Richard J. Zak

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Edward RaffBooz Allen Hamilton, UMBCVerified email at bah.com
Charles NicholasUMBCVerified email at umbc.edu
JE HoltLaboratory for Physical SciencesVerified email at holt.net
Mark McLeanUniversity of MarylandVerified email at lps.umd.edu
Sudip MittalAssistant Professor & Associate Research Director, Mississippi State UniversityVerified email at cse.msstate.edu
Aritran PiplaiThe University of Texas at El PasoVerified email at utep.edu
Anupam JoshiOros Family Professor in Technology, CSEE Department, UMBCVerified email at umbc.edu
Hyrum AndersonRobust IntelligenceVerified email at robustintelligence.com
William FleshmanVerified email at mail.mil
Jared SylvesterAmazon Web ServicesVerified email at amazon.com
Bobby FilarSublime SecurityVerified email at sublimesecurity.com
Tim FininUniversity of Maryland, Baltimore CountyVerified email at umbc.edu
Gary LopezMicrosoftVerified email at microsoft.com

Richard J. Zak

UMBC

Verified email at umbc.edu - Homepage

Cybersecurity Machine Learning Malware Data Science


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An investigation of byte n-gram features for malware classification E Raff, R Zak, R Cox, J Sylvester, P Yacci, R Ward, A Tracy, M McLean, ... Journal of Computer Virology and Hacking Techniques 14, 1-20, 2018	185	2018
Relext: Relation extraction using deep learning approaches for cybersecurity knowledge graph improvement A Pingle, A Piplai, S Mittal, A Joshi, J Holt, R Zak Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019	117	2019
Creating cybersecurity knowledge graphs from malware after action reports A Piplai, S Mittal, A Joshi, T Finin, J Holt, R Zak IEEE Access 8, 211691-211703, 2020	81	2020
Static malware detection & subterfuge: Quantifying the robustness of machine learning and current anti-virus W Fleshman, E Raff, R Zak, M McLean, C Nicholas 2018 13th International Conference on Malicious and Unwanted Software …, 2018	53	2018
Classifying sequences of extreme length with constant memory applied to malware detection E Raff, W Fleshman, R Zak, HS Anderson, B Filar, M McLean Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9386-9394, 2021	48	2021
What can N-grams learn for malware detection? R Zak, E Raff, C Nicholas 2017 12th International Conference on Malicious and Unwanted Software …, 2017	45	2017
Automatic yara rule generation using biclustering E Raff, R Zak, G Lopez Munoz, W Fleming, HS Anderson, B Filar, ... Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security …, 2020	33	2020
Kilograms: Very large n-grams for malware classification E Raff, W Fleming, R Zak, H Anderson, B Finlayson, C Nicholas, ... arXiv preprint arXiv:1908.00200, 2019	21	2019
Minimizing Compute Costs: When Should We Run More Expensive Malware Analysis? AT Nguyen, R Zak, LE Richards, M Fuchs, F Lu, R Brandon, GL Munoz, ...	1	2022
RelExt A Pingle, A Piplai, S Mittal, A Joshi, J Holt, R Zak Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019	1	2019
Creating Cybersecurity Knowledge Graphs From Malware After Action Reports TIM FININ, J HOLT, R ZAK

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