Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ana Laura Gonzalez Rios"'
Publikováno v:
IEEE Communications Magazine. 61:20-26
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff54a1e01a2ba5cd74f92fc9192674bb
https://doi.org/10.1109/mcom.001.2200215
https://doi.org/10.1109/mcom.001.2200215
Publikováno v:
IEEE Journal on Selected Areas in Communications. 39:2254-2264
Cyber attacks are becoming more sophisticated and, hence, more difficult to detect. Using efficient and effective machine learning techniques to detect network anomalies and intrusions is an important aspect of cyber security. A variety of machine le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c1921f5f1ccc7ac2b8c2938dc15b5d8
https://doi.org/10.1109/jsac.2021.3078497
https://doi.org/10.1109/jsac.2021.3078497
Publikováno v:
2022 IEEE International Symposium on Circuits and Systems (ISCAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ee0cba058629ae368915cd5c7ade28e
https://doi.org/10.1109/iscas48785.2022.9937933
https://doi.org/10.1109/iscas48785.2022.9937933
Autor:
Kamila Bekshentayeva, Ljiljana Trajkovic, Ana Laura Gonzalez Rios, Soroush Haeri, Maheeppartap Singh
Publikováno v:
ISCAS
Advances in software defined and data center networks have enabled network virtualization. Virtual network embedding increases resources utilization and reduces cost of network deployment. Its performance depends on embedding algorithms and data cent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecec76abfe8b41c238c95a2bc240509e
https://doi.org/10.1109/iscas51556.2021.9401784
https://doi.org/10.1109/iscas51556.2021.9401784
Publikováno v:
SMC
Analyzing and detecting Border Gateway Protocol (BGP) anomalies are topics of great interest in cybersecurity. Various anomaly detection approaches such as time series and historical-based analysis, statistical validation, reachability checks, and ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c440f5edd6b177e584f4336e7f3aa91
https://doi.org/10.1109/smc42975.2020.9283472
https://doi.org/10.1109/smc42975.2020.9283472
Publikováno v:
ISCAS
Using machine learning techniques to detect network intrusions is an important topic in cybersecurity. A variety of machine learning models have been designed to help detect malicious intentions of network users. We employ two deep learning recurrent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b39d2254d76c78f5c52b7ed1b6abf225
https://doi.org/10.1109/iscas.2019.8702583
https://doi.org/10.1109/iscas.2019.8702583
Publikováno v:
2019 IEEE 23rd International Conference on Intelligent Engineering Systems (INES).
Detecting anomalies and intrusions in communication networks is of great interest in cyber security. In this paper, we use Support Vector Machine (SVM) and Broad Learning System (BLS) supervised machine learning approaches to detect anomalies and int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c87162b99ed7e237a7d209b1cfdd8fcf
https://doi.org/10.1109/ines46365.2019.9109448
https://doi.org/10.1109/ines46365.2019.9109448