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Kaushik Roy 0003
Person information
- affiliation: North Carolina State University, Raleigh, NC, USA
Other persons with the same name
- Kaushik Roy — disambiguation page
- Kaushik Roy 0001
— Purdue University, West Lafayette, IN, USA
- Kaushik Roy 0002 — Concordia University, Institute for Information Systems Engineering, Montreal, QC, CA
- Kaushik Roy 0004 — West Bengal State University, Barasat, India
- Kaushik Roy 0005 — RV College of Engineering, Bangalore, India
- Kaushik Roy 0006 — University of Windsor, Canada
- Kaushik Roy 0007 — Stanford University, Stanford, CA, USA
- Kaushik Roy 0008
— Sungkyunkwan University, MOPIC, R&B Center, Suwon-si, South Korea (and 1 more)
- Kaushik Roy 0009
— University of South Carolina, Department of computer science, AI Institute, Columbia, SC, USA
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2020 – today
- 2024
- [j33]Mansi Bhavsar
, Yohannes Belayneh Bekele
, Kaushik Roy
, John C. Kelly, Daniel B. Limbrick:
FL-IDS: Federated Learning-Based Intrusion Detection System Using Edge Devices for Transportation IoT. IEEE Access 12: 52215-52226 (2024) - [j32]Roger E. Davis
, Jingsheng Xu
, Kaushik Roy
:
Classifying Malware Traffic Using Images and Deep Convolutional Neural Network. IEEE Access 12: 58031-58038 (2024) - [j31]Amber Hoenig
, Kaushik Roy
, Yaa Takyiwaa Acquaah
, Sun Yi, Salil S. Desai
:
Explainable AI for Cyber-Physical Systems: Issues and Challenges. IEEE Access 12: 73113-73140 (2024) - [j30]John Jenkins, Kaushik Roy:
Exploring deep convolutional generative adversarial networks (DCGAN) in biometric systems: a survey study. Discov. Artif. Intell. 4(1): 42 (2024) - [c53]John Jenkins, Kaushik Roy:
Using DCGANs and HOG + Patch-Based CNN for Face Spoofing Mitigation. AIAI (4) 2024: 41-53 - [c52]Md Tasnim Alam, Yaa Takyiwaa Acquaah, Kaushik Roy:
Image-Based Human Action Recognition with Transfer Learning Using Grad-CAM for Visualization. AIAI (1) 2024: 117-130 - [c51]Yaa Takyiwaa Acquaah
, Kaushik Roy:
Exploration of Ensemble Methods for Cyber Attack Detection in Cyber-Physical Systems. AIAI (1) 2024: 330-347 - 2023
- [j29]Olusola Tolulope Odeyomi
, Bassey Ude
, Kaushik Roy
:
Online Decentralized Multi-Agents Meta-Learning With Byzantine Resiliency. IEEE Access 11: 68286-68300 (2023) - [j28]Zhipeng Liu
, Junyi Hu
, Yang Liu
, Kaushik Roy
, Xiaohong Yuan, Jinsheng Xu:
Anomaly-Based Intrusion on IoT Networks Using AIGAN-a Generative Adversarial Network. IEEE Access 11: 91116-91132 (2023) - [j27]Fikirte Ayalke Demmese
, Ajaya Neupane, Sajad Khorsandroo, May Wang, Kaushik Roy, Yu Fu:
Machine learning based fileless malware traffic classification using image visualization. Cybersecur. 6(1): 32 (2023) - [j26]Niraj Thapa, Meenal Chaudhari, Kaushik Roy:
Presentation attack detection: an analysis of spoofing in the wild (SiW) dataset using deep learning models. Discov. Artif. Intell. 3(1) (2023) - [j25]Mansi Bhavsar, Kaushik Roy, John C. Kelly, Olusola Tolulope Odeyomi:
