Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Michail Tsikerdekis"'
Autor:
Richard Li, Michail Tsikerdekis
Publikováno v:
Journal of Cybersecurity and Privacy, Vol 3, Iss 3, Pp 435-450 (2023)
Network anomaly detection solutions can analyze a network’s data volume by protocol over time and can detect many kinds of cyberattacks such as exfiltration. We use exponential random graph models (ERGMs) in order to flatten hourly network topologi
Externí odkaz:
https://doaj.org/article/60324e44b1f84d98a6c8b19e1f454f93
Publikováno v:
Journal of Cybersecurity and Privacy, Vol 1, Iss 2, Pp 239-251 (2021)
Marine network protocols are domain-specific network protocols that aim to incorporate particular features within the specialized marine context that devices are implemented in. Devices implemented in such vessels involve critical equipment; however,
Externí odkaz:
https://doaj.org/article/de2a7cd9c62e4bf0a2f259d669e2e890
Publikováno v:
IEEE Access, Vol 9, Pp 134530-134542 (2021)
Network anomaly detection solutions are being used as defense against several attacks, especially those related to data exfiltration. Several methods exist in the literature, such as clustering or neural networks. However, these methods often focus o
Externí odkaz:
https://doaj.org/article/b381e695028f4814b0e140ec312578cf
Autor:
David H Smith IV, Qiang Hao, Vanessa Dennen, Michail Tsikerdekis, Bradly Barnes, Lilu Martin, Nathan Tresham
Publikováno v:
International Journal of Educational Technology in Higher Education, Vol 17, Iss 1, Pp 1-15 (2020)
Abstract Online question & answer (Q & A) is a distinctive type of online interaction that is impactful on student learning. Prior studies on online interaction in large-scale classes mainly focused on online discussion and were conducted mainly in n
Externí odkaz:
https://doaj.org/article/5ca9e8baaaa949b98ec36310d0f924c3
Publikováno v:
IEEE Access, Vol 8, Pp 195763-195771 (2020)
Bots in video games has been gaining the interest of industry as well as academia as a problem that has been enabled by the recent advances in deep learning and reinforcement learning. In turn several studies have attempted to establish bot detectors
Externí odkaz:
https://doaj.org/article/3270a05492a44bd4a0914d4c5318968c
Publikováno v:
Future Internet, Vol 12, Iss 9, p 148 (2020)
Identity deception in online social networks is a pervasive problem. Ongoing research is developing methods for identity deception detection. However, the real-world efficacy of these methods is currently unknown because they have been evaluated larg
Externí odkaz:
https://doaj.org/article/40502c0d888e49f6b5e1fb4f2241cb97
Publikováno v:
Journal of Cybersecurity and Privacy, Vol 1, Iss 13, Pp 239-251 (2021)
Marine network protocols are domain-specific network protocols that aim to incorporate particular features within the specialized marine context that devices are implemented in. Devices implemented in such vessels involve critical equipment; however,
Publikováno v:
IEEE Internet Computing. 25:73-83
In the last few years, we have witnessed an explosive growth of fake content on the Internet which has significantly affected the veracity of information on many social platforms. Much of this disruption has been caused by the proliferation of advanc
Autor:
Bradly Barnes, Qiang Hao, Michail Tsikerdekis, Lilu Martin, Vanessa P. Dennen, Nathan Tresham, David H. Smith
Publikováno v:
International Journal of Educational Technology in Higher Education, Vol 17, Iss 1, Pp 1-15 (2020)
Online question & answer (Q & A) is a distinctive type of online interaction that is impactful on student learning. Prior studies on online interaction in large-scale classes mainly focused on online discussion and were conducted mainly in non-STEM f
Autor:
Michail Tsikerdekis, Sherali Zeadally
Publikováno v:
IT Professional. 22:35-44
The surge of content (such as fake news) in the last few years has made content deception an important area of research. We identify two main types of content deception based on either fake content or misleading content. We present a classification o