Implementation of DES using pipelining concept with skew core key scheduling in secure transmission of images. - K. Praveen; Prabaharan Poornachandran; A. S. Remya Ajai (CCSEIT, 2012)

adsvm: pre-processor plug-in using support vector machine algorithm for Snort. - Annie George; Prabaharan Poornachandran; M. Ramachandra Kaimal (SECURIT, 2012)

Secure Authentication in Multimodal Biometric Systems Using Cryptographic Hash Functions. - Aravind Ashok; Prabaharan Poornachandran; Krishnashree Achuthan (SNDS, 2012)

Effective Implementation of DES Algorithm for Voice Scrambling. - Jinu Elizabeth John; A. S. Remya Ajai; Prabaharan Poornachandran (SNDS, 2012)

Performance Analysis and Improvement Using LFSR in the Pipelined Key Scheduling Section of DES. - P. V. Sruthi; Prabaharan Poornachandran; A. S. Remya Ajai (SNDS, 2012)

Ensemble Learning Approach for Author Profiling. - Surendran K; Gilad Gressel; Thara S; P. Hrudya; Aravind Ashok; Prabaharan Poornachandran (CLEF (Working Notes), 2014)

Human vs. Machine: Analyzing the Robustness of Advertisement Based Captchas. - Prabaharan Poornachandran; P. Hrudya; Jothis Reghunadh (SIRS, 2014)

Internet of Vulnerable Things (IoVT): Detecting Vulnerable SOHO Routers. - Prabaharan Poornachandran; R. Sreeram; Manu R. Krishnan; Soumajit Pal; A. U. Prem Sankar; Aravind Ashok (ICIT, 2015)

An efficient classification model for detecting advanced persistent threat. - Saranya Chandran; P. Hrudya; Prabaharan Poornachandran (ICACCI, 2015)

Detecting the network attack vectors on SCADA systems. - Ram Sandesh Ramachandruni; Prabaharan Poornachandran (ICACCI, 2015)

A lexical approach for classifying malicious URLs. - Michael C. Darling; Greg Heileman; Gilad Gressel; Aravind Ashok; Prabaharan Poornachandran (HPCS, 2015)

Condition Monitoring in Roller Bearings using Cyclostationary Features. - S. Sachin Kumar; Neethu Mohan; Prabaharan Poornachandran; K. P. Soman (WCI, 2015)

Drive-by-Download Malware Detection in Hosts by Analyzing System Resource Utilization Using One Class Support Vector Machines. - Prabaharan Poornachandran; S. Praveen; Aravind Ashok; Manu R. Krishnan; K. P. Soman (FICTA (2), 2016)

B-Secure: A Dynamic Reputation System for Identifying Anomalous BGP Paths. - A. U. Prem Sankar; Prabaharan Poornachandran; Aravind Ashok; Manu R. Krishnan; P. Hrudya (FICTA (1), 2016)

Hiper-ping: Data plane based high performance packet generation bypassing kernel on ×86 based commodity systems. - Aravind C. Ajayan; Prabaharan Poornachandran; Manu R. Krishnan; Soumajit Pal (ICACCI, 2016)

Effortless exchange of personal health records using near field communication. - V. G. Sujadevi; Twintu H. Kumar; A. S. Arunjith; P. Hrudya; Prabaharan Poornachandran (ICACCI, 2016)

MalJs: Lexical, Structural and Behavioral Analysis of Malicious JavaScripts Using Ensemble Classifier. - Surendran K; Prabaharan Poornachandran; Aravind Ashok Nair; Srinath N; Ysudhir Kumar; P. Hrudya (SSCC, 2016)

Deep learning model on stance classification. - Gayathri Rajendran; Prabaharan Poornachandran; Bhadrachalam Chitturi (ICACCI, 2017)

Imu sensor based self stabilizing cup for elderly and parkinsonism. - Vishnu Vidya; Prabaharan Poornachandran; V. G. Sujadevi; Meher Madhu Dharmana (ICACCI, 2017)

Long short-term memory based operation log anomaly detection. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (ICACCI, 2017)

Evaluating shallow and deep networks for secure shell (ssh)traffic analysis. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (ICACCI, 2017)

Deep encrypted text categorization. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (ICACCI, 2017)

Applying convolutional neural network for network intrusion detection. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (ICACCI, 2017)

Evaluating effectiveness of shallow and deep networks to intrusion detection system. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (ICACCI, 2017)

Deep android malware detection and classification. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (ICACCI, 2017)

Secure shell (ssh) traffic analysis with flow based features using shallow and deep networks. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (ICACCI, 2017)

Applying deep learning approaches for network traffic prediction. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (ICACCI, 2017)

Malsign: Threat analysis of signed and implicitly trusted malicious code. - Soumajit Pal; Prabaharan Poornachandran; Manu R. Krishnan; A. U. Prem Sankar; Parvathy Sasikala (PKIA, 2017)

