Zobrazeno 1 - 10 of 39 pro vyhledávání: '"Sydney Mambwe Kasongo"'
1
Akademický článek
A Deep Gated Recurrent Unit based model for wireless intrusion detection system
Autor: Sydney Mambwe Kasongo, Yanxia Sun
Publikováno v: ICT Express, Vol 7, Iss 1, Pp 81-87 (2021)
With the advances and growth of various wireless technologies, it is imperative to implement robust Intrusion Detection Systems (IDS). This paper proposes the implementation of Deep Gated Recurrent Unit (DGRU) Based classifier as well as a wrapper-ba
Externí odkaz: https://doaj.org/article/1717a8c5d36948e9ac5790f0c1478fdd
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2
Akademický článek
An Advanced Intrusion Detection System for IIoT Based on GA and Tree Based Algorithms
Autor: Sydney Mambwe Kasongo
Publikováno v: IEEE Access, Vol 9, Pp 113199-113212 (2021)
The evolution of the Internet and cloud-based technologies have empowered several organizations with the capacity to implement large-scale Internet of Things (IoT)-based ecosystems, such as Industrial IoT (IIoT). The IoT and, by virtue, the IIoT, are
Externí odkaz: https://doaj.org/article/ad0e2222e82644a088cbe2471ca7d9ca
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3
Akademický článek
A Deep Long Short-Term Memory based classifier for Wireless Intrusion Detection System
Autor: Sydney Mambwe Kasongo, Yanxia Sun
Publikováno v: ICT Express, Vol 6, Iss 2, Pp 98-103 (2020)
Wireless networks have evolved over the years and they have become some of the most prominent communication media. These networks generally transmit large volumes of information at any given time. This has engendered a number of security threats and
Externí odkaz: https://doaj.org/article/a1ea520753584cfe96445e13e612cf9b
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4
Akademický článek
An Interpretable Machine Learning Approach for Hepatitis B Diagnosis
Autor: George Obaido, Blessing Ogbuokiri, Theo G. Swart, Nimibofa Ayawei, Sydney Mambwe Kasongo, Kehinde Aruleba, Ibomoiye Domor Mienye, Idowu Aruleba, Williams Chukwu, Fadekemi Osaye, Oluwaseun F. Egbelowo, Simelane Simphiwe, Ebenezer Esenogho
Publikováno v: Applied Sciences, Vol 12, Iss 21, p 11127 (2022)
Hepatitis B is a potentially deadly liver infection caused by the hepatitis B virus. It is a serious public health problem globally. Substantial efforts have been made to apply machine learning in detecting the virus. However, the application of mode
Externí odkaz: https://doaj.org/article/7b9abae8064241768e6af3ed7aaf0a91
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5
Akademický článek
A Deep Learning Method With Filter Based Feature Engineering for Wireless Intrusion Detection System
Autor: Sydney Mambwe Kasongo, Yanxia Sun
Publikováno v: IEEE Access, Vol 7, Pp 38597-38607 (2019)
In recent years, the increased use of wireless networks for the transmission of large volumes of information has generated a myriad of security threats and privacy concerns; consequently, there has been the development of a number of preventive and p
Externí odkaz: https://doaj.org/article/8e222e68e32f4680ba8ed605709c0e47
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7
Akademický článek
UGRansome1819: A Novel Dataset for Anomaly Detection and Zero-Day Threats
Autor: Mike Nkongolo, Jacobus Philippus van Deventer, Sydney Mambwe Kasongo
Publikováno v: Information, Vol 12, Iss 10, p 405 (2021)
This research attempts to introduce the production methodology of an anomaly detection dataset using ten desirable requirements. Subsequently, the article presents the produced dataset named UGRansome, created with up-to-date and modern network traff
Externí odkaz: https://doaj.org/article/f2282855a178400fbe69b7a27909eca4
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