Mark Stamp

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A comparison of machine learning classifiers for acoustic gait analysis

Mark Stamp, Fabio Di Troia, Jasper Huang, 2018 .

Clustering versus SVM for malware detection

Mark Stamp, Fabio Di Troia, Usha Narra, 2015, Journal of Computer Virology and Hacking Techniques.

Real‐World Security Protocols

Mark Stamp, M. Stamp, 2005 .

Circular Binary Sequences

Mark Stamp, M. Stamp, 1992, SIAM Rev..

Autocorrelation Analysis of Financial Botnet Traffic

Mark Stamp, Fabio Di Troia, Thomas H. Austin, 2018, ICISSP.

Pokemon Cards and the Shortest Common Superstring

Mark Stamp, Austin E Stamp, M. Stamp, 2003 .

A Full Frontal View of Profile Hidden Markov Models

Mark Stamp, M. Stamp, 2017 .

Information Security Textbook

Mark Stamp, M. Stamp, 2005 .

Java Design Pattern Obfuscation

Mark Stamp, Praneeth Kumar Gone, 2013 .

Detecting malware evolution using support vector machines

Mark Stamp, Fabio Di Troia, Mayuri Wadkar, 2020, Expert Syst. Appl..

SocioBot: a Twitter-based botnet

Mark Stamp, Fabio Di Troia, Corrado Aaron Visaggio, 2017, Int. J. Secur. Networks.

A Reassuring Introduction to Support Vector Machines

Mark Stamp, M. Stamp, 2017 .

Software Reverse Engineering

Mark Stamp, Teodoro Cipresso, 2010, Handbook of Information and Communication Security.

Malware Detection Using Dynamic Birthmarks

Mark Stamp, Fabio Di Troia, Corrado Aaron Visaggio, 2016, IWSPA@CODASPY.

Feature analysis of encrypted malicious traffic

Mark Stamp, Fabio Di Troia, Anish Singh Shekhawat, 2019, Expert Syst. Appl..

Transfer Learning for Image-Based Malware Classification

Mark Stamp, Fabio Di Troia, Niket Bhodia, 2019, ICISSP.

HOW SMART IS YOUR ANDROID SMARTPHONE

Mark Stamp, Chris Pollett, Jon Pearce, 2010 .

A Comprehensible Collection of Clustering Concepts

Mark Stamp, M. Stamp, 2017 .

Hidden Markov models for malware classification

Mark Stamp, Thomas H. Austin, Chinmayee Annachhatre, 2015, Journal of Computer Virology and Hacking Techniques.

Masquerade detection on GUI-based Windows systems

Mark Stamp, Arshi Agrawal, 2015, Int. J. Secur. Networks.

Stochastic analysis of vaccination strategies

Mark Stamp, Clyde F. Martin, Linda J. S. Allen, 1992 .

Simple substitution distance and metamorphic detection

Mark Stamp, Richard M. Low, Gayathri Shanmugam, 2013, Journal of Computer Virology and Hacking Techniques.

Risks of monoculture

Mark Stamp, M. Stamp, 2004, CACM.

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

Mark Stamp, Fabio Di Troia, Corrado Aaron Visaggio, 2015, Journal of Computer Virology and Hacking Techniques.

Hunting for metamorphic JavaScript malware

Mark Stamp, Thomas H. Austin, Mangesh Musale, 2015, Journal of Computer Virology and Hacking Techniques.

Mark Stamp, Neha Runwal, Richard M. Low, 2012, Journal in Computer Virology.

Classic cryptanalysis using hidden Markov models

Mark Stamp, Fabio Di Troia, Corrado Aaron Visaggio, 2017, Cryptologia.

Multifamily malware models

Mark Stamp, Fabio Di Troia, Samanvitha Basole, 2020, Journal of Computer Virology and Hacking Techniques.

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

Mark Stamp, M. Stamp, 2018, Guide to Vulnerability Analysis for Computer Networks and Systems.