Anomaly-based intrusion detection system for IoT application. Discov. Internet Things 3(1): 5 (2023) - [j24]Rawshan Ara Mowri, Madhuri Siddula, Kaushik Roy:
Is iterative feature selection technique efficient enough? A comparative performance analysis of RFECV feature selection technique in ransomware classification using SHAP. Discov. Internet Things 3(1): 21 (2023) - [j23]Karen Schnell, Kaushik Roy, Madhuri Siddula
:
A Descriptive Study of Webpage Designs for Posting Privacy Policies for Different-Sized US Hospitals to Create an Assessment Framework. Future Internet 15(3): 112 (2023) - [j22]Ning Guo, Letu Qingge
, Yuanchen Huang, Kaushik Roy, Yanggui Li, Pei Yang
:
Blind Image Quality Assessment via Multiperspective Consistency. Int. J. Intell. Syst. 2023: 1-14 (2023) - [c50]Daryle Smith, Sajad Khorsandroo, Kaushik Roy:
Supervised and Unsupervised Learning Techniques Utilizing Malware Datasets. ICAIC 2023: 1-7 - [c49]Bassey Ude, Olusola Tolulope Odeyomi, Kaushik Roy, Xiaohong Yuan:
A Survey on Bias Mitigation in Federated Learning. SSCI 2023: 1170-1175 - [i8]Xuan-Bac Nguyen, Chi Nhan Duong, Marios Savvides, Kaushik Roy, Khoa Luu:
Fairness in Visual Clustering: A Novel Transformer Clustering Approach. CoRR abs/2304.07408 (2023) - [i7]Melodee Montgomery, Prosenjit Chatterjee, John Jenkins, Kaushik Roy:
Touch Analysis: An Empirical Evaluation of Machine Learning Classification Algorithms on Touch Data. CoRR abs/2311.14195 (2023) - [i6]Prosenjit Chatterjee, Alex Yalchin, Joseph Shelton, Kaushik Roy, Xiaohong Yuan, Kossi D. Edoh:
Presentation Attack detection using Wavelet Transform and Deep Residual Neural Net. CoRR abs/2312.00040 (2023) - [i5]Justin Spencer, Deborah Lawrence, Prosenjit Chatterjee, Kaushik Roy, Albert C. Esterline, Jung-Hee Kim:
Presentation Attack Detection using Convolutional Neural Networks and Local Binary Patterns. CoRR abs/2312.00041 (2023) - [i4]Sultan Almalki, Prosenjit Chatterjee, Kaushik Roy:
Continuous Authentication Using Mouse Clickstream Data Analysis. CoRR abs/2312.00802 (2023) - 2022
- [j21]Daryle Smith
, Sajad Khorsandroo
, Kaushik Roy
:
Machine Learning Algorithms and Frameworks in Ransomware Detection. IEEE Access 10: 117597-117610 (2022) - [j20]Niraj Thapa, Meenal Chaudhari, Sean McManus, Kaushik Roy, Robert H. Newman, Hiroto Saigo, K. C. Dukka B.:
Correction: DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction. BMC Bioinform. 23(1): 349 (2022) - [j19]Tony Gwyn
, Kaushik Roy:
Examining Gender Bias of Convolutional Neural Networks via Facial Recognition. Future Internet 14(12): 375 (2022) - [j18]Ali Alwehaibi
, Marwan Bikdash, Mohammad Albogmi, Kaushik Roy:
A study of the performance of embedding methods for Arabic short-text sentiment analysis using deep learning approaches. J. King Saud Univ. Comput. Inf. Sci. 34(8 Part B): 6140-6149 (2022) - [j17]Ahmed Al Hamoud, Amber Hoenig, Kaushik Roy:
Sentence subjectivity analysis of a political and ideological debate dataset using LSTM and BiLSTM with attention and GRU models. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part A): 7974-7987 (2022) - [j16]Kha Gia Quach
