G PADMAVATHI

Scopus Publications

ADAPTIVE FEATURE EXTRACTION FRAMEWORK FOR ROBUST FACE ANTI-SPOOFING WITH CROSS-DOMAIN GENERALIZATION
G PADMAVATHI KARTHIKA S
Journal of Theoretical and Applied Information Technology, 2026
Face spoofing detection is crucial for the security of facial recognition systems; however, many existing methods struggle to generalize across varying acquisition conditions such as changes in lighting, camera angles, and multiple types of spoofing attempts. To address this challenge, this work proposes a novel feature extraction framework that combines three advanced components: Adaptive Kernel Generator (AKG), Discrete Style Assembly (DSA), and Adaptive Style Transfer (AST). AKG dynamically adjusts feature extraction based on instance-specific characteristics, enhancing sensitivity to subtle variations in spoofing attacks. DSA categorizes input samples into distinct style categories, enabling synthesis of style-specific features that are resilient to different presentation attack instruments (PAIs) and environmental conditions. AST further refines feature representations by adaptively transferring stylistic information from reference images, ensuring consistency and accuracy across diverse scenarios. The framework is built upon a modified ResNet-18 backbone optimized for single-channel face inputs, serving as the initial feature extractor before enhancement by the AKG, DSA, and AST modules. The model is evaluated on Replay-Attack, SiW-Mv2, and OULU-NPU datasets, each offering unique variations in spoofing scenarios. Experimental results demonstrate that the proposed model outperforms a baseline ResNet-18 model, achieving up to 94% accuracy in cross-dataset testing, highlighting its effectiveness and improved generalization performance in real-world face spoofing detection. Unlike conventional face anti-spoofing methods that rely on fixed feature extractors or classifier-level adaptation, this work introduces a style-aware, feature-level adaptation strategy that improves cross-domain generalization without requiring target-domain data.
Face Anti-Spoofing Approach Using Randomized Gamma Correction Based Data Augmentation Technique
S. Karthika, G. Padmavathi, R. Bhuvaneshwari
Communications in Computer and Information Science, 2026
ResNet50-based deep convolutional neural network for zero-day attack prediction and detection
International Journal of Advanced Technology and Engineering Exploration, 2025
Adaptive Intrusion Detection System for Modern Networks using Deep Learning Technique
16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
Enhancing FGSM Attacks with Genetic Algorithms for Robust Adversarial Examples in Remote Sensing Image Classification Systems
P. Hemashree, G. Padmavathi
Communications in Computer and Information Science, 2025
Password Strength Checker using Machine Learning Techniques
16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
Enhancing Face Spoofing Detection Via CNN Model Integration with Normalized Features
S. Karthika, G. Padmavathi, R. Bhuvaneshwari, G. Samyuktha
Communications in Computer and Information Science, 2025
An intelligent obfuscated mobile malware detection using deep supervised learning algorithms
Padmavathi Ganapathi, Roshni Arumugam, Shanmugapriya Dhathathri
Bulletin of Electrical Engineering and Informatics, 2024
Obfuscated mobile malware (OMM) is a malicious software in mobile that hides to avoid detection and annihilation. These types of malwares are thorny to identify due to their inevitable nature. Deep learning (DL) algorithms are the most desirable to detect obfuscated malware based on the ‘n’ number of iterations with adjustable weights and neurons. This study investigates the accurate detection of OMM using significant DL algorithms such as multi-layer perceptron (MLP), self-organizing maps (SOM), long short-term memory (LSTM) networks, auto encoders (AE), and convolutional neural network (CNN) based on appropriate parameter tuning. The dataset taken for the study is CICMalMem2022 that contains 58,596 samples with 57 features which is basically designed for OMM detection. The dataset comprises Spyware, Ransomware, Trojan horse, and Benign. The DL models are evaluated based on performance metrics such as precision, recall, accuracy, training accuracy, test accuracy, validation accuracy, training loss, validation loss and receiver operating characteristic (ROC) curve. Based on the experimental evaluation, the study reveals that LSTM outperforms with 100% accuracy and MLP achieves 99.9% accuracy in detecting and classifying the OMM using deep supervised learning (SL) mechanism.
