Fabio Di Troia

70 papers C 12Journal 39Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A comparative study of linear and non-linear dimensionality reduction for opcode-frequency malware classification. J. Comput. Virol. Hacking Tech. Chandler Lu, Fabio Di Troia
2025	J	`jnl`	AGRO: An Autonomous AI Rover for Precision Agriculture. CoRR Simar Ghumman, Fabio Di Troia, William B. Andreopoulos, Mark Stamp, Sanjit Rai
2025	J	`jnl`	Generating Synthetic Malware Samples Using Generative AI. IEEE Access Tiffany Bao, Kylie Trousil, Quang Duy Tran, Fabio Di Troia, Younghee Park
2024	J	`jnl`	A comparison of adversarial malware generators. J. Comput. Virol. Hacking Tech. Pavla Louthánová, Matous Kozák, Martin Jurecek, Mark Stamp, Fabio Di Troia
2024	C	`conf`	An Advanced Malware Detection System Based on NLP to Generate Genetic Markers. ICCE Quang Duy Tran, Jaehyun Lim, Fabio Di Troia
2024	J	`jnl`	Classification and online clustering of zero-day malware. J. Comput. Virol. Hacking Tech. Olha Jurecková, Martin Jurecek, Mark Stamp, Fabio Di Troia, Róbert Lórencz
2024	J	`jnl`	Creating valid adversarial examples of malware. J. Comput. Virol. Hacking Tech. Matous Kozák, Martin Jurecek, Mark Stamp, Fabio Di Troia
2023	J	`jnl`	Advancement on Security Applications of Private Intersection Sum Protocol. CoRR Yuvaray Athur Raghuvir, Senthil Govindarajan, Sanjeevi Vijayakumar, Pradeep Yadlapalli, Fabio Di Troia
2023	J	`jnl`	Creating Valid Adversarial Examples of Malware. CoRR Matous Kozák, Martin Jurecek, Mark Stamp, Fabio Di Troia
2023	—	`conf`	Enhancing Malware Detection Using "Genetic Markers" and Machine Learning. DASC/PiCom/CBDCom/CyberSciTech Jaehyun Lim, Quang Duy Tran, Fabio Di Troia
2023	J	`jnl`	Feature Analysis of Encrypted Malicious Traffic. CoRR Anish Singh Shekhawat, Fabio Di Troia, Mark Stamp
2023	J	`jnl`	Generative adversarial networks and image-based malware classification. J. Comput. Virol. Hacking Tech. Huy Nguyen, Fabio Di Troia, Genya Ishigaki, Mark Stamp
2023	J	`jnl`	Hidden Markov Models with Random Restarts vs Boosting for Malware Detection. CoRR Aditya Raghavan, Fabio Di Troia, Mark Stamp
2023	—	`conf`	Malware Detection through Contextualized Vector Embeddings. SVCC Vinay Pandya, Fabio Di Troia
2023	J	`jnl`	Malware classification with Word2Vec, HMM2Vec, BERT, and ELMo. J. Comput. Virol. Hacking Tech. Aparna Sunil Kale, Vinay Pandya, Fabio Di Troia, Mark Stamp
2022	—	`conf`	A Blockchain-Based Tamper-Resistant Logging Framework. SVCC Thomas H. Austin, Fabio Di Troia
2022	J	`jnl`	A Comparison of Static, Dynamic, and Hybrid Analysis for Malware Detection. CoRR Anusha Damodaran, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp
2022	J	`jnl`	Convolutional Neural Networks for Image Spam Detection. CoRR Tazmina Sharmin, Fabio Di Troia, Katerina Potika, Mark Stamp
2022	J	`jnl`	Generative Adversarial Networks and Image-Based Malware Classification. CoRR Huy Nguyen, Fabio Di Troia, Genya Ishigaki, Mark Stamp
2022	J	`jnl`	Hidden Markov Models with Momentum. CoRR Andrew Miller, Fabio Di Troia, Mark Stamp
2022	J	`jnl`	Multifamily Malware Models. CoRR Samanvitha Basole, Fabio Di Troia, Mark Stamp
2022	C	`conf`	NLP-based User Authentication through Mouse Dynamics. ICISSP Hoseong Asher Lee, Nikhil Prathapani, Rajesh Paturi, Sarp Parmaksiz, Fabio Di Troia