Deep Stance and Gender Detection in Tweets on Catalan Independence@Ibereval 2017. - R. Vinayakumar; S. Sachin Kumar; B. Premjith; Prabaharan Poornachandran; Soman Kotti Padannayil (IberEval@SEPLN, 2017)

deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets. - R. Vinayakumar; B. Premjith; S. Sachin Kumar; K. P. Soman; Prabaharan Poornachandran (WASSA@EMNLP, 2017)

Evaluation of Recurrent Neural Network and its Variants for Intrusion Detection System (IDS). - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (Int. J. Inf. Syst. Model. Des., 2017)

Why so abnormal? Detecting domains receiving anomalous surge traffic in a monitored network. - Aravind Ashok; Prabaharan Poornachandran; Soumajit Pal; A. U. Prem Sankar; Surendran K (J. Intell. Fuzzy Syst., 2017)

A deep learning based Part-of-Speech (POS) tagger for Sanskrit language by embedding character level features. - B. Premjith; Soman K. P; Prabaharan Poornachandran (FIRE, 2018)

Code-Mixing: A Brief Survey. - S. Thara; Prabaharan Poornachandran (ICACCI, 2018)

Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security. - Rahul-Vigneswaran K; R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (ICCCNT, 2018)

S.P.O.O.F Net: Syntactic Patterns for identification of Ominous Online Factors. - Vysakh S. Mohan; R. Vinayakumar; Soman K. P; Prabaharan Poornachandran (IEEE Symposium on Security and Privacy Workshops, 2018)

Survey on Prevention, Mitigation and Containment of Ransomware Attacks. - Sumith Maniath; Prabaharan Poornachandran; V. G. Sujadevi (SSCC, 2018)

Deep-Net: Deep Neural Network for Cyber Security Use Cases. - R. Vinayakumar; Barathi Ganesh HB; Prabaharan Poornachandran; Anand Kumar M; Soman K. P (CoRR, 2018)

Evaluating deep learning approaches to characterize and classify malicious URL's. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (J. Intell. Fuzzy Syst., 2018)

Detecting malicious domain names using deep learning approaches at scale. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (J. Intell. Fuzzy Syst., 2018)

Evaluating deep learning approaches to characterize and classify the DGAs at scale. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran; S. Sachin Kumar (J. Intell. Fuzzy Syst., 2018)

Detecting Android malware using Long Short-term Memory (LSTM). - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran; S. Sachin Kumar (J. Intell. Fuzzy Syst., 2018)

Ransomware Triage Using Deep Learning: Twitter as a Case Study. - Vinayakumar R.; Mamoun Alazab; Alireza Jolfaei; Soman K. P.; Prabaharan Poornachandran (CCC, 2019)

Amrita_CEN@FACT: Factuality Identification in Spanish Text. - Bhavukam Premjith; Kutti Padanayl Soman; Prabaharan Poornachandran (IberLEF@SEPLN, 2019)

Deep Learning Approach for Intelligent Intrusion Detection System. - R. Vinayakumar; Mamoun Alazab; K. P. Soman; Prabaharan Poornachandran; Ameer Al-Nemrat; Sitalakshmi Venkatraman (IEEE Access, 2019)

Robust Intelligent Malware Detection Using Deep Learning. - R. Vinayakumar; Mamoun Alazab; K. P. Soman; Prabaharan Poornachandran; Sitalakshmi Venkatraman (IEEE Access, 2019)

A Compendium on Network and Host based Intrusion Detection Systems. - Rahul-Vigneswaran K; Prabaharan Poornachandran; Soman K. P (CoRR, 2019)

A Comparative Analysis of Deep Learning Approaches for Network Intrusion Detection Systems (N-IDSs): Deep Learning for N-IDSs. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (Int. J. Digit. Crime Forensics, 2019)

ScaleNet: Scalable and Hybrid Frameworkfor Cyber Threat Situational AwarenessBased on DNS, URL, and Email Data Analysis. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran; Vysakh S. Mohan; Amara Dinesh Kumar (J. Cyber Secur. Mobil., 2019)

Modern Methods for Signal Analysis and Its Applications. - K. P. Soman; S. Sachin Kumar; Neethu Mohan; Prabaharan Poornachandran (Recent Advances in Computational Intelligence, 2019)

DeepDGA-MINet: Cost-Sensitive Deep Learning Based Framework for Handling Multiclass Imbalanced DGA Detection. - R. Vinayakumar; K. P. Soman; Prabaharan Poornachandran (Handbook of Computer Networks and Cyber Security, 2020)

Transformer Based Language Identification for Malayalam-English Code-Mixed Text. - S. Thara; Prabaharan Poornachandran (IEEE Access, 2021)

Social media text analytics of Malayalam-English code-mixed using deep learning. - S. Thara; Prabaharan Poornachandran (J. Big Data, 2022)

Alzheimer's Detection and Prediction on MRI Scans: A Comparative Study. - Namrata Nair; Prabaharan Poornachandran; V. G. Sujadevi; M. Aravind (MIWAI, 2023)

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. - Neethu Mohan; S. Sachin Kumar; K. P. Soman; V. G. Sujadevi; Prabaharan Poornachandran; U. Rajendra Acharya (IEEE Access, 2023)