Encrypted Access Mapping in a Distinctly Routed Optimized Immune System to Prevent DoS Attack Variants in VANET Architecture
Rama Mercy. S.,, G. Padmavathi
International Journal of Computer Network and Information Security, 2024
The use of vehicle ad hoc networks (VANET) is increasing, VANET is a network in which two or more vehicles communicate with each other. The VANET architecture is vulnerable to various attacks, such as DoS and DDoS attacks hence various strategies were previously employed to combat these attacks, but the presence of end-to-end transparency and N-to-1 mapping of different IP addresses create failure in the blockage and not able to determine the twelve variants of DDoS attacks hence a novel technique, Encrypted Access Hex-tuple Mapping Attack detection was proposed, which uses triple random hyperbolic encryption, which performs triple random encoding to encrypt traffic signals and obtains the public key by plotting random values in hyperbola to strengthen the access control in the middlebox and Deep auto sparse impasse NN is used to detect twelve variant DDoS attacks in the VANET architecture. Moreover, to provide immunity against attack, the existing approach uses various artificial immune systems to prevent DDoS attacks but the selection of positive and negative clusters generates too many indicator packets. Hence a novel technique, Stable Automatic Optimized Cache Routing proposed, which uses a Deep trust factorization NN to detect irrational nodes without requiring prior negotiation about local outliner factor and direct evidence by automatically extracting trust factors of each node to manage the packet flows and detecting transmission of dangerous malware files in the network to prevent various types of hybrid DDoS attacks at VANET architecture. The proposed model is implemented in NS-3 to detect and prevent hybrid DDoS attacks.
Enhancing Zero-Day Attack Prediction a Hybrid Game Theory Approach with Neural Networks
International Journal of Intelligent Systems and Applications in Engineering, 2024
Resilience in Remote Sensing Image Classification: Evaluating Deep Learning Models Against Adversarial Attacks
Hemashree P, Padmavathi G
2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024
Intensity-Chromaticity-Luminance (ICL) Based Technique for Face Spoofing Detection
S. Karthika, G. Padmavathi
Communications in Computer and Information Science, 2024
Evaluation of Selected Supervised Machine Learning Models for Phishing Website Detection
15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
Detection of Obfuscated Malware using Ensemble Learning Techniques
15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
A Stacked Ensemble Model to Detect Network Intrusions
15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
Detecting Cross-Site Scripting Attack using Machine Learning Algorithms
S Karthika, G Padmavathi, A Roshni, S Varshini
Proceedings of the 18th Indiacom 2024 11th International Conference on Computing for Sustainable Global Development Indiacom 2024, 2024
Performance Analysis of Cyberbullying Threats in Social Media using Machine Learning Techniques
D. Nethra Pingala Suthisini, J. Juliet Merlien, D. Shanmugapriya, G. Padmavathi, A. Roshni
Proceedings of the 18th Indiacom 2024 11th International Conference on Computing for Sustainable Global Development Indiacom 2024, 2024
Cloud Insider Threat Detection using Deep Learning Models
D. Shanmugapriya, C. J. Dhanya, S. Asha, G. Padmavathi, D. Nethra Pingala Suthisini
Proceedings of the 18th Indiacom 2024 11th International Conference on Computing for Sustainable Global Development Indiacom 2024, 2024
Panthera Leo Optimized Multilayer Feed Forward Learning-Based Intrusion Detection Model for Cloud
M. Kalaivani, G. Padmavathi
SN Computer Science, 2023
Classification of firewall log files using supervised machine learning techniques
Sri Danalaksmi, Geethalakshmi, A. Roshni, Padmavathi Ganapathi
Malware Analysis and Intrusion Detection in Cyber Physical Systems, 2023
Wrapper-based feature selection for detecting the lexical phishing websites using ensemble learning algorithms
M. Gaayathri, Padmavathi Ganapathi, A. Roshni, D. Shanmugapriya
Malware Analysis and Intrusion Detection in Cyber Physical Systems, 2023
Self-healing AIS with Entropy Based SVM and Bayesian Aggregate Model for the Prediction and Isolation of Malicious Nodes Triggering DoS Attacks in VANET
Rama Mercy. S.,, G. Padmavathi
International Journal of Computer Network and Information Security, 2023
Hybrid Detection and Mitigation of DNS Protocol MITM attack based on Firefly algorithm with Elliptical Curve Cryptography
Sabitha Banu. A., G. Padmavathi
Eai Endorsed Transactions on Pervasive Health and Technology, 2023
Ensembling of Attention-based Recurrent Units for Detection and Mitigation of Multiple Attacks in Cloud
Kalaivani M, Padmavathi G
International Journal of Advanced Computer Science and Applications, 2023
Strategic-level Framework with Combined Feature Engineering, Bio-inspired Optimization and ML for Detecting DDos Flooding Attacks in Cloud
14th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2023, 2023
Hybrid Ensemble based Feature Engineering for Detecting Direct DDOS Flooding Attack in Cloud
14th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2023, 2023
Selection of Robust Text-Based CAPTCHA Using TensorFlow Object Detection Method
R. Menaka, G. Padmavathi
Lecture Notes in Networks and Systems, 2023
Malicious insider threat detection using variation of sampling methods for anomaly detection in cloud environment
Asha S, Shanmugapriya D, Padmavathi G
Computers and Electrical Engineering, 2023
Detection of Iris Template Attacks using Machine Learning and Deep Learning Methods
Proceedings of the 17th Indiacom 2023 10th International Conference on Computing for Sustainable Global Development Indiacom 2023, 2023
Hybrid Detection and Mitigation of DNS Protocol MITM attack based on Firefly algorithm with Elliptical Curve Cryptography
Sabitha Banu. A., Dr. G. Padmavathi
Eai Endorsed Transactions on Pervasive Health and Technology, 2022
Taxonomy of UAVs GPS Spoofing and Jamming Attack Detection Methods
A. Sabitha Banu, G. Padmavathi
Studies in Computational Intelligence, 2022
A Framework to Detect the Malicious Insider Threat in Cloud Environment using Supervised Learning Methods
G. Padmavathi, D. Shanmugapriya, S. Asha
Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development Indiacom 2022, 2022
Performance Analysis of Unsupervised Machine Learning Methods for Mobile Malware Detection
G. Padmavathi, D. Shanmugapriya, A. Roshni
Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development Indiacom 2022, 2022
An Investigation of Unmanned Aerial Vehicle Surveillance Data Processing with Big Data Analytics
N. Vanitha, G. Padmavathi, V. Indu priya, S. Lavanya
Studies in Big Data, 2022
Investigation on Challenges of Big Data Analytics in UAV Surveillance
N. Vanitha, G. Padmavathi, P. Nivedha, K. Bhuvana
Studies in Computational Intelligence, 2022
Enhanced prediction for investment portfolio management using multiple kernel-based long short-term memory-network for nickel price prediction
G. Padmavathi, N. Valliammal, Barani Shaju, Anandkumar Balasubramaniam, Anand Paul
2020 8th International Conference on Orange Technology Icot 2020, 2020
GOF-SLFN- An Intelligent Attack Detection System against Denial of Service (DoS) attacks based on Glow Worm Swarm optimized Single Layer Feed Forward Networks for vehicular Cyber Physical Systems (VCPS)
Rama Mercy Sam Sigamani, Padmavathi Ganapathi
Iop Conference Series Materials Science and Engineering, 2020
A survey on various intrusion detection system tools and methods in cloud computing
Proceedings of the 2019 6th International Conference on Computing for Sustainable Global Development Indiacom 2019, 2019
A framework for improving the accuracy of keystroke dynamics-based biometric authentication using soft computing techniques
Shanmugapriya D., Padmavathi Ganapathi
Biometric Authentication in Online Learning Environments, 2019
A comprehensive study on machine learning and optimization methods to mitigate denial of service attacks in hybrid intrusion detection system
J. Lekha, G. Padmavathi, A.S. Vimal, S. Shijumon, K. Lakshanaa
Proceedings of the International Conference on Intelligent Sustainable Systems Iciss 2019, 2019
Taxonomy of Security Attacks and Risk Assessment of Cloud Computing
M. Swathy Akshaya, G. Padmavathi
Advances in Intelligent Systems and Computing, 2019
A Comparative Study on Communication Architecture of Unmanned Aerial Vehicles and Security Analysis of False Data Dissemination Attacks
N Vanitha, G Padmavathi
Proceedings of the 2018 International Conference on Current Trends Towards Converging Technologies Icctct 2018, 2018
Technological impact on higher education-challenges and opportunities from the perception of two important segments
International Journal of Engineering and Advanced Technology, 2018
A Study on Various Cyber-Attacks and their Classification in UAV Assisted Vehicular Ad-Hoc Networks
N. Vanitha, G. Padmavathi
Communications in Computer and Information Science, 2018
