P. Poornachandran

发表

Early Detection of Suicidal Predilection on Instagram Social Networking Service

K. Rohini, G. Rajendran, V. Arjun, 2019 .

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).

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

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

Electric Vehicle Scenario in India: Roadmap,Challenges and Opportunities

P. Poornachandran, K. Sreeram, P. Preetha, 2019, 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT).

Condition Monitoring in Roller Bearings using Cyclostationary Features

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

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

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

SUBJECT CLASSIFICATION (Example: RNOMICS)

P. Poornachandran, 2016 .

Social media text analytics of Malayalam–English code-mixed using deep learning

P. Poornachandran, S. Thara, 2022, Journal of Big Data.

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.

Ransomware Triage Using Deep Learning: Twitter as a Case Study

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

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..

Modern Methods for Signal Analysis and Its Applications

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

Recursive Variational Mode Decomposition Algorithm for Real Time Power Signal Decomposition

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

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).

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.

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).

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

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

Survey on Prevention, Mitigation and Containment of Ransomware Attacks

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

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

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

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.

Code-Mixing: A Brief Survey

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

Secure Authentication in Multimodal Biometric Systems Using Cryptographic Hash Functions

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

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@FACT: Factuality Identification in Spanish Text

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

MalHate : Hate Speech Detection in Malayalam Regional Language

G. Rajendran, P. Poornachandran, Vishnu Vijayan, 2022, 2022 IEEE 7th International Conference on Recent Advances and Innovations in Engineering (ICRAIE).

Apache Spark a Big Data Analytics Platform for Smart Grid

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

A lexical approach for classifying malicious URLs

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

Malicious Node Identification for DNS Data Using Graph Convolutional Networks

P. Poornachandran, A. M., Anu Vazhayil, 2022, 2022 IEEE 7th International Conference on Recent Advances and Innovations in Engineering (ICRAIE).

A Data-Driven Hybrid Methodology Using Randomized Low-Rank DMD Approximation and Flat-Top FIR Filter for Voltage Fluctuations Monitoring in Grid-Connected Distributed Generation Systems

K. P. Soman, N. Mohan, P. Poornachandran, 2023, IEEE Access.

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).

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).

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..

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.

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

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

Deep learning LSTM based ransomware detection

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

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..

A Compendium on Network and Host based Intrusion Detection Systems pdf

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

DBD: Deep Learning DGA-Based Botnet Detection

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

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).

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.

Finding Network Motifs: A comparative study between ILP and Symmetric Rank-One NMF

P. Poornachandran, Vinith Rejathalal, S. P, 2023, 2023 3rd International Conference on Intelligent Technologies (CONIT).

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..

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).

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

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

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

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

Automatic Modulation Classification using Convolutional Neural Network

K. P. Soman, K P Soman, S. Athira, 2016 .

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).

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).

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

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

Ensemble Learning Approach for Author Profiling

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

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).