2022	C	`conf`	Profile Hidden Markov Model Malware Detection and API Call Obfuscation. ICISSP Muhammad Ali, Monem Hamid, Jacob Jasser, Joachim Lerman, Samod Shetty, Fabio Di Troia
2022	—	`conf`	Robustness of Image-Based Malware Analysis. SVCC Katrina Tran, Fabio Di Troia, Mark Stamp
2022	—	`ed.`	Silicon Valley Cybersecurity Conference - Second Conference, SVCC 2021, San Jose, CA, USA, December 2-3, 2021, Revised Selected Papers SVCC Sang-Yoon Chang, Luis Angel D. Bathen, Fabio Di Troia, Thomas H. Austin, Alex J. Nelson
2022	—	`conf`	Twitter Bots' Detection with Benford's Law and Machine Learning. SVCC Sanmesh Bhosale, Fabio Di Troia
2022	—	`conf`	Word Embeddings for Fake Malware Generation. SVCC Quang Duy Tran, Fabio Di Troia
2021	C	`conf`	A New Dataset for Smartphone Gesture-based Authentication. ICISSP Elliu Huang, Fabio Di Troia, Mark Stamp, Preethi Sundaravaradhan
2021	J	`jnl`	Clickbait Detection in YouTube Videos. CoRR Ruchira Gothankar, Fabio Di Troia, Mark Stamp
2021	J	`jnl`	Evaluating Deep Learning Models and Adversarial Attacks on Accelerometer-Based Gesture Authentication. CoRR Elliu Huang, Fabio Di Troia, Mark Stamp
2021	—	`conf`	Fake Malware Generation Using HMM and GAN. SVCC Harshit Trehan, Fabio Di Troia
2021	J	`jnl`	Malware Classification Using Long Short-Term Memory Models. CoRR Dennis Dang, Fabio Di Troia, Mark Stamp
2021	C	`conf`	Malware Classification using Long Short-term Memory Models. ICISSP Dennis Dang, Fabio Di Troia, Mark Stamp
2021	C	`conf`	Malware Classification with Word Embedding Features. ICISSP Aparna Sunil Kale, Fabio Di Troia, Mark Stamp
2021	J	`jnl`	Malware Classification with Word Embedding Features. CoRR Aparna Sunil Kale, Fabio Di Troia, Mark Stamp
2021	J	`jnl`	Sentiment Analysis for Troll Detection on Weibo. CoRR Zidong Jiang, Fabio Di Troia, Mark Stamp
2020	J	`jnl`	Black box analysis of android malware detectors. Array Guruswamy Nellaivadivelu, Fabio Di Troia, Mark Stamp
2020	J	`jnl`	Convolutional neural networks for image spam detection. Inf. Secur. J. A Glob. Perspect. Tazmina Sharmin, Fabio Di Troia, Katerina Potika, Mark Stamp
2020	J	`jnl`	Detecting malware evolution using support vector machines. Expert Syst. Appl. Mayuri Wadkar, Fabio Di Troia, Mark Stamp
2020	—	`—`	Machine learning classification for advanced malware detection. Fabio Di Troia
2020	J	`jnl`	Multifamily malware models. J. Comput. Virol. Hacking Tech. Samanvitha Basole, Fabio Di Troia, Mark Stamp
2019	C	`conf`	A Comparative Analysis of Android Malware. ICISSP Neeraj Chavan, Fabio Di Troia, Mark Stamp
2019	J	`jnl`	A Comparative Analysis of Android Malware. CoRR Neeraj Chavan, Fabio Di Troia, Mark Stamp
2019	J	`jnl`	An analysis of Android adware. J. Comput. Virol. Hacking Tech. Supraja Suresh, Fabio Di Troia, Katerina Potika, Mark Stamp
2019	J	`jnl`	Feature analysis of encrypted malicious traffic. Expert Syst. Appl. Anish Singh Shekhawat, Fabio Di Troia, Mark Stamp
2019	J	`jnl`	Hidden Markov models with random restarts versus boosting for malware detection. J. Comput. Virol. Hacking Tech. Aditya Raghavan, Fabio Di Troia, Mark Stamp
2019	J	`jnl`	Malware Detection Using Dynamic Birthmarks. CoRR Swapna Vemparala, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp
2019	J	`jnl`	Transfer Learning for Image-Based Malware Classification. CoRR Niket Bhodia, Pratikkumar Prajapati, Fabio Di Troia, Mark Stamp
