Mark Stamp

According to our database, Mark Stamp authored at least 119 papers between 1992 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Social media bot detection using Dropout-GAN.

Anant Shukla, Martin Jurecek, Mark Stamp

J. Comput. Virol. Hacking Tech., November, 2024

A comparison of adversarial malware generators.

Pavla Louthánová, Matous Kozák, Martin Jurecek, Mark Stamp, Fabio Di Troia

J. Comput. Virol. Hacking Tech., November, 2024

Creating valid adversarial examples of malware.

Matous Kozák, Martin Jurecek, Mark Stamp, Fabio Di Troia

J. Comput. Virol. Hacking Tech., November, 2024

Classification and online clustering of zero-day malware.

Olha Jurecková, Martin Jurecek, Mark Stamp, Fabio Di Troia, Róbert Lórencz

J. Comput. Virol. Hacking Tech., November, 2024

A natural language processing approach to Malware classification.

Ritik Mehta, Olha Jurecková, Mark Stamp

J. Comput. Virol. Hacking Tech., 2024

A comparison of graph neural networks for malware classification.

Vrinda Malhotra, Katerina Potika, Mark Stamp

J. Comput. Virol. Hacking Tech., 2024

Distinguishing Chatbot from Human.

Gauri Anil Godghase, Rishit Agrawal, Tanush Obili, Mark Stamp

CoRR, 2024

Online Clustering of Known and Emerging Malware Families.

Olha Jurecková, Martin Jurecek, Mark Stamp

CoRR, 2024

2023

Generative adversarial networks and image-based malware classification.

Huy Nguyen, Fabio Di Troia, Genya Ishigaki, Mark Stamp

J. Comput. Virol. Hacking Tech., November, 2023

An empirical analysis of the shift and scale parameters in BatchNorm.

Yashna Peerthum, Mark Stamp

Inf. Sci., August, 2023

Darknet traffic classification and adversarial attacks using machine learning.

Nhien Rust-Nguyen, Shruti Sharma, Mark Stamp

Comput. Secur., April, 2023

Malware classification with Word2Vec, HMM2Vec, BERT, and ELMo.

Aparna Sunil Kale, Vinay Pandya, Fabio Di Troia, Mark Stamp

J. Comput. Virol. Hacking Tech., March, 2023

On the Steganographic Capacity of Selected Learning Models.

Rishit Agrawal, Kelvin Jou, Tanush Obili, Daksh Parikh, Samarth Prajapati, Yash Seth, Charan Sridhar, Nathan Zhang, Mark Stamp

CoRR, 2023

A Comparison of Adversarial Learning Techniques for Malware Detection.

Pavla Louthánová, Matous Kozák, Martin Jurecek, Mark Stamp

CoRR, 2023

Hidden Markov Models with Random Restarts vs Boosting for Malware Detection.

Aditya Raghavan, Fabio Di Troia, Mark Stamp

CoRR, 2023

Keystroke Dynamics for User Identification.

Atharva Sharma, Martin Jurecek, Mark Stamp

CoRR, 2023

Classifying World War II Era Ciphers with Machine Learning.

Brooke Dalton, Mark Stamp

CoRR, 2023

Steganographic Capacity of Deep Learning Models.

Lei Zhang, Dong Li, Olha Jurecková, Mark Stamp

CoRR, 2023

2022

Predicting Pedestrian Crosswalk Behavior Using Convolutional Neural Networks.

Eric Liang, Mark Stamp

CoRR, 2022

Darknet Traffic Classification and Adversarial Attacks.

Nhien Rust-Nguyen, Mark Stamp

CoRR, 2022

Hidden Markov Models with Momentum.

Andrew Miller, Fabio Di Troia, Mark Stamp

CoRR, 2022

Robustness of Image-Based Malware Analysis.

Katrina Tran, Fabio Di Troia, Mark Stamp

Proceedings of the Silicon Valley Cybersecurity Conference - Third Conference, 2022

2021

Evaluating Deep Learning Models and Adversarial Attacks on Accelerometer-Based Gesture Authentication.