SIGABA: Cryptanalysis of the Full Keyspace

Mark Stamp, Wing On Chan, 2007, Cryptologia.

Support vector machines and malware detection

Mark Stamp, Fabio Di Troia, Corrado Aaron Visaggio, 2016, Journal of Computer Virology and Hacking Techniques.

On the effectiveness of generic malware models

Mark Stamp, Fabio Di Troia, Naman Bagga, 2018 .

Masquerade Detection on Mobile Devices

Mark Stamp, Fabio Di Troia, Swathi Nambiar Kadala Manikoth, 2018, Guide to Vulnerability Analysis for Computer Networks and Systems.

Information security - principles and practice

Mark Stamp, M. Stamp, 2005 .

Appendix: A‐1 Network Security Basics

Mark Stamp, M. Stamp, 2011 .

Software Flaws and Malware

Mark Stamp, M. Stamp, 2005, Information Security.

Digital Rights Management: The Technology Behidn The Hype

Mark Stamp, M. Stamp, 2003 .

A completely covert audio channel in Android

Mark Stamp, Sukanya Thakur, 2016, Journal of Computer Virology and Hacking Techniques.

Symmetric Key Crypto

Mark Stamp, M. Stamp, 2005 .

Hidden Markov Models for Vigenère Cryptanalysis

Mark Stamp, Fabio Di Troia, Jasper Huang, 2018, HistoCrypt.

Public Key Crypto

Mark Stamp, M. Stamp, 2005 .

On the Effectiveness of Generic Malware Models

Mark Stamp, Fabio Di Troia, Naman Bagga, 2018, ICETE.

Convolutional neural networks and extreme learning machines for malware classification

Mark Stamp, Mugdha Jain, William Andreopoulos, 2020, Journal of Computer Virology and Hacking Techniques.

Robust Hashing for Image-based Malware Classification

Mark Stamp, Fabio Di Troia, Wei-Chung Huang, 2018, ICETE.

Robust Watermarking using Hidden Markov Models

Mark Stamp, Mausami Mungale, M. Stamp, 2011 .

Evaluations and Enhancements in 802.11n WLANs â•fi Error-Sensitive Adaptive Frame Aggregation

Mark Stamp, Sjsu ScholarWorks, Melody Moh, 2014 .

Public Key Systems

Mark Stamp, Richard M. Low, 2007 .

An analysis of Android adware

Mark Stamp, Fabio Di Troia, Katerina Potika, 2018, Journal of Computer Virology and Hacking Techniques.

Insecurity in Software

Mark Stamp, M. Stamp, 2005, Information Security.

A Revealing Introduction to Hidden Markov Models

Mark Stamp, M. Stamp, 2017 .

Kullback-Leibler Divergence for Masquerade Detection

Mark Stamp, Richard M. Low, Geetha Ranjini Viswanathan, 2013 .

Static and Dynamic Analysis of Android Malware

Mark Stamp, Fabio Di Troia, Ankita Kapratwar, 2017, ICISSP.

Image spam analysis and detection

Mark Stamp, Annapurna Annadatha, M. Stamp, 2018, Journal of Computer Virology and Hacking Techniques.

Metamorphic worm that carries its own morphing engine

Mark Stamp, Sudarshan Madenur Sridhara, M. Stamp, 2013, Journal of Computer Virology and Hacking Techniques.

Profile hidden Markov models and metamorphic virus detection

Mark Stamp, Scott McGhee, Srilatha Attaluri, 2009, Journal in Computer Virology.

SocioBot: a Twitter-based botnet

Mark Stamp, Fabio Di Troia, Corrado Aaron Visaggio, 2016 .

A Revealing Introduction to Hidden Markov Models Mark Stamp

Mark Stamp, M. Stamp, 2004 .

Deriving common malware behavior through graph clustering

Mark Stamp, Douglas S. Reeves, Younghee Park, 2013, Comput. Secur..

Hash Functions and Other Topics

Mark Stamp, M. Stamp, 2005 .

Detecting Encrypted and Polymorphic Malware Using Hidden Markov Models

Mark Stamp, Fabio Di Troia, Katerina Potika, 2018, Guide to Vulnerability Analysis for Computer Networks and Systems.

Structural entropy and metamorphic malware

Mark Stamp, Richard M. Low, Donabelle Baysa, 2013, Journal of Computer Virology and Hacking Techniques.

An agent-based privacy-enhancing model

Mark Stamp, Hsu-Hui Lee, 2008, Inf. Manag. Comput. Secur..

Black box analysis of android malware detectors

Mark Stamp, Fabio Di Troia, Guruswamy Nellaivadivelu, 2020, Array.

Digital Rights Management: The Technology Behind the Hype

Mark Stamp, M. Stamp, 2003, J. Electron. Commer. Res..

Support Vector Machines for Image Spam Analysis

Mark Stamp, Fabio Di Troia, Katerina Potika, 2018 .

Eigenvalue analysis for metamorphic detection

Mark Stamp, Younghee Park, Sayali Deshpande, 2014, Journal of Computer Virology and Hacking Techniques.

Chi-squared distance and metamorphic virus detection

Mark Stamp, Annie H. Toderici, M. Stamp, 2013, Journal of Computer Virology and Hacking Techniques.

Mark Stamp, Mausami Mungale, M. Stamp, 2012 .

BootBandit: A macOS bootloader attack

Mark Stamp, Armen Boursalian, M. Stamp, 2019, Engineering Reports.

World War II Ciphers

Mark Stamp, Richard M. Low, M. Stamp, 2007 .

Acoustic Gait Analysis using Support Vector Machines

Mark Stamp, Fabio Di Troia, Jasper Huang, 2018, ICISSP.

Automatic NFC message sending good and evil

Mark Stamp, Nikki Benecke Brandt, M. Stamp, 2014 .

Risks of digital rights management

Mark Stamp, 2002, CACM.

Exploring Hidden Markov Models for Virus Analysis: A Semantic Approach

Mark Stamp, Thomas H. Austin, Eric Filiol, 2013, 2013 46th Hawaii International Conference on System Sciences.

Metamorphic Malware Detection Using Function Call Graph Analysis

Mark Stamp, Prasad Deshpande, 2016 .

Hidden Markov Models for Software Piracy Detection

Mark Stamp, Shabana Kazi, 2013, Inf. Secur. J. A Glob. Perspect..

Public Key Attacks

Mark Stamp, Richard M. Low, 2007 .

QuickPay Online Payment Protocol

Mark Stamp, Jian Dai, M. Stamp, 2008, SEKE.

Automating NFC message sending for good and evil

Mark Stamp, Nikki Benecke Brandt, 2014, Journal of Computer Virology and Hacking Techniques.

A characterization of a class of discrete nonlinear feedback systems

Mark Stamp, Clyde F. Martin, Dorothy I. Wallace, 2005, Commun. Inf. Syst..

Applied Cryptanalysis: Breaking Ciphers in the Real World

Mark Stamp, Richard M. Low, M. Stamp, 2007 .

Practical Detection of Metamorphic Computer Viruses

Mark Stamp, Sjsu ScholarWorks, Robert Chun, 2008 .

Function Call Graphs Versus Machine Learning for Malware Detection

Mark Stamp, Fabio Di Troia, Thomas H. Austin, 2018, Guide to Vulnerability Analysis for Computer Networks and Systems.

iPhone Security Analysis

Mark Stamp, Vaibhav Ranchhoddas Pandya, 2010, J. Information Security.

Efficient Cryptanalysis of Homophonic Substitution Ciphers

Mark Stamp, Richard M. Low, Amrapali Dhavare, 2013, Cryptologia.

Social Networking for Botnet Command and Control

Mark Stamp, Kevin Ross, Annie H. Toderici, 2013 .

