Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mustapha Belouch"'
Publikováno v:
Intelligent Data Analysis. 22:1209-1226
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c5414d1992920a6035fcd660a768a79
https://doi.org/10.3233/ida-173624
https://doi.org/10.3233/ida-173624
Publikováno v:
Security and Communication Networks, Vol 2018 (2018)
Cloud Computing services are often delivered through HTTP protocol. This facilitates access to services and reduces costs for both providers and end-users. However, this increases the vulnerabilities of the Cloud services face to HTTP DDoS attacks. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1af53b4ba473c47589e76a650c764b1f
https://doi.org/10.1155/2018/1263123
https://doi.org/10.1155/2018/1263123
Publikováno v:
Applied Intelligence. 48:3193-3208
Even though advanced Machine Learning (ML) techniques have been adopted for DDoS detection, the attack remains a major threat of the Internet. Most of the existing ML-based DDoS detection approaches are under two categories: supervised and unsupervis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60db0c922cdad29cfd1a98410b90f382
https://doi.org/10.1007/s10489-018-1141-2
https://doi.org/10.1007/s10489-018-1141-2
Publikováno v:
Procedia Computer Science. 127:1-6
Nowadays, network intrusion is considered as one of the major concerns in network communications. Thus, the developed network intrusion detection systems aim to identify attacks or malicious activities in a network environment. Various methods have b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bdaed80282b1d5c1cdedd03013b04d0
https://doi.org/10.1016/j.procs.2018.01.091
https://doi.org/10.1016/j.procs.2018.01.091
Publikováno v:
Procedia Computer Science. 127:35-41
Nearly two decades after its emergence, the Cloud Computing remains gaining traction among organizations and individual users. Many security issues arise with the transition to this computing paradigm including intrusions detection. Intrusion and att
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a799c59d8f9b88e88bcff5eef3069cc
https://doi.org/10.1016/j.procs.2018.01.095
https://doi.org/10.1016/j.procs.2018.01.095
Autor:
Salah El Hadaj, Mustapha Belouch
Publikováno v:
ICC
This paper investigates the possibility of using ensemble learning methods to improve the performance of intrusion detection systems. We compare an ensemble of three ensemble learning methods, boosting, bagging and stacking in order to improve the de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab0d775fc5d922795893061564cae253
https://doi.org/10.1145/3018896.3065830
https://doi.org/10.1145/3018896.3065830
Publikováno v:
International Journal of Advanced Computer Science and Applications. 8
In this paper, we present a two-stage classifier based on RepTree algorithm and protocols subset for network intrusion detection system. To evaluate the performance of our approach, we used the UNSW-NB15 data set and the NSL-KDD data set. In first ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cea2bd7a21608f958f4a7bff1bb0f97
https://doi.org/10.14569/ijacsa.2017.080651
https://doi.org/10.14569/ijacsa.2017.080651
Publikováno v:
International Journal of Advanced Computer Science and Applications. 8
DoS attack tools have become increasingly sophis-ticated challenging the existing detection systems to continually improve their performances. In this paper we present a victim-end DoS detection method based on Artificial Neural Networks (ANN). In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::031cd961bd104e03c6e3127b97140bc3
https://doi.org/10.14569/ijacsa.2017.080461
https://doi.org/10.14569/ijacsa.2017.080461