R. Vinayakumar

发表

Scalable Framework for Cyber Threat Situational Awareness Based on Domain Name Systems Data Analysis

Prabaharan Poornachandran, R. Vinayakumar, K. P. Soman, 2018 .

Deep Learning based Frameworks for Handling Imbalance in DGA, Email, and URL Data Analysis

P. SomanK., P. Balakrishna, R. Vinayakumar, 2020, ArXiv.

Detecting Android malware using Long Short-term Memory (LSTM)

K. P. Soman, Prabaharan Poornachandran, R. Vinayakumar, 2018, J. Intell. Fuzzy Syst..

Deep Learning Models for the Prediction of Rainfall

R Vinayakumar, P Geetha, S Aswin, 2018, 2018 International Conference on Communication and Signal Processing (ICCSP).

Applying convolutional neural network for network intrusion detection

K. P. Soman, Prabaharan Poornachandran, R. Vinayakumar, 2017, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

DeepDGA-MINet: Cost-Sensitive Deep Learning Based Framework for Handling Multiclass Imbalanced DGA Detection

K. P. Soman, Prabaharan Poornachandran, R. Vinayakumar, 2020, Handbook of Computer Networks and Cyber Security.

Deep Learning Approach for Intelligent Intrusion Detection System

K. P. Soman, Prabaharan Poornachandran, Ameer Al-Nemrat, 2019, IEEE Access.

Intrusion detection systems using classical machine learning techniques vs integrated unsupervised feature learning and deep neural network pdf

R Vinayakumar, Shisrut Rawat, Aishwarya Srinivasan, 2019, Internet Technol. Lett..

Predicting the Sentimental Reviews in Tamil Movie using Machine Learning Algorithms

K. P. Soman, R. Vinayakumar, M. Anand Kumar, 2016 .

Automated detection of cardiac arrhythmia using deep learning techniques

R. Vinayakumar, K P Soman, G Swapna, 2018 .

Ransomware Triage Using Deep Learning: Twitter as a Case Study

Alireza Jolfaei, Prabaharan Poornachandran, Mamoun Alazab, 2019, 2019 Cybersecurity and Cyberforensics Conference (CCC).

A Visualized Botnet Detection System Based Deep Learning for the Internet of Things Networks of Smart Cities

Mamoun Alazab, Quoc-Viet Pham, R. Vinayakumar, 2020, IEEE Transactions on Industry Applications.

Real-Time Detection of Atrial Fibrillation from Short Time Single Lead ECG Traces Using Recurrent Neural Networks

R. Vinayakumar, V. G. Sujadevi, K. P. Soman, 2017 .

A deep learning approach for patch-based disease diagnosis from microscopic images

Anson Simon, Ravi Vinayakumar, Viswanathan Sowmya, 2019, Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis.

Stock price prediction using LSTM, RNN and CNN-sliding window model

K. P. Soman, R. Vinayakumar, Vijay Krishna Menon, 2017, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Emotion Detection using Data Driven Models pdf

P SomanK., R. Vinayakumar, S NaveenkumarK., 2019, ArXiv.

Evaluating shallow and deep networks for secure shell (ssh)traffic analysis

K. P. Soman, Prabaharan Poornachandran, R. Vinayakumar, 2017, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Evaluating effectiveness of shallow and deep networks to intrusion detection system

K. P. Soman, Prabaharan Poornachandran, R. Vinayakumar, 2017, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Evaluation of Recurrent Neural Network and its Variants for Intrusion Detection System (IDS)

K. P. Soman, Prabaharan Poornachandran, R. Vinayakumar, 2017, Int. J. Inf. Syst. Model. Des..

Shallow Cnn with Lstm layer for tuberculosis detection in microscopic image

V. Sowmya, R. Vinayakumar, A. Simon, 2019 .

Diabetes Detection Using ECG Signals: An Overview

K. P. Soman, R. Vinayakumar, G Swapna, 2019 .

Deep android malware detection and classification

K. P. Soman, Prabaharan Poornachandran, R. Vinayakumar, 2017, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Applying deep learning approaches for network traffic prediction

K. P. Soman, Prabaharan Poornachandran, R. Vinayakumar, 2017, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Evaluating shallow and deep networks for ransomware detection and classification

K. P. Soman, R. Vinayakumar, K. K. Senthil Velan, 2017, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Diabetes detection using deep learning algorithms

R. Vinayakumar, P. SomanK., G. Swapna, 2018, ICT Express.

DeepAirNet: Applying Recurrent Networks for Air Quality Prediction

R. Vinayakumar, K P Soman, Athira, 2018 .

Automated detection of diabetes using CNN and CNN-LSTM network and heart rate signals

R. Vinayakumar, Soman Kp, G Swapna, 2018 .

A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities pdf

P SomanK., R. Vinayakumar, Amara Dinesh Kumar, 2018, ArXiv.

Robust Intelligent Malware Detection Using Deep Learning

K. P. Soman, Prabaharan Poornachandran, R. Vinayakumar, 2019, IEEE Access.

Long short-term memory based operation log anomaly detection

K. P. Soman, Prabaharan Poornachandran, R. Vinayakumar, 2017, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Multi-scale Learning based Malware Variant Detection using Spatial Pyramid Pooling Network

KP Soman, Mamoun Alazab, R Vinayakumar, 2020, IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

A hybrid deep learning image-based analysis for effective malware detection

R. Vinayakumar, Sitalakshmi Venkatraman, Mamoun Alazab, 2019, J. Inf. Secur. Appl..

Network Flow based IoT Botnet Attack Detection using Deep Learning

KP Soman, Mamoun Alazab, R Vinayakumar, 2020, IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

Deep-Net: Deep Neural Network for Cyber Security Use Cases pdf

P SomanK., Prabaharan Poornachandran, R. Vinayakumar, 2018, ArXiv.

DeepMalNet: Evaluating shallow and deep networks for static PE malware detection

R. Vinayakumar, P. SomanK., P. SomanK., 2018, ICT Express.

Predicting Market Prices Using Deep Learning Techniques

Dileep G. Menon, R. Vinayakumar, Lakshmi M. Nambiar, 2018 .

AmritaDGA: a comprehensive data set for domain generation algorithms (DGAs) based domain name detection systems and application of deep learning

Sabu M. Thampi, K. P. Soman, Prabaharan Poornachandran, 2019, Big Data Recommender Systems - Volume 2: Application Paradigms.

Amrita-CEN-SentiDB 1: Improved Twitter Dataset for Sentimental Analysis and Application of Deep learning

K. P. Soman, R. Vinayakumar, S NaveenkumarK., 2019, 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT).

An Embedded-Based Weighted Feature Selection Algorithm for Classifying Web Document

Uttam Ghosh, Wathiq Mansoor, R. Vinayakumar, 2020, Wirel. Commun. Mob. Comput..

Deep segregation of plastic (DSP): segregation of plastic and nonplastic using deep learning

R. Vinayakumar, K. P. Soman, K. Sreelakshmi, 2019, Big Data Recommender Systems - Volume 1: Algorithms, Architectures, Big Data, Security and Trust.

Early Warning Indicators for Financial Crisis During Covid-19

V. Sowmya, E. Gopalakrishnan, Kritik Soman, 2022, Communications in Computer and Information Science.

Deep models for phonocardiography (PCG) classification

K. P. Soman, R. Vinayakumar, V. G. Sujadevi, 2017, 2017 International Conference on Intelligent Communication and Computational Techniques (ICCT).

S.P.O.O.F Net: Syntactic Patterns for identification of Ominous Online Factors

P SomanK., Prabaharan Poornachandran, R. Vinayakumar, 2018, 2018 IEEE Security and Privacy Workshops (SPW).

Time Split Based Pre-processing with a Data-Driven Approach for Malicious URL Detection

K. P. Soman, Prabaharan Poornachandran, R. Vinayakumar, 2019, Advanced Sciences and Technologies for Security Applications.

Evaluating deep learning approaches to characterize and classify malicious URL's

K. P. Soman, Prabaharan Poornachandran, R. Vinayakumar, 2018, J. Intell. Fuzzy Syst..

Comparative Study of the Detection of Malicious URLs Using Shallow and Deep Networks

R Vinayakumar, KP Soman, Anu Vazhayil, 2018, 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT).

Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security pdf

KP Soman, K Simran, R Vinayakumar, 2019, ArXiv.

Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security

Prabaharan Poornachandran, R Vinayakumar, KP Soman, 2018, 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT).

Detecting malicious domain names using deep learning approaches at scale

K. P. Soman, Prabaharan Poornachandran, R. Vinayakumar, 2018, J. Intell. Fuzzy Syst..

Evaluating deep learning approaches to characterize and classify the DGAs at scale

K. P. Soman, Prabaharan Poornachandran, R. Vinayakumar, 2018, J. Intell. Fuzzy Syst..

Deep power: Deep learning architectures for power quality disturbances classification

K. P. Soman, R. Vinayakumar, Neethu Mohan, 2017, 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy).

DBD: Deep Learning DGA-Based Botnet Detection

Alireza Jolfaei, K. P. Soman, Prabaharan Poornachandran, 2019, Deep Learning Applications for Cyber Security.

Improved DGA Domain Names Detection and Categorization Using Deep Learning Architectures with Classical Machine Learning Algorithms

Mohamed Elhoseny, K. P. Soman, Prabaharan Poornachandran, 2019, Advanced Sciences and Technologies for Security Applications.

Capsule Network for Plant Disease and Plant Species Classification

V. Sowmya, K. P. Soman, R. Vinayakumar, 2019 .

ScaleNet: Scalable and Hybrid Framework for Cyber Threat Situational Awareness Based on DNS, URL, and Email Data Analysis

K. Soman, P. Poornachandran, R. Vinayakumar, 2018, Journal of Cyber Security and Mobility.

ScaleNet: Scalable and Hybrid Frameworkfor Cyber Threat Situational AwarenessBased on DNS, URL, and Email Data Analysis

Prabaharan Poornachandran, R. Vinayakumar, K. P. Soman, 2019, J. Cyber Secur. Mobil..

Detecting phishing E-mail using machine learning techniques CEN-SecureNLP

K. P. Soman, R. Vinayakumar, Das A. Verma R.M., 2018 .

DeepProteomics: Protein family classification using Shallow and Deep Networks

P SomanK., R. Vinaykumar, Anu Vazhayil, 2018, bioRxiv.

DeepAnti-PhishNet: Applying deep neural networks for phishing email detection CEN-AISecurity@IWSPA-2018

K. P. Soman, Prabaharan Poornachandran, R. Vinayakumar, 2018 .

Distributed representation using target classes: Bag of tricks for security and privacy analytics Amrita-NLP@IWSPA-2018

K. P. Soman, R. Vinayakumar, H B Barathi Ganesh, 2018 .

A Deep Learning Approach for Similar Languages, Varieties and Dialects pdf

P SomanK., R. Vinayakumar, K VidyaPrasad, 2019, ArXiv.

RNNSecureNet: Recurrent neural networks for Cyber security use-cases pdf

P SomanK., R. Vinayakumar, R MohammedHarunBabu, 2019, ArXiv.

A short review on Applications of Deep learning for Cyber security pdf

P SomanK., R. Vinayakumar, R MohammedHarunBabu, 2018, ArXiv.

Deep rectified system for high-speed tracking in images

V. Sowmya, K. P. Soman, R. Vinayakumar, 2019, J. Intell. Fuzzy Syst..

Secure shell (ssh) traffic analysis with flow based features using shallow and deep networks

K. P. Soman, Prabaharan Poornachandran, R. Vinayakumar, 2017, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI).