Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Jeffrey S Chavis"'
Architecting an Enterprise-of-Enterprises with the 10-Layer Rubric: Transforming EoE Decision-Making
Publikováno v:
2023 IEEE International Systems Conference (SysCon).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85e7ff788609ac1166d96f4a7c39a63b
https://doi.org/10.1109/syscon53073.2023.10131052
https://doi.org/10.1109/syscon53073.2023.10131052
Publikováno v:
Information, Vol 10, Iss 4, p 122 (2019)
This survey paper describes a literature review of deep learning (DL) methods for cyber security applications. A short tutorial-style description of each DL method is provided, including deep autoencoders, restricted Boltzmann machines, recurrent neu
Externí odkaz:
https://doaj.org/article/3be58bc54be94119ad041eb5784368c5
Autor:
Jeffrey S. Chavis, Malcom Doster, Michelle Feng, Syeda Zeeshan, Samantha Fu, Elizabeth Aguirre, Antonio Davila, Kofi Nyarko, Aaron Kunz, Tracy Herriotts, Daniel Syed, Lanier Watkins, Anna Buczak, Aviel Rubin
Publikováno v:
2021 IEEE Integrated STEM Education Conference (ISEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cb54764cb87a9eeec7eec6f20b84a5c
https://doi.org/10.1109/isec52395.2021.9764005
https://doi.org/10.1109/isec52395.2021.9764005
Autor:
Malcolm K Doster, Jeffrey S Chavis
Publikováno v:
2021 IEEE Integrated STEM Education Conference (ISEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38dfaf3356fda1008572367d728ecabc
https://doi.org/10.1109/isec52395.2021.9764103
https://doi.org/10.1109/isec52395.2021.9764103
Autor:
Michelle S Feng, Jeffrey S Chavis
Publikováno v:
2021 IEEE Integrated STEM Education Conference (ISEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5508c06af8d62ed420ea3cef475ad4b4
https://doi.org/10.1109/isec52395.2021.9764137
https://doi.org/10.1109/isec52395.2021.9764137
Autor:
Syeda J Zeeshan, Jeffrey S Chavis
Publikováno v:
2021 IEEE Integrated STEM Education Conference (ISEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0e179d84b86ad7cd34451b4f0b84b04
https://doi.org/10.1109/isec52395.2021.9763992
https://doi.org/10.1109/isec52395.2021.9763992
Publikováno v:
IDSTA
Today our world benefits from Internet of Things (IoT) technology; however, new security problems arise when these IoT devices are introduced into our homes. Because many of these IoT devices have access to the Internet and they have little to no sec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1616a47003a414d65e93cc3cddf0e52b
https://doi.org/10.1109/idsta50958.2020.9264143
https://doi.org/10.1109/idsta50958.2020.9264143
Publikováno v:
SP Workshops
Complex systems of IoT devices (SIoTD) are systems that have a single purpose but are made up of multiple IoT devices. These systems are becoming ubiquitous, have complex security requirements, and face a diverse and ever-changing array of cyber thre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d71861320d026e3a4d6dcda8a7acb4f9
https://doi.org/10.1109/spw50608.2020.00058
https://doi.org/10.1109/spw50608.2020.00058
Publikováno v:
CCWC
The Internet of Things (IoT) will dramatically transform the home experience, but it presents significant security risks. We propose a system that helps reduce the cognitive load on a user in keeping their smart home network protected. The system hel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa0e46ae8c4a327eb4ae0e700befc496
https://doi.org/10.1109/ccwc47524.2020.9031162
https://doi.org/10.1109/ccwc47524.2020.9031162
Publikováno v:
Information, Vol 10, Iss 4, p 122 (2019)
This survey paper describes a literature review of deep learning (DL) methods for cyber security applications. A short tutorial-style description of each DL method is provided, including deep autoencoders, restricted Boltzmann machines, recurrent neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87621c902a0d2b97cbac96ec76a977d9
https://www.mdpi.com/2078-2489/10/4/122
https://www.mdpi.com/2078-2489/10/4/122