, Ngan Le
, Chi Nhan Duong, Ibsa Jalata, Kaushik Roy, Khoa Luu:
Non-volume preserving-based fusion to group-level emotion recognition on crowd videos. Pattern Recognit. 128: 108646 (2022) - [c48]Richard Farrell
, Xiaohong Yuan, Kaushik Roy:
IoT to Structured Data (IoT2SD): A Big Data Information Extraction Framework. ICAIC 2022: 1-6 - [c47]Shaun Anthony Little, Kaushik Roy, Ahmed Al Hamoud:
Performance Benchmark of Machine Learning-Based Methodology for Swahili News Article Categorization. ICMLA 2022: 1517-1521 - [c46]David Johnson
, Tony Gwyn
, Letu Qingge, Kaushik Roy:
Deepfake Detection Using CNN Trained on Eye Region. IEA/AIE 2022: 443-451 - [c45]Jeffrey J. Hernandez V., Rodney Dejournett, Udayasri Nannuri, Tony Gwyn, Xiaohong Yuan, Kaushik Roy:
Face Authentication from Masked Face Images Using Deep Learning on Periocular Biometrics. IEA/AIE 2022: 452-459 - [c44]Mansi Bhavsar, Kaushik Roy, Zhipeng Liu, John C. Kelly, Balakrishna Gokaraju:
Intrusion-Based Attack Detection Using Machine Learning Techniques for Connected Autonomous Vehicle. IEA/AIE 2022: 505-515 - [c43]Yaa Takyiwaa Acquaah, Balakrishna Gokaraju, Raymond C. Tesiero, Kaushik Roy:
Machine Learning Techniques to Predict Real Time Thermal Comfort, Preference, Acceptability, and Sensation for Automation of HVAC Temperature. IEA/AIE 2022: 659-665 - [i3]Rawshan Ara Mowri, Madhuri Siddula, Kaushik Roy:
Interpretable Machine Learning for Detection and Classification of Ransomware Families Based on API Calls. CoRR abs/2210.11235 (2022) - [i2]Rawshan Ara Mowri, Madhuri Siddula, Kaushik Roy:
A Comparative Performance Analysis of Explainable Machine Learning Models With And Without RFECV Feature Selection Technique Towards Ransomware Classification. CoRR abs/2212.04864 (2022) - 2021
- [j15]Tony Gwyn
, Kaushik Roy, Mustafa Atay
:
Face Recognition Using Popular Deep Net Architectures: A Brief Comparative Study. Future Internet 13(7): 164 (2021) - [j14]Norah Alshareef, Xiaohong Yuan, Kaushik Roy, Mustafa Atay
:
A Study of Gender Bias in Face Presentation Attack and Its Mitigation. Future Internet 13(9): 234 (2021) - [j13]Zhipeng Liu, Niraj Thapa, Addison Shaver, Kaushik Roy, Madhuri Siddula, Xiaohong Yuan, Anna Yu:
Using Embedded Feature Selection and CNN for Classification on CCD-INID-V1 - A New IoT Dataset. Sensors 21(14): 4834 (2021) - [c42]Sandeep Shah, Pramita Sree Muhuri, Xiaohong Yuan, Kaushik Roy, Prosenjit Chatterjee:
Implementing a network intrusion detection system using semi-supervised support vector machine and random forest. ACM Southeast Conference 2021: 180-184 - [c41]Mesafint Fanuel, Xiaohong Yuan, Hyung Nam Kim, Letu Qingge, Kaushik Roy:
A Survey on Skeleton-Based Activity Recognition using Graph Convolutional Networks (GCN). ISPA 2021: 177-182 - [c40]Leyu Gao, Sandeep Shah, Nasser Assery, Xiaohong Yuan, Xiuli Qu, Kaushik Roy:
Semi-Supervised Self Training to Assess the Credibility of Tweets. ISPA/BDCloud/SocialCom/SustainCom 2021: 1532-1537 - [c39]Nawaf Aljohani, Joseph Shelton, Kaushik Roy:
