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ORCIDPrabaharan Poornachandran
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2020 – today
- 2023
[j13]Neethu Mohan
, S. Sachin Kumar, K. P. Soman, V. G. Sujadevi, Prabaharan Poornachandran, U. Rajendra Acharya:
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. IEEE Access 11: 39228-39242 (2023)- [c38]Namrata Nair, Prabaharan Poornachandran, V. G. Sujadevi, M. Aravind:
Alzheimer's Detection and Prediction on MRI Scans: A Comparative Study. MIWAI 2023: 245-254 - 2022
- [j12]S. Thara, Prabaharan Poornachandran:
Social media text analytics of Malayalam-English code-mixed using deep learning. J. Big Data 9(1): 45 (2022) - 2021
- [j11]S. Thara, Prabaharan Poornachandran:
Transformer Based Language Identification for Malayalam-English Code-Mixed Text. IEEE Access 9: 118837-118850 (2021) - 2020
- [p2]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
DeepDGA-MINet: Cost-Sensitive Deep Learning Based Framework for Handling Multiclass Imbalanced DGA Detection. Handbook of Computer Networks and Cyber Security 2020: 905-928
2010 – 2019
- 2019
- [j10]R. Vinayakumar, Mamoun Alazab, K. P. Soman, Prabaharan Poornachandran, Ameer Al-Nemrat, Sitalakshmi Venkatraman:
Deep Learning Approach for Intelligent Intrusion Detection System. IEEE Access 7: 41525-41550 (2019) - [j9]R. Vinayakumar, Mamoun Alazab, K. P. Soman, Prabaharan Poornachandran, Sitalakshmi Venkatraman:
Robust Intelligent Malware Detection Using Deep Learning. IEEE Access 7: 46717-46738 (2019) - [j8]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
A Comparative Analysis of Deep Learning Approaches for Network Intrusion Detection Systems (N-IDSs): Deep Learning for N-IDSs. Int. J. Digit. Crime Forensics 11(3): 65-89 (2019) - [j7]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran, Vysakh S. Mohan, Amara Dinesh Kumar:
ScaleNet: Scalable and Hybrid Frameworkfor Cyber Threat Situational AwarenessBased on DNS, URL, and Email Data Analysis. J. Cyber Secur. Mobil. 8(2): 189-240 (2019) - [c37]Vinayakumar R., Mamoun Alazab, Alireza Jolfaei, Soman K. P., Prabaharan Poornachandran:
Ransomware Triage Using Deep Learning: Twitter as a Case Study. CCC 2019: 67-73 - [c36]Bhavukam Premjith, Kutti Padanayl Soman, Prabaharan Poornachandran:
Amrita_CEN@FACT: Factuality Identification in Spanish Text. IberLEF@SEPLN 2019: 111-118 - [p1]K. P. Soman, S. Sachin Kumar, Neethu Mohan, Prabaharan Poornachandran:
Modern Methods for Signal Analysis and Its Applications. Recent Advances in Computational Intelligence 2019: 263-290 - [i2]Rahul-Vigneswaran K, Prabaharan Poornachandran, Soman K. P:
A Compendium on Network and Host based Intrusion Detection Systems. CoRR abs/1904.03491 (2019) - 2018
- [j6]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran, S. Sachin Kumar:
Evaluating deep learning approaches to characterize and classify the DGAs at scale. J. Intell. Fuzzy Syst. 34(3): 1265-1276 (2018) - [j5]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran, S. Sachin Kumar:
Detecting Android malware using Long Short-term Memory (LSTM). J. Intell. Fuzzy Syst. 34(3): 1277-1288 (2018) - [j4]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Evaluating deep learning approaches to characterize and classify malicious URL's. J. Intell. Fuzzy Syst. 34(3): 1333-1343 (2018) - [j3]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Detecting malicious domain names using deep learning approaches at scale. J. Intell. Fuzzy Syst. 34(3): 1355-1367 (2018) - [c35]B. Premjith, Soman K. P, Prabaharan Poornachandran:
A deep learning based Part-of-Speech (POS) tagger for Sanskrit language by embedding character level features. FIRE 2018: 56-60 - [c34]S. Thara, Prabaharan Poornachandran:
Code-Mixing: A Brief Survey. ICACCI 2018: 2382-2388 - [c33]Rahul-Vigneswaran K, R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security. ICCCNT 2018: 1-6 - [c32]Vysakh S. Mohan, R. Vinayakumar, Soman K. P, Prabaharan Poornachandran:
S.P.O.O.F Net: Syntactic Patterns for identification of Ominous Online Factors. IEEE Symposium on Security and Privacy Workshops 2018: 258-263 - [c31]Sumith Maniath, Prabaharan Poornachandran, V. G. Sujadevi:
Survey on Prevention, Mitigation and Containment of Ransomware Attacks. SSCC 2018: 39-52 - [i1]R. Vinayakumar, Barathi Ganesh HB, Prabaharan Poornachandran, Anand Kumar M, Soman K. P:
Deep-Net: Deep Neural Network for Cyber Security Use Cases. CoRR abs/1812.03519 (2018) - 2017
- [j2]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Evaluation of Recurrent Neural Network and its Variants for Intrusion Detection System (IDS). Int. J. Inf. Syst. Model. Des. 8(3): 43-63 (2017) - [j1]Aravind Ashok, Prabaharan Poornachandran, Soumajit Pal, A. U. Prem Sankar, Surendran K:
Why so abnormal? Detecting domains receiving anomalous surge traffic in a monitored network. J. Intell. Fuzzy Syst. 32(4): 2901-2907 (2017) - [c30]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Long short-term memory based operation log anomaly detection. ICACCI 2017: 236-242 - [c29]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Evaluating shallow and deep networks for secure shell (ssh)traffic analysis. ICACCI 2017: 266-274 - [c28]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Deep encrypted text categorization. ICACCI 2017: 364-370 - [c27]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Applying convolutional neural network for network intrusion detection. ICACCI 2017: 1222-1228 - [c26]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Evaluating effectiveness of shallow and deep networks to intrusion detection system. ICACCI 2017: 1282-1289 - [c25]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Deep android malware detection and classification. ICACCI 2017: 1677-1683 - [c24]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Secure shell (ssh) traffic analysis with flow based features using shallow and deep networks. ICACCI 2017: 2026-2032 - [c23]Vishnu Vidya, Prabaharan Poornachandran, V. G. Sujadevi, Meher Madhu Dharmana:
Imu sensor based self stabilizing cup for elderly and parkinsonism. ICACCI 2017: 2264-2269 - [c22]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Applying deep learning approaches for network traffic prediction. ICACCI 2017: 2353-2358 - [c21]Gayathri Rajendran, Prabaharan Poornachandran, Bhadrachalam Chitturi:
Deep learning model on stance classification. ICACCI 2017: 2407-2409 - [c20]Soumajit Pal, Prabaharan Poornachandran, Manu R. Krishnan, A. U. Prem Sankar, Parvathy Sasikala:
Malsign: Threat analysis of signed and implicitly trusted malicious code. PKIA 2017: 23-27 - [c19]R. Vinayakumar, S. Sachin Kumar, B. Premjith, Prabaharan Poornachandran, Soman Kotti Padannayil:
Deep Stance and Gender Detection in Tweets on Catalan Independence@Ibereval 2017. IberEval@SEPLN 2017: 222-229 - [c18]R. Vinayakumar, B. Premjith, S. Sachin Kumar, K. P. Soman, Prabaharan Poornachandran:
deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets. WASSA@EMNLP 2017: 259-263 - 2016
- [c17]Prabaharan Poornachandran, S. Praveen, Aravind Ashok, Manu R. Krishnan, K. P. Soman:
Drive-by-Download Malware Detection in Hosts by Analyzing System Resource Utilization Using One Class Support Vector Machines. FICTA (2) 2016: 129-137 - [c16]A. U. Prem Sankar, Prabaharan Poornachandran, Aravind Ashok, Manu R. Krishnan, P. Hrudya:
B-Secure: A Dynamic Reputation System for Identifying Anomalous BGP Paths. FICTA (1) 2016: 767-775 - [c15]Aravind C. Ajayan, Prabaharan Poornachandran, Manu R. Krishnan, Soumajit Pal:
Hiper-ping: Data plane based high performance packet generation bypassing kernel on ×86 based commodity systems. ICACCI 2016: 478-483 - [c14]V. G. Sujadevi, Twintu H. Kumar, A. S. Arunjith, P. Hrudya, Prabaharan Poornachandran:
Effortless exchange of personal health records using near field communication. ICACCI 2016: 1764-1769 - [c13]Surendran K, Prabaharan Poornachandran, Aravind Ashok Nair, Srinath N, Ysudhir Kumar, P. Hrudya:
MalJs: Lexical, Structural and Behavioral Analysis of Malicious JavaScripts Using Ensemble Classifier. SSCC 2016: 439-449 - 2015
- [c12]Prabaharan Poornachandran, R. Sreeram, Manu R. Krishnan, Soumajit Pal, A. U. Prem Sankar, Aravind Ashok:
Internet of Vulnerable Things (IoVT): Detecting Vulnerable SOHO Routers. ICIT 2015: 119-123 - [c11]Ram Sandesh Ramachandruni, Prabaharan Poornachandran:
Detecting the network attack vectors on SCADA systems. ICACCI 2015: 707-712 - [c10]Saranya Chandran, P. Hrudya, Prabaharan Poornachandran:
An efficient classification model for detecting advanced persistent threat. ICACCI 2015: 2001-2009 - [c9]Michael C. Darling, Greg Heileman, Gilad Gressel, Aravind Ashok, Prabaharan Poornachandran:
A lexical approach for classifying malicious URLs. HPCS 2015: 195-202 - [c8]S. Sachin Kumar, Neethu Mohan, Prabaharan Poornachandran, K. P. Soman:
Condition Monitoring in Roller Bearings using Cyclostationary Features. WCI 2015: 690-697 - 2014
- [c7]Surendran K, Gilad Gressel, Thara S, P. Hrudya, Aravind Ashok, Prabaharan Poornachandran:
Ensemble Learning Approach for Author Profiling. CLEF (Working Notes) 2014: 1148-1156 - [c6]Prabaharan Poornachandran, P. Hrudya, Jothis Reghunadh:
Human vs. Machine: Analyzing the Robustness of Advertisement Based Captchas. SIRS 2014: 477-489 - 2012
- [c5]K. Praveen, Prabaharan Poornachandran, A. S. Remya Ajai:
Implementation of DES using pipelining concept with skew core key scheduling in secure transmission of images. CCSEIT 2012: 637-641 - [c4]Annie George, Prabaharan Poornachandran, M. Ramachandra Kaimal:
adsvm: pre-processor plug-in using support vector machine algorithm for Snort. SECURIT 2012: 179-184 - [c3]Jinu Elizabeth John, A. S. Remya Ajai, Prabaharan Poornachandran:
Effective Implementation of DES Algorithm for Voice Scrambling. SNDS 2012: 75-84 - [c2]Aravind Ashok, Prabaharan Poornachandran, Krishnashree Achuthan:
Secure Authentication in Multimodal Biometric Systems Using Cryptographic Hash Functions. SNDS 2012: 168-177 - [c1]P. V. Sruthi, Prabaharan Poornachandran, A. S. Remya Ajai:
Performance Analysis and Improvement Using LFSR in the Pipelined Key Scheduling Section of DES. SNDS 2012: 215-224
Coauthor Index
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