Carnegie Mellon University

Samuel Perl

Adjunct Instructor

Bio

Samuel J. Perl is a senior member of the technical staff on the CSIRT development team within the CERT® Program at the Software Engineering Institute (SEI), a unit of Carnegie Mellon University in Pittsburgh, PA. He has been at CERT since 2011 and has performed research in a variety of areas including insider threat, vulnerability assessment, security incident and threat data analysis, threat modeling, information sharing, artificial intelligence, cognitive processes, formal methods, and incident management team development. Prior to CERT, Perl gained over 10 years of industry experience working with client organizations to manage their most challenging IT security risk issues. Perl holds a M.S. in Information Security Management from Carnegie Mellon University and a B.S. in Information Systems from Carnegie Mellon University. He has also held appointments as an adjunct instructor in the Carnegie Mellon University's Information Systems (IS) program, Heinz College of Information Systems Policy and Management and formerly in the West Virginia University Honors College. He is also a member of the graduate faculty at the Florida Institute of Technology where he serves as a cybersecurity advisor on thesis and project committees.

Publications

Selected recent professional presentations:

Alfageeh, Ali, et al. “Assurance for CyberSecurity with Assume-Guarantee Reasoning.” 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). IEEE, 2019.

Ettinger, Jared. “Cyber Intelligence Tradecraft Report the State of Cyber Intelligence Practices in the United States, Rapor.” CARNEGIE-MELLON UNIV PITTSBURGH PA PITTSBURGH United States, 2019.

I am a co-author of the Forum for Incident Response (FIRST) Computer Security Incident Response Team (CSIRT) Services Framework 2.0, referred to as the FIRST CSIRT Services Framework 2.0

Moore, Andrew P., et al. “The Critical Role of Positive Incentives for Reducing Insider Threats”. No. CMU/SEI-2016-TR-014. CARNEGIE-MELLON UNIV PITTSBURGH PA PITTSBURGH United States, 2016.

Woods, Bronwyn, Samuel J. Perl, and Brian Lindauer. “Data mining for efficient collaborative information discovery.” Proceedings of the 2nd ACM Workshop on Information Sharing and Collaborative Security (WISCS 2015). ACM, 2015.

 

Selected recent external presentations:

Blockchain and Incident Response Dealing with Blockchain Technology for Incident Responders, FIRST Regional Symposium for Latin America & Caribbean (May 2022)

The Carnegie Mellon University Software Engineering Institute Research Review (June 2017)

Harvesting Artifacts - Improving Useful Data Extraction from Cybersecurity Incident Reports, FIRST Conference for Incident Response (June 2017)

Measuring Similarity Between Cyber Security Incident Reports, FIRST Conference for Incident Response (June 2017)