Detection of illegal traffic pattern using hybrid improved CART and multiple extreme learning machine approach
International Journal of Communication Networks and Information Security, 2017
Advanced random Time Queue Blocking with traffic prediction for defense of low-rate DoS attacks against application servers
International Journal of Communication Networks and Information Security, 2017
Advanced random time queue blocking for effective protection of application servers against low-rate dos attacks
International Journal of Network Security, 2017
A wrapper-based classification approach for personal identification through keystroke dynamics using soft computing techniques
Shanmugapriya D., Padmavathi Ganapathi
Identity Theft Breakthroughs in Research and Practice, 2016
A wrapper-based classification approach for personal identification through keystroke dynamics using soft computing techniques
Shanmugapriya D., Padmavathi Ganapathi
Developing Next Generation Countermeasures for Homeland Security Threat Prevention, 2016
Detecting sinkhole attack in wireless sensor network using enhanced particle swarm optimization technique
G. Keerthana, G. Padmavathi
International Journal of Security and Its Applications, 2016
Malicious traffic detection and containment based on connection attempt failures using kernelized elm with automated worm containment algorithm
S. Divya, G. Padmavathi
Indian Journal of Science and Technology, 2016
Replica Node Detection Using Enhanced Single Hop Detection with Clonal Selection Algorithm in Mobile Wireless Sensor Networks
L. S. Sindhuja, G. Padmavathi
Journal of Computer Networks and Communications, 2016
Comparative analysis of R package classifiers using breast cancer dataset
Sudhamathy G., Thilagu M., Padmavathi G.
International Journal of Engineering and Technology, 2016
Ensuring security on mobile device data with two phase RSA algorithm over cloud storage
Journal of Theoretical and Applied Information Technology, 2015
An integrated network behavior and policy based data exfiltration detection framework
R. Rajamenakshi, G. Padmavathi
Advances in Intelligent Systems and Computing, 2015
A improved pca basedzero crossing feature extraction for real-timebiometric Iris authentication inlow power resource constrained mobile devices
International Journal of Applied Engineering Research, 2015
Clone detection using enhanced EDD (EEDD) with danger theory in mobile wireless sensor network
L. S. Sindhuja, G. Padmavathi
International Journal of Security and Its Applications, 2015
Mobile device data security: A cryptographic approach by outsourcing mobile data to cloud
M. Sujithra, G. Padmavathi, Sathya Narayanan
Procedia Computer Science, 2015
Enhanced decoy based moving target defense mechanism with improved quality of service to handle cyber attacks in wireless networks
International Journal of Applied Engineering Research, 2014
Packet payload monitoring for internet worm content detection using deterministic finite automaton with delayed dictionary compression
Divya Selvaraj, Padmavathi Ganapathi
Journal of Computer Networks and Communications, 2014
A novel method for detection of internet worm malcodes using principal component analysis and multiclass support vector machine
S. Divya, G. Padmavathi
International Journal of Security and Its Applications, 2014
A survey on various cyber attacks and their classification
International Journal of Network Security, 2013
Feature subset selection using PSO-ELM-ANP wrapper approach for keystroke dynamics
D. Shanmugapriya, G. Padmavathi
Lecture Notes in Electrical Engineering, 2013
A wrapper based feature subset selection using ACO-ELM-ANP and GA-ELM-ANP approaches for keystroke dynamics authentication
D. Shanmugapriya, G. Padmavathi
International Conference on Signal Processing Image Processing and Pattern Recognition 2013 Icsipr 2013, 2013
Next generation biometric security system, An approach for mobile device security
M. Sujithra, G. Padmavathi
ACM International Conference Proceeding Series, 2012
FAutoREDWithRED: An algorithm to increase the fairness in Internet routers
K. Chitra, G. Padmavathi
Advanced Materials Research, 2012
FAutoREDwithRED: An algorithm to reduce queue oscillation in Internet routers
K. Chitra, G. Padmavathi
Compute 2011 4th Annual ACM Bangalore Conference, 2011
FAutoREDWithRED: To increase the overall performance of internet routers
K. Chitra, G. Padmavathi
Communications in Computer and Information Science, 2011
Kernel principal component analysis feature detection and classification for underwater images
G. Padmavathi, M. Muthukumar, Suresh Kumar Thakur
Proceedings 2010 3rd International Congress on Image and Signal Processing Cisp 2010, 2010
A study on impulse noise removal for varied noise densities
V. Radhika, G. Padmavathi
Proceedings of the 1st Amrita ACM W Celebration of Women in Computing in India A2cwic 10, 2010
Secure and Revocable Multibiometric Templates Using Fuzzy Vault for Fingerprint and Iris
V. S. Meenakshi, G. Padmavathi
Communications in Computer and Information Science, 2010
Keystroke Dynamics Authentication Using Neural Network Approaches
Venkateswaran Shanmugapriya, Ganapathi Padmavathi
Communications in Computer and Information Science, 2010
Kernel principal component analysis feature detection for underwater images
Ganapathi Padmavathi, M. Muthukumar, Suresh Kumar Thakur
Advanced Materials Research, 2010
Neural network approaches and MSPCA in vehicle acoustic signal classification using wireless sensor networks
G. Padmavathi, D. Shanmugapriya, M. Kalaivani
2010 IEEE International Conference on Communication Control and Computing Technologies Icccct 2010, 2010
Hybrid routing protocols to secure network layer for mobile Ad Hoc Networks
G. Padmavathi, P. Subashini, D. Devi Aruna
2010 IEEE International Conference on Computational Intelligence and Computing Research Iccic 2010, 2010
Digital watermarking technique in vehicle identification using Wireless Sensor Networks
G. Padmavathi, D. Shanmugapriya, M. Kalaivani
Icacte 2010 2010 3rd International Conference on Advanced Computer Theory and Engineering Proceedings, 2010
Implementation and comparison of different segmentation algorithms used for underwater images based on nonlinear objective assessments
G. Padmavathi, M. Muthukumar, Suresh Kumar Thakur
Icacte 2010 2010 3rd International Conference on Advanced Computer Theory and Engineering Proceedings, 2010
Acoustic signal based Feature Extraction for vehicular classification
G. Padmavathi, D. Shanmugapriya, M. Kalaivani
Icacte 2010 2010 3rd International Conference on Advanced Computer Theory and Engineering Proceedings, 2010
Energy efficient CBMT for secure multicast key distribution in mobile ad hoc networks
D. Suganyadevi, G. Padmavathi
Procedia Computer Science, 2010
Energy conservation of multicast key distribution in mobile adhoc networks
Devaraju Suganya Devi, Ganapathi Padmavathi
Communications in Computer and Information Science, 2010
Security analysis of password hardened multimodal biometric fuzzy vault with combined feature points extracted from fingerprint, iris and retina for high security applications
V.S. Meenakshi, Dr.G. Padmavathi
Procedia Computer Science, 2010
Performance efficient EOMCT algorithm for secure multicast key distribution for mobile adhoc networks
SuganyaDevi D., G. Padmavathi
Artcom 2009 International Conference on Advances in Recent Technologies in Communication and Computing, 2009
Security analysis of hardened retina based fuzzy vault
V.S. Meenakshi, G. Padmavathi
Artcom 2009 International Conference on Advances in Recent Technologies in Communication and Computing, 2009
Performance analysis of non linear filtering algorithms for underwater images
Proceedings of the 2nd Wseas International Conference on Sensors and Signals Sensig 09 Visualization Imaging and Simulation Vis 09 Materials Science Materials 09, 2009
Performance evaluation of the various edge detectors and filters for the noisy IR images
Proceedings of the 2nd Wseas International Conference on Sensors and Signals Sensig 09 Visualization Imaging and Simulation Vis 09 Materials Science Materials 09, 2009
A reliable secure multicast key distribution scheme for mobile adhoc networks
World Academy of Science Engineering and Technology, 2009
Security analysis of password hardened multimodal biometric fuzzy vault
World Academy of Science Engineering and Technology, 2009
A survey of design pattern based web applications
R. Sridaran, G. Padmavathi, K. Iyakutti
Journal of Object Technology, 2009
Storage efficient key management technique for secure multicasting
Journal of Information Science and Engineering, 2006
A security framework for Content-Based Publish-Subscribe system
G. Padmavathi, S. Annadurai
Electronic Commerce Research and Applications, 2006
Design of optimum key tree with minimized overheads for secure multicasting using genetic algorithm
Annadurai Samukutty, Padmavathi Ganapathi
IETE Journal of Research, 2006
Improved key management technique for secure multicasting over IP
G. Padmavathi, S. Annadurai
Journal of Network and Systems Management, 2005

G PADMAVATHI

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