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ORCIDVinaykumar R.
Vinaykumar Ravi – R. Vinayakumar – Vinayakumar R. – Vinayakumar Ravi
Person information
- affiliation: Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia
- affiliation: Amrita School of Engineering, Amrita Vishwa Vidyapeetham, CEN, Coimbatore, India
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2020 – today
- 2023
[j58]Harini Narasimhan, Vinayakumar Ravi
, Nazeeruddin Mohammad:
Unsupervised Deep Learning Approach for In-Vehicle Intrusion Detection System. IEEE Consumer Electron. Mag. 12(1): 103-108 (2023)- [j57]Vinayakumar Ravi, Mamoun Alazab:
Attention-based convolutional neural network deep learning approach for robust malware classification. Comput. Intell. 39(1): 145-168 (2023) - [j56]Vinayakumar Ravi, Vasundhara Acharya, Mamoun Alazab:
A multichannel EfficientNet deep learning-based stacking ensemble approach for lung disease detection using chest X-ray images. Clust. Comput. 26(2): 1181-1203 (2023) - [j55]Rajasekhar Chaganti, Bharat Bhushan, Vinayakumar Ravi:
A survey on Blockchain solutions in DDoS attacks mitigation: Techniques, open challenges and future directions. Comput. Commun. 197: 96-112 (2023) - [j54]D. Salangai Nayagi, Sivasankari G. G, Vinayakumar Ravi, K. R. Venugopal, Sankar Sennan:
Fault tolerance aware workload resource management technique for real-time workload in heterogeneous computing environment. Trans. Emerg. Telecommun. Technol. 34(3) (2023) - [j53]Rajasekhar Chaganti, Wael Suliman, Vinayakumar Ravi, Amit Dua:
Deep Learning Approach for SDN-Enabled Intrusion Detection System in IoT Networks. Inf. 14(1): 41 (2023) - [j52]Kiran Kiran, H. L. Gururaj, Meshari Almeshari, Yasser Alzamil, Vinayakumar Ravi, K. V. Sudeesh:
Efficient SCAN and Chaotic Map Encryption System for Securing E-Healthcare Images. Inf. 14(1): 47 (2023) - [j51]Rajasekhar Chaganti, Vinayakumar Ravi, Tuan D. Pham:
A multi-view feature fusion approach for effective malware classification using Deep Learning. J. Inf. Secur. Appl. 72: 103402 (2023) - [j50]Hemanta Kumar Bhuyan, A. Vijayaraj, Vinayakumar Ravi:
Development of secrete images in image transferring system. Multim. Tools Appl. 82(5): 7529-7552 (2023) - [j49]Shalli Rani, Manpreet Kaur, Munish Kumar, Vinayakumar Ravi, Uttam Ghosh, Jnyana Ranjan Mohanty:
Detection of shilling attack in recommender system for YouTube video statistics using machine learning techniques. Soft Comput. 27(1): 377-389 (2023) - [j48]Vinayakumar Ravi, Mamoun Alazab, Sriram Srinivasan, Ajay Arunachalam, K. P. Soman:
Adversarial Defense: DGA-Based Botnets and DNS Homographs Detection Through Integrated Deep Learning. IEEE Trans. Engineering Management 70(1): 249-266 (2023) - 2022
- [j47]Rajasekhar Chaganti, Rajendra V. Boppana, Vinayakumar Ravi, Kashif Munir, Mubarak Almutairi, Furqan Rustam, Ernesto Lee, Imran Ashraf:
A Comprehensive Review of Denial of Service Attacks in Blockchain Ecosystem and Open Challenges. IEEE Access 10: 96538-96555 (2022) - [j46]Vinayakumar Ravi, Rajasekhar Chaganti, Mamoun Alazab:
Recurrent deep learning-based feature fusion ensemble meta-classifier approach for intelligent network intrusion detection system. Comput. Electr. Eng. 102: 108156 (2022) - [j45]Reenadevi Rajendran, Sathiyabhama Balasubramaniam, Vinayakumar Ravi, Sankar Sennan:
Hybrid optimization algorithm based feature selection for mammogram images and detecting the breast mass using multilayer perceptron classifier. Comput. Intell. 38(4): 1559-1593 (2022) - [j44]Pooja Yadav, Neeraj Menon, Vinayakumar Ravi, Sowmya Viswanathan, Tuan D. Pham:
A two-stage deep learning framework for image-based android malware detection and variant classification. Comput. Intell. 38(5): 1748-1771 (2022) - [j43]Hemanta Kumar Bhuyan, Vinayakumar Ravi, M. Srikanth Yadav:
Multi-objective optimization-based privacy in data mining. Clust. Comput. 25(6): 4275-4287 (2022) - [j42]Vinayakumar Ravi, Mamoun Alazab, Shymalagowri Selvaganapathy, Rajasekhar Chaganti:
A Multi-View attention-based deep learning framework for malware detection in smart healthcare systems. Comput. Commun. 195: 73-81 (2022) - [j41]Pooja Yadav, Neeraj Menon, Vinayakumar Ravi, Sowmya Viswanathan, Tuan D. Pham:
EfficientNet convolutional neural networks-based Android malware detection. Comput. Secur. 115: 102622 (2022) - [j40]Rajasekhar Chaganti, Vinayakumar Ravi, Tuan D. Pham:
Deep learning based cross architecture internet of things malware detection and classification. Comput. Secur. 120: 102779 (2022) - [j39]Vidhushavarshini Sureshkumar, Sathiyabhama Balasubramaniam, Vinayakumar Ravi, Ajay Arunachalam:
A hybrid optimization algorithm-based feature selection for thyroid disease classifier with rough type-2 fuzzy support vector machine. Expert Syst. J. Knowl. Eng. 39(1) (2022) - [j38]Vinayakumar Ravi, Vasundhara Acharya, Tuan D. Pham:
Attention deep learning-based large-scale learning classifier for Cassava leaf disease classification. Expert Syst. J. Knowl. Eng. 39(2) (2022) - [j37]Vinayakumar Ravi, Harini Narasimhan, Tuan D. Pham:
A cost-sensitive deep learning-based meta-classifier for pediatric pneumonia classification using chest X-rays. Expert Syst. J. Knowl. Eng. 39(7) (2022) - [j36]Hari Theivaprakasham, S. Darshana, Vinayakumar Ravi, V. Sowmya, E. A. Gopalakrishnan, K. P. Soman:
Odonata identification using Customized Convolutional Neural Networks. Expert Syst. Appl. 206: 117688 (2022) - [j35]K. Anish Pon Yamini, Jesmitha Stephy, K. Suthendran, Vinayakumar Ravi:
Improving routing disruption attack detection in MANETs using efficient trust establishment. Trans. Emerg. Telecommun. Technol. 33(5) (2022) - [j34]Rajasekhar Chaganti, Vijayakumar Varadarajan, Venkata Subbarao Gorantla, Thippa Reddy Gadekallu, Vinayakumar Ravi:
Blockchain-Based Cloud-Enabled Security Monitoring Using Internet of Things in Smart Agriculture. Future Internet 14(9): 250 (2022) - [j33]Thiyagarajan Krishnan, Sankar Sennan, Vinayakumar Ravi, Dwarakacharla Harshavardhan reddy:
A dual-band circular patch antenna using hexagon-shaped slots. Int. J. Commun. Syst. 35(9) (2022) - [j32]Tharuman Sudhakar, Sethuraman Sambath Kumar, Vinayakumar Ravi, Rajakumar Ramalingam, Sonu Dua:
Neighborhood rough set-based route selection for mobile ad hoc networks. Int. J. Commun. Syst. 35(11) (2022) - [j31]Mourad Ellouze, Seifeddine Mechti, Moez Krichen, Vinayakumar Ravi, Lamia Hadrich Belguith:
A deep learning approach for detecting the behaviour of people having personality disorders towards COVID-19 from Twitter. Int. J. Comput. Sci. Eng. 25(4): 353-366 (2022) - [j30]Narayanavadivoo Gopinathan Bhuvaneswari Amma, Velliangiri Sarveshwaran, Vinayakumar Ravi, Rajasekhar Chaganti:
LPCOCN: A Layered Paddy Crop Optimization-Based Capsule Network Approach for Anomaly Detection at IoT Edge. Inf. 13(12): 587 (2022) - [j29]Vinayakumar Ravi, Rajasekhar Chaganti, Mamoun Alazab:
Deep Learning Feature Fusion Approach for an Intrusion Detection System in SDN-Based IoT Networks. IEEE Internet Things Mag. 5(2): 24-29 (2022) - [j28]Rajasekhar Chaganti, Vinayakumar Ravi, Tuan D. Pham:
Image-based malware representation approach with EfficientNet convolutional neural networks for effective malware classification. J. Inf. Secur. Appl. 69: 103306 (2022) - [j27]Rajlaxmi Patil, Rajshekhar Biradar, Vinayakumar Ravi, Poornima Biradar, Uttam Ghosh:
Network traffic anomaly detection using PCA and BiGAN. Internet Technol. Lett. 5(1) (2022) - [j26]Shisrut Rawat, Aishwarya Srinivasan, Vinayakumar Ravi, Uttam Ghosh:
Intrusion detection systems using classical machine learning techniques vs integrated unsupervised feature learning and deep neural network. Internet Technol. Lett. 5(1) (2022) - [j25]Vinayakumar Ravi, Harini Narasimhan, Chinmay Chakraborty, Tuan D. Pham:
Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images. Multim. Syst. 28(4): 1401-1415 (2022) - [j24]Golla Madhu, A. Govardhan, Vinayakumar Ravi, Sandeep Kautish, B. Sunil Srinivas, Tanupriya Chaudhary, Manoj Kumar:
DSCN-net: a deep Siamese capsule neural network model for automatic diagnosis of malaria parasites detection. Multim. Tools Appl. 81(23): 34105-34127 (2022) - [j23]Ganesh Kumar M, Vinayakumar Ravi, V. Sowmya, Gopalakrishnan E. A, Soman K. P, Chinmay Chakraborty:
Identification of intracranial haemorrhage (ICH) using ResNet with data augmentation using CycleGAN and ICH segmentation using SegAN. Multim. Tools Appl. 81(25): 36257-36273 (2022) - [j22]Malathy Jawahar, Prassanna Jayachandran, Vinayakumar Ravi, L. Jani Anbarasi, S. Graceline Jasmine, R. Manikandan, Ramesh Sekaran, Suthendran Kannan:
Computer-aided diagnosis of COVID-19 from chest X-ray images using histogram-oriented gradient features and Random Forest classifier. Multim. Tools Appl. 81(28): 40451-40468 (2022) - [j21]Malathy Sathyamoorthy, Sangeetha Kuppusamy, Rajesh Kumar Dhanaraj, Vinayakumar Ravi:
Improved K-Means Based Q Learning Algorithm for Optimal Clustering and Node Balancing in WSN. Wirel. Pers. Commun. 122(3): 2745-2766 (2022) - [j20]K. Anish Pon Yamini, K. Suthendran, T. Arivoli, Vinayakumar Ravi:
New Approach for Advanced Energy Efficiency in MANET (AEE-M) by Improving Optimized Link State Routing Protocol Version 2 (OLSRv2). Wirel. Pers. Commun. 125(3): 2369-2392 (2022) - [c37]Wael Suliman, Vinayakumar Ravi, Bin Luo, Xiao-Feng Sun, Tuan D. Pham:
Convolutional Neural Networks and Support Vector Machines for Five-Year Survival Analysis of Metastatic Rectal Cancer. IJCNN 2022: 1-8 - [i16]Mredulraj S. Pandianchery, Gopalakrishnan E. A, Sowmya V, Vinayakumar Ravi, Soman K. P:
Explainable AI Framework for COVID-19 Prediction in Different Provinces of India. CoRR abs/2201.06997 (2022) - [i15]Rajasekhar Chaganti, Bharat Bhushan, Vinayakumar Ravi:
The role of Blockchain in DDoS attacks mitigation: techniques, open challenges and future directions. CoRR abs/2202.03617 (2022) - 2021
- [j19]Mangayarkarasi Ramaiah, Vanmathi Chandrasekaran, Vinayakumar Ravi, Neeraj Kumar:
An intrusion detection system using optimized deep neural network architecture. Trans. Emerg. Telecommun. Technol. 32(4) (2021) - [j18]D. Salangai Nayagi, Sivasankari G. G, Vinayakumar Ravi, K. R. Venugopal, Sankar Sennan:
REERS: Reliable and energy-efficient route selection algorithm for heterogeneous Internet of things applications. Int. J. Commun. Syst. 34(13) (2021) - [j17]Shaifali Chauhan, Richa Banerjee, Chinmay Chakraborty, Mohit Mittal, Atul Shiva, Vinayakumar Ravi:
A self-congruence and impulse buying effect on user's shopping behaviour over social networking sites: an empirical study. Int. J. Pervasive Comput. Commun. 17(4): 404-425 (2021) - [j16]Shymalagowri Selvaganapathy, G. Sudha Sadasivam, Vinayakumar Ravi:
A Review on Android Malware: Attacks, Countermeasures and Challenges Ahead. J. Cyber Secur. Mobil. 10(1): 177-230 (2021) - [c36]Vasundhara Acharya, Vinayakumar Ravi, Nazeeruddin Mohammad:
EfficientNet-based Convolutional Neural Networks for Malware Classification. ICCCNT 2021: 1-6 - [c35]Shamika Ganesan, Vinayakumar Ravi, Moez Krichen, V. Sowmya, Roobaea Alroobaea, Soman K. P.:
Robust Malware Detection using Residual Attention Network. ICCE 2021: 1-6 - [i14]Rajasekhar Chaganti, Vinayakumar Ravi, Mamoun Alazab, Tuan D. Pham:
Stegomalware: A Systematic Survey of MalwareHiding and Detection in Images, Machine LearningModels and Research Challenges. CoRR abs/2110.02504 (2021) - 2020
- [j15]Vinayakumar R., Soman K. P.:
Siamese neural network architecture for homoglyph attacks detection. ICT Express 6(1): 16-19 (2020) - [j14]G. Siva Shankar, Ashokkumar Palanivinayagam, R. Vinayakumar, Uttam Ghosh, Wathiq Mansoor, Waleed S. Alnumay:
An Embedded-Based Weighted Feature Selection Algorithm for Classifying Web Document. Wirel. Commun. Mob. Comput. 2020: 8879054:1-8879054:10 (2020) - [c34]Sriram S, Vinayakumar R., Mamoun Alazab, K. P. Soman:
Network Flow based IoT Botnet Attack Detection using Deep Learning. INFOCOM Workshops 2020: 189-194 - [c33]Sriram S, Vinayakumar R., V. Sowmya, Mamoun Alazab, K. P. Soman:
Multi-scale Learning based Malware Variant Detection using Spatial Pyramid Pooling Network. INFOCOM Workshops 2020: 740-745 - [p1]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
DeepDGA-MINet: Cost-Sensitive Deep Learning Based Framework for Handling Multiclass Imbalanced DGA Detection. Handbook of Computer Networks and Cyber Security 2020: 905-928 - [i13]Simran K, Sriram S, Vinayakumar R., K. P. Soman:
Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security. CoRR abs/2004.00502 (2020) - [i12]Simran K, Prathiksha Balakrishna, Vinayakumar R., K. P. Soman:
Deep Learning Approach for Enhanced Cyber Threat Indicators in Twitter Stream. CoRR abs/2004.00503 (2020) - [i11]Simran K, Prathiksha Balakrishna, Vinayakumar R., Soman K. P.:
Deep Learning based Frameworks for Handling Imbalance in DGA, Email, and URL Data Analysis. CoRR abs/2004.04812 (2020)
2010 – 2019
- 2019
- [j13]R. Vinayakumar, Mamoun Alazab, K. P. Soman, Prabaharan Poornachandran, Ameer Al-Nemrat, Sitalakshmi Venkatraman:
Deep Learning Approach for Intelligent Intrusion Detection System. IEEE Access 7: 41525-41550 (2019) - [j12]R. Vinayakumar, Mamoun Alazab, K. P. Soman, Prabaharan Poornachandran, Sitalakshmi Venkatraman:
Robust Intelligent Malware Detection Using Deep Learning. IEEE Access 7: 46717-46738 (2019) - [j11]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
A Comparative Analysis of Deep Learning Approaches for Network Intrusion Detection Systems (N-IDSs): Deep Learning for N-IDSs. Int. J. Digit. Crime Forensics 11(3): 65-89 (2019) - [j10]Sitalakshmi Venkatraman, Mamoun Alazab, R. Vinayakumar:
A hybrid deep learning image-based analysis for effective malware detection. J. Inf. Secur. Appl. 47: 377-389 (2019) - [j9]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran, Vysakh S. Mohan, Amara Dinesh Kumar:
ScaleNet: Scalable and Hybrid Frameworkfor Cyber Threat Situational AwarenessBased on DNS, URL, and Email Data Analysis. J. Cyber Secur. Mobil. 8(2): 189-240 (2019) - [j8]Vysakh S. Mohan, R. Vinayakumar, V. Sowmya, K. P. Soman:
Deep rectified system for high-speed tracking in images. J. Intell. Fuzzy Syst. 36(3): 1957-1965 (2019) - [c32]Vinayakumar R., Mamoun Alazab, Alireza Jolfaei, Soman K. P., Prabaharan Poornachandran:
Ransomware Triage Using Deep Learning: Twitter as a Case Study. CCC 2019: 67-73 - [c31]Naveenkumar K. S, R. Vinayakumar, K. P. Soman:
Amrita-CEN-SentiDB 1: Improved Twitter Dataset for Sentimental Analysis and Application of Deep learning. ICCCNT 2019: 1-5 - [c30]S. Sriram, K. Simran, R. Vinayakumar, S. Akarsh, K. P. Soman:
Towards Evaluating the Robustness of Deep Intrusion Detection Models in Adversarial Environment. SSCC 2019: 111-120 - [c29]K. Simran, Prathiksha Balakrishna, R. Vinayakumar, K. P. Soman:
Deep Learning Approach for Enhanced Cyber Threat Indicators in Twitter Stream. SSCC 2019: 135-145 - [i10]Vidya Prasad K, Akarsh S, R. Vinayakumar, Soman K. P:
A Deep Learning Approach for Similar Languages, Varieties and Dialects. CoRR abs/1901.00297 (2019) - [i9]Naveenkumar K. S, R. Vinayakumar, Soman K. P:
Emotion Detection using Data Driven Models. CoRR abs/1901.03141 (2019) - [i8]Mohammed Harun Babu R, R. Vinayakumar, Soman K. P:
RNNSecureNet: Recurrent neural networks for Cyber security use-cases. CoRR abs/1901.04281 (2019) - [i7]Shisrut Rawat, Aishwarya Srinivasan, Vinayakumar R.:
Intrusion detection systems using classical machine learning techniques versus integrated unsupervised feature learning and deep neural network. CoRR abs/1910.01114 (2019) - 2018
- [j7]Swapna G., Vinayakumar R., Soman K. P.:
Diabetes detection using deep learning algorithms. ICT Express 4(4): 243-246 (2018) - [j6]Vinayakumar R., Soman K. P.:
DeepMalNet: Evaluating shallow and deep networks for static PE malware detection. ICT Express 4(4): 255-258 (2018) - [j5]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran, S. Sachin Kumar:
Evaluating deep learning approaches to characterize and classify the DGAs at scale. J. Intell. Fuzzy Syst. 34(3): 1265-1276 (2018) - [j4]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran, S. Sachin Kumar:
Detecting Android malware using Long Short-term Memory (LSTM). J. Intell. Fuzzy Syst. 34(3): 1277-1288 (2018) - [j3]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Evaluating deep learning approaches to characterize and classify malicious URL's. J. Intell. Fuzzy Syst. 34(3): 1333-1343 (2018) - [j2]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Detecting malicious domain names using deep learning approaches at scale. J. Intell. Fuzzy Syst. 34(3): 1355-1367 (2018) - [c28]Rahul-Vigneswaran K, R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security. ICCCNT 2018: 1-6 - [c27]Anu Vazhayil, R. Vinayakumar, K. P. Soman:
Comparative Study of the Detection of Malicious URLs Using Shallow and Deep Networks. ICCCNT 2018: 1-6 - [c26]R. Vinayakumar, K. P. Soman, Pradeep Menon:
CT-Blocks: Learning Computational Thinking by Snapping Blocks. ICCCNT 2018: 1-7 - [c25]R. Vinayakumar, K. P. Soman, Pradeep Menon:
Map-Blocks: Playing with Online Data and Infuse to Think in a Computational Way. ICCCNT 2018: 1-6 - [c24]R. Vinayakumar, K. P. Soman, Pradeep Menon:
Digital Storytelling Using Scratch: Engaging Children Towards Digital Storytelling. ICCCNT 2018: 1-6 - [c23]R. Vinayakumar, K. P. Soman, Pradeep Menon:
Alg-Design: Facilitates to Learn Algorithmic Thinking for Beginners. ICCCNT 2018: 1-6 - [c22]R. Vinayakumar, K. P. Soman, Pradeep Menon:
CT-Blocks Analyser: Analysing CT-Blocks Projects. ICCCNT 2018: 1-5 - [c21]R. Vinayakumar, K. P. Soman, Pradeep Menon:
Building-Blocks: Generating 3D Design by Snapping Blocks. ICCCNT 2018: 1-6 - [c20]R. Vinayakumar, K. P. Soman, Pradeep Menon:
Fractal Geometry: Enhancing Computational Thinking with MIT Scratch. ICCCNT 2018: 1-6 - [c19]R. Vinayakumar, K. P. Soman, Pradeep Menon:
DB-Learn: Studying Relational Algebra Concepts by Snapping Blocks. ICCCNT 2018: 1-6 - [c18]Vysakh S. Mohan, R. Vinayakumar, Soman K. P, Prabaharan Poornachandran:
S.P.O.O.F Net: Syntactic Patterns for identification of Ominous Online Factors. IEEE Symposium on Security and Privacy Workshops 2018: 258-263 - [i6]Anu Vazhayil, Vinaykumar R., Soman K. P:
DeepProteomics: Protein family classification using Shallow and Deep Networks. CoRR abs/1809.04461 (2018) - [i5]Amara Dinesh Kumar, R. Vinayakumar, K. P. Soman:
DeepImageSpam: Deep Learning based Image Spam Detection. CoRR abs/1810.03977 (2018) - [i4]Amara Dinesh Kumar, Koti Naga Renu Chebrolu, R. Vinayakumar, Soman K. P:
A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities. CoRR abs/1810.04144 (2018) - [i3]R. Vinayakumar, Barathi Ganesh HB, Prabaharan Poornachandran, Anand Kumar M, Soman K. P:
Deep-Net: Deep Neural Network for Cyber Security Use Cases. CoRR abs/1812.03519 (2018) - [i2]Mohammed Harun Babu R, R. Vinayakumar, Soman K. P:
A short review on Applications of Deep learning for Cyber security. CoRR abs/1812.06292 (2018) - 2017
- [j1]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Evaluation of Recurrent Neural Network and its Variants for Intrusion Detection System (IDS). Int. J. Inf. Syst. Model. Des. 8(3): 43-63 (2017) - [c17]Barathi Ganesh H. B., R. Vinayakumar, M. Anand Kumar, K. P. Soman:
NLP CEN AMRITA @ SMM4H: Health Care Text Classification through Class Embeddings. SMM4H@AMIA 2017: 79-82 - [c16]Rahul Krishnan Pathinarupothi, Vinaykumar R., Ekanath Rangan, E. Gopalakrishnan, K. P. Soman:
Instantaneous heart rate as a robust feature for sleep apnea severity detection using deep learning. BHI 2017: 293-296 - [c15]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Long short-term memory based operation log anomaly detection. ICACCI 2017: 236-242 - [c14]R. Vinayakumar, K. P. Soman, K. K. Senthil Velan, Shaunak Ganorkar:
Evaluating shallow and deep networks for ransomware detection and classification. ICACCI 2017: 259-265 - [c13]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Evaluating shallow and deep networks for secure shell (ssh)traffic analysis. ICACCI 2017: 266-274 - [c12]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Deep encrypted text categorization. ICACCI 2017: 364-370 - [c11]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Applying convolutional neural network for network intrusion detection. ICACCI 2017: 1222-1228 - [c10]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Evaluating effectiveness of shallow and deep networks to intrusion detection system. ICACCI 2017: 1282-1289 - [c9]Sreelekshmy Selvin, R. Vinayakumar, E. A. Gopalakrishnan, Vijay Krishna Menon, K. P. Soman:
Stock price prediction using LSTM, RNN and CNN-sliding window model. ICACCI 2017: 1643-1647 - [c8]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Deep android malware detection and classification. ICACCI 2017: 1677-1683 - [c7]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Secure shell (ssh) traffic analysis with flow based features using shallow and deep networks. ICACCI 2017: 2026-2032 - [c6]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Applying deep learning approaches for network traffic prediction. ICACCI 2017: 2353-2358 - [c5]Rahul Krishnan Pathinarupothi, Dhara Prathap J, Ekanath Srihari Rangan, E. Gopalakrishnan, Vinaykumar R., Soman K. P:
Single Sensor Techniques for Sleep Apnea Diagnosis Using Deep Learning. ICHI 2017: 524-529 - [c4]R. Vinayakumar, S. Sachin Kumar, B. Premjith, Prabaharan Poornachandran, Soman Kotti Padannayil:
Deep Stance and Gender Detection in Tweets on Catalan Independence@Ibereval 2017. IberEval@SEPLN 2017: 222-229 - [c3]R. Vinayakumar, B. Premjith, S. Sachin Kumar, K. P. Soman, Prabaharan Poornachandran:
deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets. WASSA@EMNLP 2017: 259-263 - [i1]R. Vinayakumar, Barathi Ganesh H. B., M. Anand Kumar, K. P. Soman:
Deep Health Care Text Classification. CoRR abs/1710.08396 (2017) - 2015
- [c2]Shriya Se, R. Vinayakumar, M. Anand Kumar, K. P. Soman:
AMRITA-CEN@SAIL2015: Sentiment Analysis in Indian Languages. MIKE 2015: 703-710 - [c1]Barathi Ganesh H. B., Abinaya N., M. Anand Kumar, Vinaykumar R., K. P. Soman:
AMRITA - CEN@NEEL: Identification and Linking of Twitter Entities. #MSM 2015: 64-65