanced DGA Detection.
Proceedings of the Handbook of Computer Networks and Cyber Security, 2020
2019
J. Intell. Fuzzy Syst., 2019
ScaleNet: Scalable and Hybrid Frameworkfor Cyber Threat Situational AwarenessBased on DNS, URL, and Email Data Analysis.
J. Cyber Secur. Mobil., 2019
J. Inf. Secur. Appl., 2019
A Comparative Analysis of Deep Learning Approaches for Network Intrusion Detection Systems (N-IDSs): Deep Learning for N-IDSs.
Int. J. Digit. Crime Forensics, 2019
Intrusion detection systems using classical machine learning techniques versus integrated unsupervised feature learning and deep neural network.
CoRR, 2019
Towards Evaluating the Robustness of Deep Intrusion Detection Models in Adversarial Environment.
Proceedings of the Security in Computing and Communications - 7th International Symposium, 2019
Proceedings of the Security in Computing and Communications - 7th International Symposium, 2019
Amrita-CEN-SentiDB 1: Improved Twitter Dataset for Sentimental Analysis and Application of Deep learning.
Proceedings of the 10th International Conference on Computing, 2019
Proceedings of the Cybersecurity and Cyberforensics Conference, 2019
2018
J. Intell. Fuzzy Syst., 2018
J. Intell. Fuzzy Syst., 2018
J. Intell. Fuzzy Syst., 2018
J. Intell. Fuzzy Syst., 2018
ICT Express, 2018
CoRR, 2018
CoRR, 2018
Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018
Proceedings of the 9th International Conference on Computing, 2018
Proceedings of the 9th International Conference on Computing, 2018
Proceedings of the 9th International Conference on Computing, 2018
Proceedings of the 9th International Conference on Computing, 2018
Proceedings of the 9th International Conference on Computing, 2018
Proceedings of the 9th International Conference on Computing, 2018
Proceedings of the 9th International Conference on Computing, 2018
Proceedings of the 9th International Conference on Computing, 2018
Comparative Study of the Detection of Malicious URLs Using Shallow and Deep Networks.
Proceedings of the 9th International Conference on Computing, 2018
Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security.
Proceedings of the 9th International Conference on Computing, 2018
2017
Evaluation of Recurrent Neural Network and its Variants for Intrusion Detection System (IDS).
Int. J. Inf. Syst. Model. Des., 2017
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017
Proceedings of the Second Workshop on Evaluation of Human Language Technologies for Iberian Languages (IberEval 2017) co-located with 33th Conference of the Spanish Society for Natural Language Processing (SEPLN 2017), 2017
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017
Proceedings of the 2017 International Conference on Advances in Computing, 2017
Proceedings of the 2017 International Conference on Advances in Computing, 2017
Secure shell (ssh) traffic analysis with flow based features using shallow and deep networks.
Proceedings of the 2017 International Conference on Advances in Computing, 2017
Proceedings of the 2017 International Conference on Advances in Computing, 2017
Proceedings of the 2017 International Conference on Advances in Computing, 2017
Proceedings of the 2017 International Conference on Advances in Computing, 2017
Proceedings of the 2017 International Conference on Advances in Computing, 2017
Proceedings of the 2017 International Conference on Advances in Computing, 2017
Proceedings of the 2017 International Conference on Advances in Computing, 2017
Proceedings of the 2017 International Conference on Advances in Computing, 2017
Instantaneous heart rate as a robust feature for sleep apnea severity detection using deep learning.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), 2017
2015
Proceedings of the the 5th Workshop on Making Sense of Microposts co-located with the 24th International World Wide Web Conference (WWW 2015), 2015
Proceedings of the Mining Intelligence and Knowledge Exploration, 2015