Authentication Based on Touch Patterns Using an Artificial Immune System. SSCI 2021: 1-8 - [c38]Mustafa Atay
, Hailey Gipson, Tony Gwyn
, Kaushik Roy:
Evaluation of Gender Bias in Facial Recognition with Traditional Machine Learning Algorithms. SSCI 2021: 1-7 - [c37]Karen Schnell, Kaushik Roy:
Website Privacy Notification for the Visually Impaired. SSCI 2021: 1-6 - 2020
- [j12]John Jenkins, Kaushik Roy, Joseph Shelton:
Using deep learning techniques and genetic-based feature extraction for presentation attack mitigation. Array 7: 100029 (2020) - [j11]Janelle C. Mason, Rushit Dave, Prosenjit Chatterjee, Ieschecia Graham-Allen, Albert C. Esterline, Kaushik Roy:
An Investigation of Biometric Authentication in the Healthcare Environment. Array 8: 100042 (2020) - [j10]Niraj Thapa, Meenal Chaudhari, Sean McManus, Kaushik Roy, Robert H. Newman, Hiroto Saigo
, Dukka B. KC:
DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction. BMC Bioinform. 21-S(3): 63 (2020) - [j9]Niraj Thapa
, Zhipeng Liu, Dukka B. KC, Balakrishna Gokaraju, Kaushik Roy:
Comparison of Machine Learning and Deep Learning Models for Network Intrusion Detection Systems. Future Internet 12(10): 167 (2020) - [j8]Pramita Sree Muhuri
, Prosenjit Chatterjee
, Xiaohong Yuan, Kaushik Roy, Albert C. Esterline:
Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks. Inf. 11(5): 243 (2020) - [c36]Sonya J. Burroughs, Balakrishna Gokaraju, Kaushik Roy, Khoa Luu:
DeepFakes Detection in Videos using Feature Engineering Techniques in Deep Learning Convolution Neural Network Frameworks. AIPR 2020: 1-4 - [c35]Addison Shaver, Zhipeng Liu, Niraj Thapa, Kaushik Roy, Balakrishna Gokaraju, Xiaohong Yuan:
Anomaly Based Intrusion Detection for IoT with Machine Learning. AIPR 2020: 1-6 - [c34]Chi Nhan Duong, Thanh-Dat Truong, Khoa Luu
, Kha Gia Quach, Hung Bui, Kaushik Roy:
Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition. CVPR 2020: 6131-6140 - [c33]Tony Gwyn
, Mustafa Atay
, Kaushik Roy, Albert C. Esterline:
Evaluation of Local Binary Pattern Algorithm for User Authentication with Face Biometric. ICMLA 2020: 1051-1058 - [c32]W. Shannon Brown, Kaushik Roy, Xiaohong Yuan:
US Traffic Sign Recognition Using CNNs. IntelliSys (3) 2020: 657-661 - [c31]Steve Chesney, Kaushik Roy, Sajad Khorsandroo:
Machine Learning Algorithms for Preventing IoT Cybersecurity Attacks. IntelliSys (3) 2020: 679-686 - [c30]Nasser Assery, Xiaohong Yuan, Xiuli Qu, Sultan Almalki, Kaushik Roy:
Identifying Panic Triggers from Disaster-Related Tweets. ISPA/BDCloud/SocialCom/SustainCom 2020: 827-836 - [c29]Daniel Xie, Prosenjit Chatterjee, Zhipeng Liu, Kaushik Roy, Kossi D. Edoh:
DeepFake Detection on Publicly Available Datasets using Modified AlexNet. SSCI 2020: 1866-1871 - [i1]Chi Nhan Duong, Thanh-Dat Truong, Kha Gia Quach
, Hung Bui, Kaushik Roy, Khoa Luu
:
Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition. CoRR abs/2003.06958 (2020)
2010 – 2019
- 2019