Compression-based analysis of metamorphic malware

Mark Stamp, Thomas H. Austin, Jared Lee, 2015, Int. J. Secur. Networks.

A Dynamic Heuristic Method for Detecting Packed Malware Using Naive Bayes

Mark Stamp, Ehab M. Alkhateeb, M. Stamp, 2019, 2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA).

Stealthy Ciphertext

Mark Stamp, Chris Pollett, Martina Simova, 2005, International Conference on Internet Computing.

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

Mark Stamp, Clyde F. Martin, M. Stamp, 1993, IEEE Trans. Inf. Theory.

Handbook of Information and Communication Security

Mark Stamp, Peter Stavroulakis, M. Stamp, 2010, Handbook of Information and Communication Security.

P3P privacy enhancing agent

Mark Stamp, Hsu-Hui Lee, 2006, SWS '06.

Hunting for Pirated Software Using Metamorphic Analysis

Mark Stamp, Hardikkumar Rana, M. Stamp, 2014, Inf. Secur. J. A Glob. Perspect..

Digital Rights Management for Streaming Media

Mark Stamp, Deepali Brahmbhatt, 2009 .

HTTP attack detection using n-gram analysis

Mark Stamp, Kevin Ross, Richard M. Low, 2014, Comput. Secur..

Convolutional neural networks for image spam detection

Mark Stamp, Fabio Di Troia, Katerina Potika, 2020, Inf. Secur. J. A Glob. Perspect..

Operating Systems and Security

Mark Stamp, M. Stamp, 2005 .

Static Analysis of Malicious Java Applets

Mark Stamp, Fabio Di Troia, Corrado Aaron Visaggio, 2016, IWSPA@CODASPY.

Software Activation Using Multithreading

Mark Stamp, Jianrui Zhang, 2012 .

Simple Authentication Protocols

Mark Stamp, M. Stamp, 2005 .

Metamorphic code generation from LLVM bytecode

Mark Stamp, Thomas H. Austin, Teja Tamboli, 2013, Journal of Computer Virology and Hacking Techniques.

Robust Hashing for Image-based Malware Classification

Mark Stamp, Fabio Di Troia, Wei-Chung Huang, 2018 .

Masquerade detection using profile hidden Markov models

Mark Stamp, Lin Huang, 2011, Comput. Secur..

Improved image spam detection

Mark Stamp, A. Chavda, M. Stamp, 2017 .

Dueling hidden Markov models for virus analysis

Eric Filiol, Mark Stamp, Thomas H. Austin, 2015, Journal of Computer Virology and Hacking Techniques.

Unpredictable Binary Strings

Mark Stamp, Richard M. Low, R. Craigen, 2005 .

A Comparative Analysis of Android Malware

Mark Stamp, Fabio Di Troia, Neeraj Chavan, 2019, ICISSP.

Hidden Markov models with random restarts versus boosting for malware detection

Mark Stamp, Fabio Di Troia, Aditya Raghavan, 2018, Journal of Computer Virology and Hacking Techniques.

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

Mark Stamp, Amit Mathur, Suneuy Kim, 2006, Security and Management.

Singular value decomposition and metamorphic detection

Mark Stamp, Thomas H. Austin, Ranjith Kumar Jidigam, 2015, Journal of Computer Virology and Hacking Techniques.

Cryptanalysis of Typex

Mark Stamp, Richard M. Low, Kelly Chang, 2014, Cryptologia.

Advanced transcriptase for JavaScript malware

Mark Stamp, Fabio Di Troia, Corrado Aaron Visaggio, 2016, 2016 11th International Conference on Malicious and Unwanted Software (MALWARE).

Introduction to Machine Learning with Applications in Information Security

Mark Stamp, M. Stamp, 2017 .

Hamptonese and hidden markov models

Mark Stamp, Ethan Le, 2005 .

A highly metamorphic virus generator

Mark Stamp, Priti Desai, 2010, Int. J. Multim. Intell. Secur..

