Matthew Wright Headshot

Matthew Wright

Director of the Center for Cybersecurity Research
Global Cybersecurity Institute
Golisano College of Computing and Information Sciences
Director of Research for the Global Cybersecurity Institute
matthew.wright@rit.edu
585-475-5432
Office Location
GOL-2116
Office Mailing Address
152 Lomb Memorial Drive Rochester, NY 14623

Matthew Wright

Director of the Center for Cybersecurity Research
Global Cybersecurity Institute
Golisano College of Computing and Information Sciences
Director of Research for the Global Cybersecurity Institute

Education

BS, Harvey Mudd College; MS, Ph.D., University of Massachusetts at Amherst

Bio

Matt Wright is the Director of Research for the Global Cybersecurity Institute and a Professor of Computing Security. He graduated with his PhD from the Department of Computer Science at the University of Massachusetts in May, 2005, where he earned his MS in 2002. His dissertation work examined attacks and defenses of systems that provide anonymity online. His other interests include adversarial machine learning and understanding the human element of security. Previously, he earned his BS degree in Computer Science at Harvey Mudd College. He has been the lead investigator on over $3.7 million in funded projects, including an NSF CAREER award, and he has published 100 peer-reviewed papers, including numerous contributions in the most prestigious venues focused on computer security and privacy. Learn more: https://sites.google.com/site/matthewkwright/

matthew.wright@rit.edu
585-475-5432
Personal Links
Personal Website
Twitter
LinkedIn
Areas of Expertise
Anonymity and Privacy Online
Adversarial Machine Learning
Artificial Intelligence
Distributed Systems
Human-Computer Interaction
Security and Privacy

Currently Teaching

CSEC-759
Graduate Seminar in Computing Security
3 Credits
This course explores current topics in Computing Security. It is intended as a place holder course for faculty to experiment new course offerings in Computing Security undergraduate program. Course specific details change with respect to each specific focal area proposed by faculty.
CSEC-490
Capstone in Computing Security
3 Credits
This is a capstone course for students in the information security and forensics program. Students will apply knowledge and skills learned and work on real world projects in various areas of computing security. Projects may require performing security analysis of systems, networks, and software, etc., devising and implementing security solutions in real world applications.
CSEC-620
Cyber Analytics and Machine Learning
3 Credits
The course provides students an opportunity to explore methods and applications in cyber analytics with advanced machine learning algorithms including deep learning. Students will learn how to use machine learning methods to solve cybersecurity problems such as network security, anomaly detection, malware analysis, etc. Students will also learn basic concepts and algorithms in machine learning such as clustering, neural networks, adversarial machine learning, etc. A key component of the course will be an independent exploratory project to solve a security program with machine learning algorithms. Students taking this course should have knowledge in Discrete Math, Probability and Statistics, and Linear Algebra. Students should also be able to program in Python.
CSEC-520
Cyber Analytics and Machine Learning
3 Credits
The course provides students an opportunity to explore methods and applications in cyber analytics with advanced machine learning algorithms including deep learning. Students will learn how to use machine learning methods to solve cybersecurity problems such as network security, anomaly detection, malware analysis, etc. Students will also learn basic concepts and algorithms in machine learning such as clustering, neural networks, adversarial machine learning, etc. Students taking this course should have the 4th year status and completed MATH-190 Discrete Math, MATH-251 Probability and Statistics I, and MATH-241 Linear Algebra.

In the News

  • February 21, 2020

    two men standing in lobby of computing hall.

    Podcast: Using AI to Root Out Deep Fake Videos  

    Intersections: The RIT Podcast, Ep. 32: Deep learning, part of artificial intelligence, is being used to create fake videos that look and sound like the real thing. Professor Matthew Wright, director of RIT’s Center for Cybersecurity Research, talks with John Sohrawardi, a Ph.D. student in the Golisano College of Computing and Information Sciences, about software they are creating that uses AI to help journalists root out deep fake videos.

  • October 21, 2019

    Overhead view of students and faculty member working on laptop.

    RIT cybersecurity research recognized at top computing conference in London

    RIT researchers are heading to London in November to share four of their top cybersecurity research projects at an Association of Computing Machinery (ACM) conference. The RIT research varies from studying new machine-learning cyberattacks to an analysis of Security Operations Center issues.

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Select Scholarship

Journal Paper
Al-Ameen, Mahdi Nasrullah and Matthew Wright. "A Comprehensive Study of the GeoPass User Authentication Scheme." Interacting with Computers. (2016): 1-1. Web.
Al-Ameen, Mahdi Nasrullah and Matthew Wright. "iPersea: Towards Improving the Sybil-resilience of Social DHT." Journal of Network and Computer Applications 71. (2016): 1-10. Web.
Al-Ameen, Mahdi Nasrullah, S M Taiabul Haque, and Matthew Wright. "Leveraging Autobiographical Memory for Two-factor Online Authentication." Information and Computer Security 24. 4 (2016): 386-399. Print.
Barton, Armon and Matthew Wright. "DeNASA: Destination-Naive AS-Awareness in Anonymous Communications." Proceedings on Privacy Enhancing Technologies 2016. 4 (2016): 356—372. Web.
Published Conference Proceedings
Juarez, Marc, et al. "WTF-PAD: Toward an Efficient Website Fingerprinting Defense." Proceedings of the European Symposium on Research in Computer Security (ESORICS). Ed. Ioannis Askoxylakis, et al. Heraklion, Greece: Springer, 2016. Print.