- [j7]Dylan J. Gunn, Zhipeng Liu, Rushit Dave, Xiaohong Yuan, Kaushik Roy:
Touch-Based Active Cloud Authentication Using Traditional Machine Learning and LSTM on a Distributed Tensorflow Framework. Int. J. Comput. Intell. Appl. 18(4): 1950022:1-1950022:16 (2019) - [j6]Christopher Kelley, Janelle C. Mason, Albert C. Esterline, Kaushik Roy:
An Empirical Evaluation of User Movement Data on Smartphones. Int. J. Comput. Intell. Appl. 18(4): 1950025:1-1950025:18 (2019) - [c28]Emmanuel Borkor Nuakoh, Kaushik Roy, Xiaohong Yuan, Albert C. Esterline:
Deep Learning Approach for U.S. Traffic Sign Recognition. ICDLT 2019: 47-50 - [c27]Nasser Assery, Xiaohong Yuan, Sultan Almalki, Kaushik Roy, Xiuli Qu:
Comparing Learning-Based Methods for Identifying Disaster-Related Tweets. ICMLA 2019: 1829-1836 - [c26]Janelle C. Mason, Prosenjit Chatterjee, Kaushik Roy, Albert C. Esterline:
A Framework to Identify People in Unstructured Environments Incorporating Biometrics. SpaCCS Workshops 2019: 65-75 - [c25]Sultan Almalki, Prosenjit Chatterjee, Kaushik Roy:
Continuous Authentication Using Mouse Clickstream Data Analysis. SpaCCS Workshops 2019: 76-85 - [c24]Prosenjit Chatterjee, Alex Yalchin, Joseph Shelton, Kaushik Roy, Xiaohong Yuan, Kossi D. Edoh:
Presentation Attack Detection Using Wavelet Transform and Deep Residual Neural Net. SpaCCS Workshops 2019: 86-94 - [c23]Melodee Montgomery, Prosenjit Chatterjee, John Jenkins, Kaushik Roy:
Touch Analysis: An Empirical Evaluation of Machine Learning Classification Algorithms on Touch Data. SpaCCS 2019: 147-156 - 2018
- [c22]Daniel Hooks, Xiaohong Yuan, Kaushik Roy, Albert C. Esterline, Joaquin Hernandez:
Applying Artificial Immune System for Intrusion Detection. BigDataService 2018: 287-292 - [c21]Pablo Arias, Christopher Kelley, Janelle C. Mason, Kelvin Bryant, Kaushik Roy:
Classification of User Movement Data. ICDSP 2018: 156-160 - [c20]Ali Alwehaibi, Kaushik Roy:
Comparison of Pre-Trained Word Vectors for Arabic Text Classification Using Deep Learning Approach. ICMLA 2018: 1471-1474 - [c19]Janelle C. Mason, Christopher Kelley, Bisoye Olaleye, Albert C. Esterline, Kaushik Roy:
An Evaluation of User Movement Data. IEA/AIE 2018: 729-735 - [c18]Ahmed Al Hamoud, Ali Alwehaibi, Kaushik Roy, Marwan Bikdash:
Classifying Political Tweets Using Naïve Bayes and Support Vector Machines. IEA/AIE 2018: 736-744 - [c17]Prosenjit Chatterjee, Kaushik Roy:
Anti-spoofing Approach Using Deep Convolutional Neural Network. IEA/AIE 2018: 745-750 - [c16]Abel Hailemichael, Solomon Gebreyohannes, Ali Karimoddini
, Kaushik Roy, Abdollah Homaifar:
Development of a Generic and Configurable Fuzzy Logic Systems Library for Real-Time Control Applications Using an Object-Oriented Approach. IRC 2018: 159-164 - [c15]Anthony Dobson, Kaushik Roy, Xiaohong Yuan, Jinsheng Xu:
Performance Evaluation of Machine Learning Algorithms in Apache Spark for Intrusion Detection. ITNAC 2018: 1-6 - [c14]Dylan J. Gunn, Kaushik Roy, Kelvin Bryant:
Simulated Cloud Authentication Based on Touch Dynamics with SVM. SSCI 2018: 639-644 - 2017
- [j5]Nawaf Aljohani, Joseph Shelton, Kaushik Roy:
A secure one time password protocol schema. Int. J. Inf. Priv. Secur. Integr. 3(2): 75-95 (2017) - [j4]Joseph Shelton, John Jenkins, Kaushik Roy:
Extending disposable feature templates for mitigating replay attacks. Int. J. Inf. Priv. Secur. Integr. 3(2): 96-116 (2017) - [c13]Marguerite McDaniel, Emma Sloan, Siobahn C. Day
, James Mayes, Albert C. Esterline, Kaushik Roy, William Nick:
Situation-based ontologies for a computational framework for identity focusing on crime scenes. CogSIMA 2017: 1-7 - [c12]Nawaf Aljohani, Joseph Shelton, Kaushik Roy:
Continuous Authentication on Smartphones Using An Artificial Immune System. MAICS 2017: 171-174 - 2016
- [j3]Kaushik Roy, Joseph Shelton, Albert C. Esterline:
A brief survey on multispectral iris recognition. Int. J. Appl. Pattern Recognit. 3(4): 308-323 (2016) - [c11]Joseph Shelton, John Jenkins, Kaushik Roy:
Palm Print Identification and Verification Using a Genetic-Based Feature Extraction Technique. ICIAR 2016: 63-68 - 2015
- [j2]Kaushik Roy, Joseph Shelton, Brian O'Connor, Mohamed S. Kamel:
Multibiometric system using fuzzy level set, and genetic and evolutionary feature extraction. IET Biom. 4(3): 151-161 (2015) - [c10]Pablo A. Arias, Joseph Shelton, Kaushik Roy, Foysal Ahmad, Gerry V. Dozier:
Micro Genetic and Evolutionary Feature Extraction: An Exploratory Data Analysis Approach for Multispectral Iris Recognition. ICIAR 2015: 178-185 - [c9]Nawaf Aljohani, Foysal Ahmad, Kaushik Roy, Joseph Shelton:
Mutibiometric System Based on Game Theory. ICIAR 2015: 194-199 - [c8]Pablo A. Arias, Joseph Shelton, Kaushik Roy, Gerry V. Dozier, Foysal Ahmad:
Multispectral Recognition Using Genetic and Evolutionary Feature Extraction. MAICS 2015: 19-24 - 2014
- [j1]Kaushik Roy, Brian O'Connor, Foysal Ahmad, Mohamed S. Kamel:
Multibiometric System Using Level Set, Modified LBP and Random Forest. Int. J. Image Graph. 14(3) (2014) - [c7]Foysal Ahmad, Kaushik Roy, Khary Popplewell:
Multispectral Iris Recognition Using Patch Based Game Theory. ICIAR (2) 2014: 112-119 - [c6]Joseph Shelton, Kaushik Roy, Foysal Ahmad, Brian O'Connor:
Iris recognition using Level Set and hGEFE. SMC 2014: 1392-1395 - [c5]Khary Popplewell, Kaushik Roy, Foysal Ahmad, Joseph Shelton:
Multispectral iris recognition utilizing hough transform and modified LBP. SMC 2014: 1396-1399 - 2012
- [c4]Kaushik Roy, Mohamed S. Kamel
:
Facial Expression Recognition Using Game Theory. ANNPR 2012: 139-150 - [c3]Kaushik Roy, Mohamed S. Kamel:
Facial Expression Recognition Using Game Theory and Particle Swarm Optimization. ICCVG 2012: 581-589 - [c2]Kaushik Roy, Mohamed S. Kamel:
Multibiometric System Using Distance Regularized Level Set Method and Particle Swarm Optimization. ICCVG 2012: 590-599 - [c1]Kaushik Roy, Mohamed S. Kamel
:
Multibiometric System Using Level Set Method and Particle Swarm Optimization. ICIAR (2) 2012: 20-29
Coauthor Index
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