Elliu Huang, Fabio Di Troia, Mark Stamp

CoRR, 2021

Clickbait Detection in YouTube Videos.

Ruchira Gothankar, Fabio Di Troia, Mark Stamp

CoRR, 2021

Machine Learning-Based Analysis of Free-Text Keystroke Dynamics.

Han-Chih Chang, Jianwei Li, Mark Stamp

CoRR, 2021

Free-Text Keystroke Dynamics for User Authentication.

Jianwei Li, Han-Chih Chang, Mark Stamp

CoRR, 2021

Machine Learning for Malware Evolution Detection.

Lolitha Sresta Tupadha, Mark Stamp

CoRR, 2021

Auxiliary-Classifier GAN for Malware Analysis.

Rakesh Nagaraju, Mark Stamp

CoRR, 2021

Machine Learning and Deep Learning for Fixed-Text Keystroke Dynamics.

Han-Chih Chang, Jianwei Li, Ching-Seh Wu, Mark Stamp

CoRR, 2021

An Empirical Analysis of Image-Based Learning Techniques for Malware Classification.

Pratikkumar Prajapati, Mark Stamp

CoRR, 2021

CNN vs ELM for Image-Based Malware Classification.

Mugdha Jain, William Andreopoulos, Mark Stamp

CoRR, 2021

On Ensemble Learning.

Mark Stamp, Aniket Chandak, Gavin Wong, Allen Ye

CoRR, 2021

Sentiment Analysis for Troll Detection on Weibo.

Zidong Jiang, Fabio Di Troia, Mark Stamp

CoRR, 2021

A Comparison of Word2Vec, HMM2Vec, and PCA2Vec for Malware Classification.

Aniket Chandak, Wendy Lee, Mark Stamp

CoRR, 2021

Cluster Analysis of Malware Family Relationships.

Samanvitha Basole, Mark Stamp

CoRR, 2021

Word Embedding Techniques for Malware Evolution Detection.

Sunhera Paul, Mark Stamp

CoRR, 2021

Universal Adversarial Perturbations and Image Spam Classifiers.

Andy Phung, Mark Stamp

CoRR, 2021

Computer-aided diagnosis of low grade endometrial stromal sarcoma (LGESS).

Xinxin Yang, Mark Stamp

Comput. Biol. Medicine, 2021

Malware Classification with GMM-HMM Models.

Jing Zhao, Samanvitha Basole, Mark Stamp

Proceedings of the 7th International Conference on Information Systems Security and Privacy, 2021

Malware Classification with Word Embedding Features.

Aparna Sunil Kale, Fabio Di Troia, Mark Stamp

Proceedings of the 7th International Conference on Information Systems Security and Privacy, 2021

A New Dataset for Smartphone Gesture-based Authentication.

Elliu Huang, Fabio Di Troia, Mark Stamp, Preethi Sundaravaradhan

Proceedings of the 7th International Conference on Information Systems Security and Privacy, 2021

Malware Classification using Long Short-term Memory Models.

Dennis Dang, Fabio Di Troia, Mark Stamp

Proceedings of the 7th International Conference on Information Systems Security and Privacy, 2021

2020

Convolutional neural networks and extreme learning machines for malware classification.

Mugdha Jain, William Andreopoulos, Mark Stamp

J. Comput. Virol. Hacking Tech., 2020

Multifamily malware models.

Samanvitha Basole, Fabio Di Troia, Mark Stamp

J. Comput. Virol. Hacking Tech., 2020

Convolutional neural networks for image spam detection.

Tazmina Sharmin, Fabio Di Troia, Katerina Potika, Mark Stamp

Inf. Secur. J. A Glob. Perspect., 2020

Detecting malware evolution using support vector machines.

Mayuri Wadkar, Fabio Di Troia, Mark Stamp

Expert Syst. Appl., 2020

Black box analysis of android malware detectors.

Guruswamy Nellaivadivelu, Fabio Di Troia, Mark Stamp

Array, 2020

2019

An analysis of Android adware.

Supraja Suresh, Fabio Di Troia, Katerina Potika, Mark Stamp

J. Comput. Virol. Hacking Tech., 2019

Hidden Markov models with random restarts versus boosting for malware detection.

Aditya Raghavan, Fabio Di Troia, Mark Stamp

J. Comput. Virol. Hacking Tech., 2019

Feature analysis of encrypted malicious traffic.

Anish Singh Shekhawat, Fabio Di Troia, Mark Stamp

Expert Syst. Appl., 2019

A Comparative Analysis of Android Malware.

Neeraj Chavan, Fabio Di Troia, Mark Stamp

Proceedings of the 5th International Conference on Information Systems Security and Privacy, 2019

Transfer Learning for Image-based Malware Classification.

Niket Bhodia, Pratikkumar Prajapati, Fabio Di Troia, Mark Stamp

Proceedings of the 5th International Conference on Information Systems Security and Privacy, 2019

2018

A Survey of Machine Learning Algorithms and Their Application in Information Security.

Mark Stamp

Proceedings of the Guide to Vulnerability Analysis for Computer Networks and Systems, 2018

Function Call Graphs Versus Machine Learning for Malware Detection.

Deebiga Rajeswaran, Fabio Di Troia, Thomas H. Austin, Mark Stamp

Proceedings of the Guide to Vulnerability Analysis for Computer Networks and Systems, 2018

Masquerade Detection on Mobile Devices.

Swathi Nambiar Kadala Manikoth, Fabio Di Troia, Mark Stamp

Proceedings of the Guide to Vulnerability Analysis for Computer Networks and Systems, 2018

Detecting Encrypted and Polymorphic Malware Using Hidden Markov Models.

Dhiviya Dhanasekar, Fabio Di Troia, Katerina Potika, Mark Stamp

Proceedings of the Guide to Vulnerability Analysis for Computer Networks and Systems, 2018

Vigenère scores for malware detection.

Suchita Deshmukh, Fabio Di Troia, Mark Stamp

J. Comput. Virol. Hacking Tech., 2018

Image spam analysis and detection.

Annapurna Annadatha, Mark Stamp

J. Comput. Virol. Hacking Tech., 2018

Deep Learning versus Gist Descriptors for Image-based Malware Classification.

Sravani Yajamanam, Vikash Raja Samuel Selvin, Fabio Di Troia, Mark Stamp

Proceedings of the 4th International Conference on Information Systems Security and Privacy, 2018

Autocorrelation Analysis of Financial Botnet Traffic.

Prathiba Nagarajan, Fabio Di Troia, Thomas H. Austin, Mark Stamp

Proceedings of the 4th International Conference on Information Systems Security and Privacy, 2018

Acoustic Gait Analysis using Support Vector Machines.

Jasper Huang, Fabio Di Troia, Mark Stamp

Proceedings of the 4th International Conference on Information Systems Security and Privacy, 2018

Robust Hashing for Image-based Malware Classification.

Wei-Chung Huang, Fabio Di Troia, Mark Stamp

Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, 2018

Support Vector Machines for Image Spam Analysis.

Aneri Chavda, Katerina Potika, Fabio Di Troia, Mark Stamp

Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, 2018

On the Effectiveness of Generic Malware Models.

Naman Bagga, Fabio Di Troia, Mark Stamp

Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, 2018

Hidden Markov Models for Vigenère Cryptanalysis.

Mark Stamp, Fabio Di Troia, Miles Stamp, Jasper Huang

Proceedings of the 1st International Conference on Historical Cryptology, 2018

2017

A completely covert audio channel in Android.

Sukanya Thakur, Mark Stamp

J. Comput. Virol. Hacking Tech., 2017

Clustering for malware classification.

Swathi Pai, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp

J. Comput. Virol. Hacking Tech., 2017

A comparison of static, dynamic, and hybrid analysis for malware detection.

Anusha Damodaran, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp

J. Comput. Virol. Hacking Tech., 2017

SocioBot: a Twitter-based botnet.

Ismeet Kaur Makkar, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp

Int. J. Secur. Networks, 2017

Classic cryptanalysis using hidden Markov models.

Rohit Vobbilisetty, Fabio Di Troia, Richard M. Low, Corrado Aaron Visaggio, Mark Stamp

Cryptologia, 2017

Static and Dynamic Analysis of Android Malware.

Ankita Kapratwar, Fabio Di Troia, Mark Stamp

Proceedings of the 3rd International Conference on Information Systems Security and Privacy, 2017

2016

Support vector machines and malware detection.

Tanuvir Singh, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp

J. Comput. Virol. Hacking Tech., 2016

Clustering versus SVM for malware detection.

Usha Narra, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp

J. Comput. Virol. Hacking Tech., 2016

Advanced transcriptase for JavaScript malware.

Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp

Proceedings of the 11th International Conference on Malicious and Unwanted Software, 2016

Malware Detection Using Dynamic Birthmarks.

Swapna Vemparala, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp

Proceedings of the 2016 ACM on International Workshop on Security And Privacy Analytics, 2016

Static Analysis of Malicious Java Applets.

Nikitha Ganesh, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp

Proceedings of the 2016 ACM on International Workshop on Security And Privacy Analytics, 2016

2015

Hunting for metamorphic JavaScript malware.

Mangesh Musale, Thomas H. Austin, Mark Stamp

J. Comput. Virol. Hacking Tech., 2015

Dueling hidden Markov models for virus analysis.

Ashwin Kalbhor, Thomas H. Austin, Eric Filiol, Sébastien Josse, Mark Stamp

J. Comput. Virol. Hacking Tech., 2015

Singular value decomposition and metamorphic detection.

Ranjith Kumar Jidigam, Thomas H. Austin, Mark Stamp

J. Comput. Virol. Hacking Tech., 2015

Hidden Markov models for malware classification.

Chinmayee Annachhatre, Thomas H. Austin, Mark Stamp

J. Comput. Virol. Hacking Tech., 2015

Compression-based analysis of metamorphic malware.

Jared Lee, Thomas H. Austin, Mark Stamp

Int. J. Secur. Networks, 2015

Masquerade detection on GUI-based Windows systems.

Arshi Agrawal, Mark Stamp

Int. J. Secur. Networks, 2015

2014

Metamorphic code generation from LLVM bytecode.

Teja Tamboli, Thomas H. Austin, Mark Stamp

J. Comput. Virol. Hacking Tech., 2014

Eigenvalue analysis for metamorphic detection.

Sayali Deshpande, Young Hee Park, Mark Stamp

J. Comput. Virol. Hacking Tech., 2014

Automating NFC message sending for good and evil.

Nikki Benecke Brandt, Mark Stamp

J. Comput. Virol. Hacking Tech., 2014

Hunting for Pirated Software Using Metamorphic Analysis.

Hardikkumar Rana, Mark Stamp

Inf. Secur. J. A Glob. Perspect., 2014

Cryptanalysis of Typex.

Kelly Chang, Richard M. Low, Mark Stamp

Cryptologia, 2014

HTTP attack detection using n-gram analysis.

Aditya Oza, Kevin Ross, Richard M. Low, Mark Stamp

Comput. Secur., 2014

2013

Chi-squared distance and metamorphic virus detection.

Annie H. Toderici, Mark Stamp

J. Comput. Virol. Hacking Tech., 2013

Metamorphic worm that carries its own morphing engine.

Sudarshan Madenur Sridhara, Mark Stamp

J. Comput. Virol. Hacking Tech., 2013

Simple substitution distance and metamorphic detection.

Gayathri Shanmugam, Richard M. Low, Mark Stamp

J. Comput. Virol. Hacking Tech., 2013

Structural entropy and metamorphic malware.

Donabelle Baysa, Richard M. Low, Mark Stamp

J. Comput. Virol. Hacking Tech., 2013

Hidden Markov Models for Software Piracy Detection.

Shabana Kazi, Mark Stamp

Inf. Secur. J. A Glob. Perspect., 2013

Efficient Cryptanalysis of Homophonic Substitution Ciphers.

Amrapali Dhavare, Richard M. Low, Mark Stamp

Cryptologia, 2013

Deriving common malware behavior through graph clustering.

Young Hee Park, Douglas S. Reeves, Mark Stamp

Comput. Secur., 2013

Exploring Hidden Markov Models for Virus Analysis: A Semantic Approach.

Thomas H. Austin, Eric Filiol, Sébastien Josse, Mark Stamp

Proceedings of the 46th Hawaii International Conference on System Sciences, 2013

2012

Opcode graph similarity and metamorphic detection.

Neha Runwal, Richard M. Low, Mark Stamp

J. Comput. Virol., 2012

2011

Hunting for undetectable metamorphic viruses.

Da Lin, Mark Stamp

J. Comput. Virol., 2011

Masquerade detection using profile hidden Markov models.

Lin Huang, Mark Stamp

Comput. Secur., 2011

2010

Software Reverse Engineering.

Teodoro Cipresso, Mark Stamp

Proceedings of the Handbook of Information and Communication Security, 2010

iPhone Security Analysis.

Vaibhav Ranchhoddas Pandya, Mark Stamp

J. Information Security, 2010

A highly metamorphic virus generator.

Priti Desai, Mark Stamp

Int. J. Multim. Intell. Secur., 2010

2009

Profile hidden Markov models and metamorphic virus detection.

Srilatha Attaluri, Scott McGhee, Mark Stamp

J. Comput. Virol., 2009

2008

An agent-based privacy-enhancing model.

Hsu-Hui Lee, Mark Stamp

Inf. Manag. Comput. Secur., 2008

QuickPay Online Payment Protocol.

Jian Dai, Mark Stamp

Proceedings of the Twentieth International Conference on Software Engineering & Knowledge Engineering (SEKE'2008), 2008

2007

Solvable problems in enterprise digital rights management.

E. John Sebes, Mark Stamp

Inf. Manag. Comput. Secur., 2007

Sigaba: Cryptanalysis of the Full Keyspace.

Mark Stamp, Wing On Chan

Cryptologia, 2007

2006

Hunting for metamorphic engines.

Wing Wong, Mark Stamp

J. Comput. Virol., 2006

P3P privacy enhancing agent.

Hsu-Hui Lee, Mark Stamp

Proceedings of the 3rd ACM Workshop On Secure Web Services, 2006

Role Based Access Control and the JXTA Peer-to-Peer Framework.

Amit Mathur, Suneuy Kim, Mark Stamp

Proceedings of the 2006 International Conference on Security & Management, 2006

2005

A characterization of a class of discrete nonlinear feedback systems.

Clyde F. Martin, Mark Stamp, Dorothy I. Wallace

Commun. Inf. Syst., 2005

Stealthy Ciphertext.

Martina Simova, Mark Stamp, Chris Pollett

Proceedings of The 2005 International Conference on Internet Computing, 2005

Information security - principles and practice.

Mark Stamp

Wiley, ISBN: 978-0-471-73848-0, 2005

2004

Risks of monoculture.

Mark Stamp

Commun. ACM, 2004

2003

Digital Rights Management: The Technology Behind the Hype.

Mark Stamp

J. Electron. Commer. Res., 2003

2002

Risks of digital rights management.

Mark Stamp

Commun. ACM, 2002

1993

An algorithm for the k-error linear complexity of binary sequences with period 2n.

Mark Stamp, Clyde F. Martin

IEEE Trans. Inf. Theory, 1993

1992

A generalized linear complexity.

Mark Steven Stamp

PhD thesis, 1992

Circular Binary Sequences.

Mark Stamp

SIAM Rev., 1992