vinaykumar R

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I am a Data science practitioner. I like to tinkering with data both professionally and in my leisure time. Mostly i use machine learning, data mining and deep learning strategies for large-scale, high dimensional, noisy data sets whether it involves cyber security or natural language processing. Recently I have participated in CDMC 2016 tasks and ISMIS 2017 task. Currently doing course work on scientific computing;Learning Cheb function, Working on Applying Deep learning approach for the shared tasks of VarDial 2017 My research interests include but not limited to the areas of applying machine learning, data mining and deep learning techniques to network traffic analysis, analyzing en...

cybersecurity android malware intrusion detection traffic analysis cybersecuriy network traffic prediction deep learning long short-term memory anomaly detection ransomware text caegorization encrypted malicious domain names atrial fibrillation ecg malicious url lstm domain generation algorithms

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vinaykumar R

Presentations

Icacci2017 poster template

Icacci presentation- deep android

Icacci presentation-anomaly

Icacci presentation-isi-ransomware

Icacci presentation-isi-text categorization

Icacci presentation-ssh traffic

Icacci presentation-cnn intrusion

Icacci presentation-intrusion

Icacci presentation-isi-ssh traffic

Ista presentation-apache spark

Ista presentation-malicious url

Ista presentation-ecg

Ista presentation-android

Ista presentation-dga

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Robust Malware Detection using Residual Attention Network

Deep Convolutional Neural Network based Intrusion Detection System

Towards Evaluating the Robustness of Deep Intrusion Detection Models in Adversarial Environment

Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security

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

Deep Learning Approach for Enhanced Cyber Threat Indicators in Twitter Stream