Virtual values for taint and information flow analysis

Mark Stamp, Thomas H. Austin, Cormac Flanagan, 2016 .

Vigenère scores for malware detection

Mark Stamp, Fabio Di Troia, Suchita Deshmukh, 2017, Journal of Computer Virology and Hacking Techniques.

Deep Learning versus Gist Descriptors for Image-based Malware Classification

Mark Stamp, Fabio Di Troia, Sravani Yajamanam, 2018, ICISSP.

Hunting for metamorphic engines

Mark Stamp, Wing Wong, M. Stamp, 2006, Journal in Computer Virology.

Support Vector Machines for Image Spam Analysis

Mark Stamp, Fabio Di Troia, Katerina Potika, 2018, ICETE.

Solvable problems in enterprise digital rights management

Mark Stamp, E. John Sebes, M. Stamp, 2007, Inf. Manag. Comput. Secur..

Hunting for undetectable metamorphic viruses

Mark Stamp, Da Lin, M. Stamp, 2011, Journal in Computer Virology.

Clustering for malware classification

Mark Stamp, Fabio Di Troia, Corrado Aaron Visaggio, 2017, Journal of Computer Virology and Hacking Techniques.

On Ensemble Learning pdf

Mark Stamp, Aniket Chandak, Gavin Wong, 2021, ArXiv.

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

Mark Stamp, Fabio Di Troia, Elliu Huang, 2021, ArXiv.

Machine Learning for Malware Evolution Detection pdf

Mark Stamp, Lolitha Sresta Tupadha, M. Stamp, 2021, ArXiv.

Clickbait Detection in YouTube Videos pdf

Mark Stamp, Fabio Di Troia, Ruchira Gothankar, 2021, ArXiv.

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

Mark Stamp, Han-Chih Chang, Jianwei Li, 2021, ArXiv.

CNN vs ELM for Image-Based Malware Classification pdf

Mark Stamp, Mugdha Jain, William Andreopoulos, 2021, ArXiv.

Malware Classification with GMM-HMM Models pdf

Mark Stamp, Jing Zhao, Samanvitha Basole, 2021, ICISSP.

Computer-Aided Diagnosis of Low Grade Endometrial Stromal Sarcoma (LGESS)

Mark Stamp, Xinxin Yang, M. Stamp, 2021, Comput. Biol. Medicine.

Auxiliary-Classifier GAN for Malware Analysis pdf

Mark Stamp, Rakesh Nagaraju, M. Stamp, 2021, ArXiv.

A New Dataset for Smartphone Gesture-based Authentication

Mark Stamp, Fabio Di Troia, Elliu Huang, 2021, ICISSP.

Malware Classification with Word Embedding Features

Mark Stamp, Fabio Di Troia, Aparna Sunil Kale, 2021, ICISSP.

Free-Text Keystroke Dynamics for User Authentication pdf

Mark Stamp, Han-Chih Chang, Jianwei Li, 2021, ArXiv.

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

Mark Stamp, Han-Chih Chang, Jianwei Li, 2021, ArXiv.

Detecting Undetectable Metamorphic Viruses

Mark Stamp, M. Stamp, Sujandharan Venkatachalam, 2011 .

A mathematical analysis and simulation of a localized measles epidemic

Mark Stamp, Linda J. S. Allen, Clyde F. Martin, 1990 .

Discrete observability and numerical quadrature

Mark Stamp, Clyde F. Martin, M. Stamp, 1991 .

A note on the error in gaussian quadrature

Mark Stamp, Clyde F. Martin, 1992 .

P2PTunes: A Peer-to-Peer Digital Rights Management System

Mark Stamp, Ramya Venkataramu, 2009 .

Digital Rights Management for Untrusted Peer-to-Peer Networks

Mark Stamp, Pallavi Priyadarshini, 2009 .

Deep Thoughts on Deep Learning

Mark Stamp, 2018 .

Boost Your Knowledge of AdaBoost

Mark Stamp, 2017 .