Prabaharan Poornachandran

发表

A deep learning based Part-of-Speech (POS) tagger for Sanskrit language by embedding character level features

B. Premjith, P SomanK., Prabaharan Poornachandran, 2018, FIRE.

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.

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).

A lexical approach for classifying malicious URLs

Prabaharan Poornachandran, Aravind Ashok, Michael Darling, 2015, 2015 International Conference on High Performance Computing & Simulation (HPCS).

Recursive Variational Mode Decomposition Algorithm for Real Time Power Signal Decomposition

K. P. Soman, Prabaharan Poornachandran, S. Athira, 2015 .

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

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

Deep learning based Character-level approach for Morphological Inflection Generation

Prabaharan Poornachandran, Vidya Prasad K, Premjith B, 2019, 2019 International Conference on Intelligent Computing and Control Systems (ICCS).

Deep Learning Approach for Intelligent Intrusion Detection System

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

Suppressing Parkinson's diseases induced involuntary movements using wearables

Prabaharan Poornachandran, Meher Madhu Dharmana, Vishnu Vidya, 2017, 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy).

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..

Modern Methods for Signal Analysis and Its Applications

K. P. Soman, Prabaharan Poornachandran, S. Sachin Kumar, 2019, Recent Advances in Computational Intelligence.

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

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

Apache Spark a Big Data Analytics Platform for Smart Grid

K. P. Soman, K. P. Soman, Prabaharan Poornachandran, 2015 .

DBD: Deep Learning DGA-Based Botnet Detection

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

Context-Aware Public Safety in a Pervasive Environment

Prabaharan Poornachandran, Shivsubramani Krishnamoorthy, Sujadevi Vijaya Gangadharan, 2017 .

Performance Analysis and Improvement Using LFSR in the Pipelined Key Scheduling Section of DES

Prabaharan Poornachandran, A. S. Remya Ajai, P. V. Sruthi, 2012, SNDS.

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).

Hiper-ping: Data plane based high performance packet generation bypassing kernel on ×86 based commodity systems

Prabaharan Poornachandran, Aravind C. Ajayan, Manu R. Krishnan, 2016, 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Drive-by-Download Malware Detection in Hosts by Analyzing System Resource Utilization Using One Class Support Vector Machines

K. P. Soman, Prabaharan Poornachandran, Aravind Ashok, 2016, FICTA.

Stylometry detection using deep learning

Prabaharan Poornachandran, K. Surendran, O. P. Harilal, 2017 .

Detecting malicious domain names using deep learning approaches at scale

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

Ransomware Triage Using Deep Learning: Twitter as a Case Study

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

An Optimization Algorithm for Voltage Flicker Analysis

K. P. Soman, Prabaharan Poornachandran, K. Harikumar, 2015 .

Deep learning LSTM based ransomware detection

Prabaharan Poornachandran, Aravind Ashok, V G Sujadevi, 2017, 2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE).

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).

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).

Amrita_CEN@FACT: Factuality Identification in Spanish Text

Prabaharan Poornachandran, K. P. Soman, Bhavukam Premjith, 2019, IberLEF@SEPLN.

Ensemble Learning Approach for Author Profiling

S Thara, Prabaharan Poornachandran, Aravind Ashok, 2014, CLEF.

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

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

Modified Variational Mode Decomposition for Power Line Interference Removal in ECG Signals

S SachinKumar, Prabaharan Poornachandran, K P Soman, 2016 .

Why so abnormal? Detecting domains receiving anomalous surge traffic in a monitored network

Prabaharan Poornachandran, Aravind Ashok, Soumajit Pal, 2017, J. Intell. Fuzzy Syst..

A Compendium on Network and Host based Intrusion Detection Systems pdf

P SomanK., Prabaharan Poornachandran, K Rahul-Vigneswaran, 2019, Lecture Notes in Electrical Engineering.

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.

Effortless exchange of personal health records using near field communication

Prabaharan Poornachandran, V. G. Sujadevi, P. Hrudya, 2016, 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Dynamic Mode-Based Feature with Random Mapping for Sentiment Analysis

K. P. Soman, M. Anand Kumar, Prabaharan Poornachandran, 2020 .

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.

Spoofing technique to counterfeit the GPS receiver on a drone

Prabaharan Poornachandran, Meher Madhu Dharmana, V G Sujadevi, 2017, 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy).

Code-Mixing: A Brief Survey

Prabaharan Poornachandran, S. Thara, P. Poornachandran, 2018, 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets

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

Deep learning architecture for big data analytics in detecting intrusions and malicious URL

K. P. Soman, Prabaharan Poornachandran, Mamoun Alazab, 2019 .

Internet of Vulnerable Things (IoVT): Detecting Vulnerable SOHO Routers

Prabaharan Poornachandran, Aravind Ashok, Manu R. Krishnan, 2015, 2015 International Conference on Information Technology (ICIT).

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..

Demalvertising: A Kernel Approach for Detecting Malwares in Advertising Networks

Prabaharan Poornachandran, Aravind Ashok, Manu R. Krishnan, 2017 .

Survey on Prevention, Mitigation and Containment of Ransomware Attacks

Prabaharan Poornachandran, V G Sujadevi, Sumith Maniath, 2018, SSCC.

adsvm: pre-processor plug-in using support vector machine algorithm for Snort

Prabaharan Poornachandran, M. Ramachandra Kaimal, Annie George, 2012, SecurIT '12.

A Detailed Investigation and Analysis of Deep Learning Architectures and Visualization Techniques for Malware Family Identification

K. P. Soman, Prabaharan Poornachandran, S. Akarsh, 2019, Advanced Sciences and Technologies for Security Applications.

Deep learning model on stance classification

Bhadrachalam Chitturi, Prabaharan Poornachandran, Gayathri Rajendran, 2017, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Effectiveness of Email Address Obfuscation on Internet

Prabaharan Poornachandran, Aravind Ashok, Soumajit Pal, 2016 .

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

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

Deep Learning Framework for Domain Generation Algorithms Prediction Using Long Short-term Memory

Prabaharan Poornachandran, K P Soman, Vijay Krishna Menon, 2019, 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS).

Secure Authentication in Multimodal Biometric Systems Using Cryptographic Hash Functions

Prabaharan Poornachandran, Aravind Ashok, Krishnashree Achuthan, 2012, SNDS.

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..

Personal Health Data Exchange Using NFC

Prabaharan Poornachandran, P. Hrudya, Suja Devi, 2014 .

Password Reuse Behavior: How Massive Online Data Breaches Impacts Personal Data in Web

Prabaharan Poornachandran, Aravind Ashok, Soumajit Pal, 2016 .

Enhanced Domain Generating Algorithm Detection Based on Deep Neural Networks

K. P. Soman, Prabaharan Poornachandran, Mamoun Alazab, 2019 .

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 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).

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.

Ensemble Learning Approach for Author Profiling Notebook for PAN at CLEF 2014

Prabaharan Poornachandran, Gilad Gressel, S Thara, 2014 .

Audio Data Authentication with PMU Data and EWT

Prabaharan Poornachandran, Neethu Mohan, K. P. Soman, 2015 .

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

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

Imu sensor based self stabilizing cup for elderly and parkinsonism

Prabaharan Poornachandran, Meher Madhu Dharmana, V. G. Sujadevi, 2017, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

MalJs: Lexical, Structural and Behavioral Analysis of Malicious JavaScripts Using Ensemble Classifier

Prabaharan Poornachandran, P. Hrudya, K Surendran, 2016, SSCC.

Development of SCADA automated 33kV substation model as testing platform

Prabaharan Poornachandran, P. Kanakasabapathy, Soumajit Pal, 2015, 2015 International Conference on Industrial Instrumentation and Control (ICIC).

Demalvertising: A Probabilistic Approach for Detecting Malwares in Advertising Networks

Prabaharan Poornachandran, Soumajit Pal, N. Balagopal, 2014 .

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

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

Effective Implementation of DES Algorithm for Voice Scrambling

Prabaharan Poornachandran, A. S. Remya Ajai, Jinu Elizabeth John, 2012, SNDS.

B-Secure: A Dynamic Reputation System for Identifying Anomalous BGP Paths

Prabaharan Poornachandran, Aravind Ashok, Manu R. Krishnan, 2016, FICTA.

Malsign: Threat analysis of signed and implicitly trusted malicious code

Prabaharan Poornachandran, Manu R. Krishnan, Soumajit Pal, 2017, 2017 International Conference on Public Key Infrastructure and its Applications (PKIA).

Scalable framework for cyber threat situational awareness using domain name systems and border gateway protocol data analysis

Prabaharan Poornachandran, 2016 .

Stance-In-Depth Deep Neural Approach to Stance Classification

Bhadrachalam Chitturi, Prabaharan Poornachandran, Gayathri Rajendran, 2018 .

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

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

Forepart Based Captcha Segmentation And Recognition Using Dft

Prabaharan Poornachandran, Hrudya Poroli, G GopikaN, 2013 .

Condition Monitoring in Roller Bearings using Cyclostationary Features

K. P. Soman, Prabaharan Poornachandran, K. P. Soman, 2015, WCI '15.

Deep encrypted text categorization

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

Deep Temporal Analysis of Twitter Bots

Prabaharan Poornachandran, Vishnu Vijayan, Gayathri Rajendran, 2019 .

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.

An efficient classification model for detecting advanced persistent threat

Prabaharan Poornachandran, P. Hrudya, Saranya Chandran, 2015, 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Robust Intelligent Malware Detection Using Deep Learning

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

Breach detection and mitigation of UAVs using deep neural network

Prabaharan Poornachandran, Meher Madhu Dharmana, V G Sujadevi, 2017, 2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE).

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.

Detecting the network attack vectors on SCADA systems

Prabaharan Poornachandran, Ram Sandesh Ramachandruni, 2015, 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Implementation of DES using pipelining concept with skew core key scheduling in secure transmission of images

Prabaharan Poornachandran, A. S. Remya Ajai, K. Praveen, 2012, CCSEIT '12.

Deep Learning Framework and Visualization for Malware Classification

Prabaharan Poornachandran, Vijay Krishna Menon, Akarsh S, 2019, 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS).

Human vs. Machine: Analyzing the Robustness of Advertisement Based Captchas

Prabaharan Poornachandran, P. Hrudya, Jothis Reghunadh, 2014, SIRS.

Transformer Based Language Identification for Malayalam-English Code-Mixed Text

Prabaharan Poornachandran, S. Thara, P. Poornachandran, 2021, IEEE Access.

Digital image forgery detection on artificially blurred images

Prabaharan Poornachandran, Lekha S. Nair, P. Hrudya, 2013, 2013 International Conference on Emerging Trends in Communication, Control, Signal Processing and Computing Applications (C2SPCA).

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 .