R. Vinayakumar

发表

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.

Amrita-CEN-SentiDB: Twitter Dataset for Sentimental Analysis and Application of Classical Machine Learning and Deep Learning

K. P. Soman, R. Vinayakumar, K S Naveenkumar, 2019, ICICCS 2019.

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).

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).

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

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

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.

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).

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

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

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).

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

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

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

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

Siamese neural network architecture for homoglyph attacks detection

R. Vinayakumar, P. SomanK., 2020, ICT Express.

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

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

Automated detection of cardiac arrhythmia using deep learning techniques

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

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).

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

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

Detecting malicious domain names using deep learning approaches at scale

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

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).

Machine learning based phishing E-mail detection Security-CEN@Amrita

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

Deep rectified system for high-speed tracking in images

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

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).

Emotion Detection using Data Driven Models pdf

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

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).

DeepAirNet: Applying Recurrent Networks for Air Quality Prediction

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

Diabetes detection using deep learning algorithms

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

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

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

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

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

NLP CEN AMRITA @ SMM4H: Health Care Text Classification through Class Embeddings

K. P. Soman, R. Vinayakumar, M. Anand Kumar, 2017, SMM4H@AMIA.

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).

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

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

Deep Health Care Text Classification pdf

K. P. Soman, R. Vinayakumar, M. Anand Kumar, 2017, ArXiv.

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.

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

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

A Comparative Analysis of Deep Learning Approaches for Network Intrusion Detection Systems (N-IDSs): Deep Learning for N-IDSs

K. P. Soman, Prabaharan Poornachandran, R. Vinayakumar, 2019, Int. J. Digit. Crime Forensics.

deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets

B. Premjith, K. P. Soman, Prabaharan Poornachandran, 2017, WASSA@EMNLP.

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 .

A Deep-dive on Machine Learning for Cyber Security Use Cases

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

DeepImageSpam: Deep Learning based Image Spam Detection pdf

K. P. Soman, R. Vinayakumar, Amara Dinesh Kumar, 2018, ArXiv.

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..

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

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

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).

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

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

Convolutional Neural Networks for Fingerprint Liveness Detection System

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

Application of Deep Learning Architectures for Cyber Security

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

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

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

PED-ML: Phishing email detection using classical machine learning techniques CENSec@Amrita

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

Capsule Neural Networks and Visualization for Segregation of Plastic and Non-Plastic Wastes

R. Vinayakumar, S. Akarsh, K P Soman, 2019 .

AMRITA-CEN@SAIL2015: Sentiment Analysis in Indian Languages

K. P. Soman, R. Vinayakumar, M. Anand Kumar, 2015, MIKE.

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

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

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 .

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).

Deep Learning Framework for Cyber Threat Situational Awareness Based on Email and URL Data Analysis

Mohamed Elhoseny, K. P. Soman, Prabaharan Poornachandran, 2019 .

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

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

Anomaly Detection in Phonocardiogram Employing Deep Learning

R. Vinayakumar, K. P. Soman, V. G. Sujadevi, 2019 .

Deep Stance and Gender Detection in Tweets on Catalan Independence@Ibereval 2017

B. Premjith, Prabaharan Poornachandran, R. Vinayakumar, 2017, IberEval@SEPLN.

Cost-Sensitive Long Short-Term Memory for Imbalanced DGA Family Categorization

R. Vinayakumar, K. P. Soman, R. Mohammed Harun Babu, 2020 .

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 machine learning approach towards phishing email detection CEN-Security@IWSPA 2018

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

Deep encrypted text categorization

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

Diabetes Detection Using ECG Signals: An Overview

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

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).

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).

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.

Robust Intelligent Malware Detection Using Deep Learning

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

Predicting the Sentimental Reviews in Tamil Movie using Machine Learning Algorithms

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

Unsupervised Deep Learning Approach for In-Vehicle Intrusion Detection System

R. Vinayakumar, Nazeeruddin Mohammad, Harini Narasimhan, 2021, IEEE Consumer Electronics Magazine.

A.R.E.S: Automatic rogue email spotter crypt coyotes

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

DEFT 2017 - Texts Search @ TALN / RECITAL 2017: Deep Analysis of Opinion and Figurative language on Tweets in French

B. Premjith, S SachinKumar, Prabaharan Poornachandran, 2017 .