2019	C	`conf`	Transfer Learning for Image-based Malware Classification. ICISSP Niket Bhodia, Pratikkumar Prajapati, Fabio Di Troia, Mark Stamp
2018	C	`conf`	Acoustic Gait Analysis using Support Vector Machines. ICISSP Jasper Huang, Fabio Di Troia, Mark Stamp
2018	C	`conf`	Autocorrelation Analysis of Financial Botnet Traffic. ICISSP Prathiba Nagarajan, Fabio Di Troia, Thomas H. Austin, Mark Stamp
2018	C	`conf`	Deep Learning versus Gist Descriptors for Image-based Malware Classification. ICISSP Sravani Yajamanam, Vikash Raja Samuel Selvin, Fabio Di Troia, Mark Stamp
2018	—	`ch.`	Detecting Encrypted and Polymorphic Malware Using Hidden Markov Models. Guide to Vulnerability Analysis for Computer Networks and Systems Dhiviya Dhanasekar, Fabio Di Troia, Katerina Potika, Mark Stamp
2018	—	`ch.`	Function Call Graphs Versus Machine Learning for Malware Detection. Guide to Vulnerability Analysis for Computer Networks and Systems Deebiga Rajeswaran, Fabio Di Troia, Thomas H. Austin, Mark Stamp
2018	—	`conf`	Hidden Markov Models for Vigenère Cryptanalysis. HistoCrypt Mark Stamp, Fabio Di Troia, Miles Stamp, Jasper Huang
2018	—	`ch.`	Masquerade Detection on Mobile Devices. Guide to Vulnerability Analysis for Computer Networks and Systems Swathi Nambiar Kadala Manikoth, Fabio Di Troia, Mark Stamp
2018	—	`conf`	On the Effectiveness of Generic Malware Models. ICETE (1) Naman Bagga, Fabio Di Troia, Mark Stamp
2018	—	`conf`	Robust Hashing for Image-based Malware Classification. ICETE (1) Wei-Chung Huang, Fabio Di Troia, Mark Stamp
2018	—	`conf`	Support Vector Machines for Image Spam Analysis. ICETE (1) Aneri Chavda, Katerina Potika, Fabio Di Troia, Mark Stamp
2018	J	`jnl`	Vigenère scores for malware detection. J. Comput. Virol. Hacking Tech. Suchita Deshmukh, Fabio Di Troia, Mark Stamp
2017	J	`jnl`	A comparison of static, dynamic, and hybrid analysis for malware detection. J. Comput. Virol. Hacking Tech. Anusha Damodaran, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp
2017	J	`jnl`	Classic cryptanalysis using hidden Markov models. Cryptologia Rohit Vobbilisetty, Fabio Di Troia, Richard M. Low, Corrado Aaron Visaggio, Mark Stamp
2017	J	`jnl`	Clustering for malware classification. J. Comput. Virol. Hacking Tech. Swathi Pai, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp
2017	J	`jnl`	SocioBot: a Twitter-based botnet. Int. J. Secur. Networks Ismeet Kaur Makkar, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp
2017	C	`conf`	Static and Dynamic Analysis of Android Malware. ICISSP Ankita Kapratwar, Fabio Di Troia, Mark Stamp
2016	—	`conf`	Advanced transcriptase for JavaScript malware. MALWARE Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp
2016	J	`jnl`	Clustering versus SVM for malware detection. J. Comput. Virol. Hacking Tech. Usha Narra, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp
2016	—	`conf`	Malware Detection Using Dynamic Birthmarks. IWSPA@CODASPY Swapna Vemparala, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp
2016	—	`conf`	Static Analysis of Malicious Java Applets. IWSPA@CODASPY Nikitha Ganesh, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp
2016	J	`jnl`	Support vector machines and malware detection. J. Comput. Virol. Hacking Tech. Tanuvir Singh, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp