Jayesh Soni

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Nagarajan PrabakarSchool of Computing and Information Sciences, Florida International UniversityVerified email at cis.fiu.edu
Dr. Himanshu UpadhyayAssociate Professor- Electrical & Computer EngineeringVerified email at fiu.edu
THEJAS GSTarleton State University, The Texas A&M University SystemVerified email at tarleton.edu
Sundararaja Sitharama IyengarProfessor of Computer Science, Florida International UniversityVerified email at cis.fiu.edu
Sunitha NRSiddaganga Institute of Technology, Tumkur,IndiaVerified email at sit.ac.in
Pranav GangwaniPhD Candidate, Florida International UniversityVerified email at fiu.edu
Santosh JoshiCSIR-National Botanical Research Institute and Korean Lichen Research InstituteVerified email at tropicalplantresearch.com
Surya Srikar SirigineediFlorida International UniversityVerified email at fiu.edu
Suresh Kumar PeddojuAssistant Professor at University of HoustonVerified email at central.uh.edu
Kshitij ChandnaNew York UniversityVerified email at nyu.edu
Kanishk SrivastavaStudent, Florida International UniversityVerified email at fiu.edu
Kianoosh G. BoroojeniFaculty at Florida International UniversityVerified email at fiu.edu
Prajwal BadrinathVerified email at fiu.edu
Punit RathoreAssistant Professor, Indian Institute of Science, Bangalore, IndiaVerified email at iisc.ac.in
M. PalaniswamiProfessor of Electrical EngineeringVerified email at unimelb.edu.au
Paolo SantiIIT - CNR, Pisa - Italy and MIT Senseable City LabVerified email at iit.cnr.it
Jong-Hoon KimProfessor of Computer Science, Kent State UniversityVerified email at kent.edu
Krishna Sai VutukuruThornton TomasettiVerified email at thorntontomasetti.com
Shrirang Ambaji KulkarniManipal Institute of Technology BengaluruVerified email at manipal.edu
Leonel LagosAssociate Professor and Director of Research at Florida International UniversityVerified email at fiu.edu

Jayesh Soni

Florida International University

Verified email at fiu.edu

Artificial Intelligence Deep Learning Machine Learning Anomaly Detection


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A deep learning approach for modeling of geothermal energy prediction P Gangwani, J Soni, H Upadhyay, S Joshi International Journal of Computer Science and Information Security (IJCSIS …, 2020	43	2020
Identifying groups of fake reviewers using a semisupervised approach P Rathore, J Soni, N Prabakar, M Palaniswami, P Santi IEEE Transactions on Computational Social Systems 8 (6), 1369-1378, 2021	30	2021
Behavioral analysis of system call sequences using LSTM seq-seq, cosine similarity and jaccard similarity for real-time anomaly detection J Soni, N Prabakar, H Upadhyay 2019 International Conference on Computational Science and Computational …, 2019	28	2019
Visualizing high-dimensional data using t-distributed stochastic neighbor embedding algorithm J Soni, N Prabakar, H Upadhyay Principles of data science, 189-206, 2020	26	2020
Effective machine learning approach to detect groups of fake reviewers J Soni, N Prabakar Proceedings of the 14th international conference on data science (ICDATA’18 …, 2018	21	2018
Learning-based model to fight against fake like clicks on instagram posts NP GS Thejas, J Soni, K Chandna, SS Iyengar, NR Sunitha IEEE SoutheastCon, 1-8, 2019	20*	2019
Learning-based models to detect runtime phishing activities using URLs SS Sirigineedi, J Soni, H Upadhyay Proceedings of the 2020 4th international conference on compute and data …, 2020	18	2020
A multi-time-scale time series analysis for click fraud forecasting using binary labeled imbalanced dataset GS Thejas, J Soni, KG Boroojeni, SS Iyengar, K Srivastava, P Badrinath, ... 2019 4th International Conference on Computational Systems and Information …, 2019	18	2019
Prediction of component failures of telepresence robot with temporal data J Soni, N Prabakar, JH Kim 30th Florida conference on recent advances in robotics, 2017	18	2017
Feature extraction through deepwalk on weighted graph J Soni, N Prabakar, H Upadhyay Proceedings of the 15th international conference on data science (ICDATA’19 …, 2019	17	2019
Natural language processing based anomalous system call sequences detection with virtual memory introspection SK Peddoju, H Upadhyay, J Soni, N Prabakar International Journal of Advanced Computer Science and Applications 11 (5), 2020	16	2020
Comparative Analysis of LSTM, One-Class SVM, and PCA to Monitor Real-Time Malware Threats Using System Call Sequences and Virtual Machine Introspection J Soni, SK Peddoju, N Prabakar, H Upadhyay International Conference on Communication, Computing and Electronics Systems …, 2020	15	2020
Deep learning approach to detect malicious attacks at system level: poster J Soni, N Prabakar, H Upadhyay Proceedings of the 12th Conference on Security and Privacy in Wireless and …, 2019	13	2019
Comparative Analysis of LSTM Sequence-Sequence and Auto Encoder for real-time anomaly detection using system call sequences Jayesh Soni, Nagarajan Prabakar, Himanshu Upadhyay International Journal of Innovative Research in Computer and Communication …, 2020	5*	2020
KeyNet: enhancing cybersecurity with deep learning-based LSTM on keystroke dynamics for authentication J Soni, N Prabakar International Conference on Intelligent Human Computer Interaction, 761-771, 2021	4	2021
EA-NET: A Hybrid and Ensemble Multi-Level Approach For Robust Anomaly Detection J Soni, N Prabakar, H Upadhyay Proceedings of 31st International Conference 88, 18-27, 2022	3	2022
Towards Detecting Fake Spammers Groups in Social Media: An Unsupervised Deep Learning Approach J Soni, N Prabakar, H Upadhyay Deep Learning for Social Media Data Analytics, 237-253, 2022	2	2022
Learning-based model to fight against fake like clicks on instagram posts T GS, J Soni, K Chandna, SS Iyengar, NR Sunitha, N Prabakar	2	2019
Learning-Based Model for Phishing Attack Detection J Soni, S Sirigineedi, KS Vutukuru, SSCE Sirigineedi, N Prabakar, ... Artificial Intelligence in Cyber Security: Theories and Applications, 113-124, 2023	1	2023
An Efficient LSTM Model for Fake News Detection J Soni Available at SSRN 4188358, 2022	1	2022

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