Výsledky vyhledávání - "Bollmann, Chad"

Dissertation/ Thesis

Optimization of DUPIC cycle environmental and economic performance

Autor: Bollmann, Chad A. (Chad Arnold), 1974

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering; and, (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, 1998.
Includes bibliographical references (leaves 109-111).
A study of the D

Externí odkaz: http://hdl.handle.net/1721.1/45495

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Cyber Systems: Their Science, Engineering, and Security

Autor: Scrofani, James, Bollmann, Chad, Roth, John, Hale, Britta

17 USC 105 interim-entered record; under temporary embargo. Cyber security is a multi-functionary area of practice; effective solutions are difficult because of the diverse range of expertise required and the involvement of fallible humans. The impac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2778::088e42d8a98f412e050a8edbf4d77358
https://hdl.handle.net/10945/66976

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Education is the Next Offset

Autor: Bollmann, Chad, Tomlinson, Warren, Herring, Clay, Pace, Howard Jr.

17 USC 105 interim-entered record; under review. The article of record as published may be found at https://www.usni.org/magazines/proceedings/2020/november/education-next-offset The Department of Defense (DoD) is seeking to identify and develop emer

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2778::56374274f0f743a2e436c317668dc022
https://hdl.handle.net/10945/66019

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Akademický článek

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Cyber System Assurance through Improved Network Anomaly Modeling and Detection

Autor: Bollmann, Chad A.

NPS NRP Executive Summary Cyber System Assurance through Improved Network Anomaly Modeling and Detection N8 - Integration of Capabilities & Resources This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1125225ea579d3813ec9348355365843
https://hdl.handle.net/10945/69941

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Improved Detection of Cyber Anomalies

Autor: Bollmann, Chad, Tummala, Murali, McEachen, John

Naval Research Program NRWG Poster

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2778::e2eae18d6b1d41348f82449c5c6ffdc8
https://hdl.handle.net/10945/60496

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Techniques to Improve Stable Distribution Modeling of Network Traffic

Autor: Bollmann, Chad, Tummala, Murali, McEachen, John C., Scrofani, James W., Kragh, Mark

The stable distribution has been shown to more accurately model some aspects of network traffic than alternative distributions. In this work, we quantitatively examine aspects of the modeling performance of the stable distribution as envisioned in a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2778::421f287ed8eef44d96b8a419969b49a5
https://hdl.handle.net/10945/59213

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Conference

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MACHINE LEARNING STATISTICAL DETECTION OF ANOMALIES USING NETFLOW RECORDS

Autor: Putman, Zachary W.

NetFlow is a network protocol system that is used to represent an overall summary of computer network conversations. A NetFlow record can convert previously captured packet captures or obtain NetFlow session data in real time. This research examines

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2778::88189c9e8c5bc98a46dbd9ddcecd80e5
https://hdl.handle.net/10945/71527

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