Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Haitham A. Jamil"'
Autor:
Bushra Mohammed, Mosab Hamdan, Joseph Stephen Bassi, Haitham A. Jamil, Suleman Khan, Abdallah Elhigazi, Danda B. Rawat, Ismahani Binti Ismail, Muhammad Nadzir Marsono
Publikováno v:
IEEE Access, Vol 8, Pp 224059-224070 (2020)
Internet-of-Things (IoT) devices are massively interconnected, which generates a massive amount of network traffic. The concept of edge computing brings a new paradigm to monitor and manage network traffic at the network’s edge. Network traffic cla
Externí odkaz:
https://doaj.org/article/f3feac190128430981296527d118557e
Publikováno v:
International Journal of Evaluation & Research in Education; Oct2024, Vol. 13 Issue 5, p2835-2842, 8p
Autor:
Muhammad Nadzir Marsono, Ismahani Ismail, Abdallah Elhigazi, Bushra Mohammed, Joseph Stephen Bassi, Haitham A. Jamil, Danda B. Rawat, Mosab Hamdan, Suleman Khan
Publikováno v:
IEEE Access, Vol 8, Pp 224059-224070 (2020)
Internet-of-Things (IoT) devices are massively interconnected, which generates a massive amount of network traffic. The concept of edge computing brings a new paradigm to monitor and manage network traffic at the network’s edge. Network traffic cla
Publikováno v:
European Journal of Engineering and Technology Research. 4:131-137
Peer to peer applications have modified the nature of internet traffic. It will consume high internet bandwidth and affect the performance of traditional traffic internet applications. Therefore, the management and monitoring activity of internet tra
Autor:
S. Abdul Rahaman, Haitham A. Jamil
Publikováno v:
Artificial Intelligence Applications for Smart Societies ISBN: 9783030630676
Water scarcity is a threat to livelihood in the modern world. Many countries have taken actions to manage water resources and create awareness among people regarding water scarcity. A water management system must be used to avoid wasting water and re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::180283ae07c27c31afb8d64863149744
https://doi.org/10.1007/978-3-030-63068-3_3
https://doi.org/10.1007/978-3-030-63068-3_3
Autor:
Ismahani Ismail, Bushra Mohammed Ali Abdalla, Joseph Stephen Bassi, Mosab Hamdan, Muhammad Nadzir Marsono, Haitham A. Jamil
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811065019
Classification of bandwidth-heavy Internet traffic is important for network administrators to throttle network of heavy-bandwidth applications traffic. Statistical methods have been previously proposed as promising method to identify Internet traffic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c64007ee7bdc954544932a61e87cef8
https://doi.org/10.1007/978-981-10-6502-6_44
https://doi.org/10.1007/978-981-10-6502-6_44
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319017778
ISI
ISI
The selection of features plays an important role in traffic detection and mitigation. Feature selection methods can significantly improve the computational performance of traffic classification. However, most of the selected features cannot be used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::212da4ce51a6912fd71f9f85d61fba96
https://doi.org/10.1007/978-3-319-01778-5_39
https://doi.org/10.1007/978-3-319-01778-5_39
Publikováno v:
ICCSCE
Internet traffic classification gained significant attention in the last few years. Most of the current classification methods were only valid for offline classification. Each of the three common classification methods (port, payload, statistics) has
A security network management system is for providing clear guidelines on risk evaluation and assessment for enterprise networks. The threat and risk assessment is conducted to safeguard enterprise network services to maintain system confidentiality,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed31700b78ad67b78067fe9906d4b439
Autor:
Roozbeh Zarei, Nadir O. Fadlelssied, Haitham A. Jamil, M. Aliyu, Muhammad Nadzir Marsono, Sulaiman Mohd Nor
Publikováno v:
2013 International Conference of Information and Communication Technology (ICoICT).
Network traffic classification plays a vital role in various network activities. Network traffic data include a large number of relevant and redundant features, which increase the flow classifier computational complexity and affect the classification