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Browsing by Subject "Intrusion detection"

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Anomaly based intrusion detection for a biometric identification system using neural networks

Author: Mgabile, T ; Msiza, IS ; Dube, E Date: Oct 2012 This manuscript presents a supervised machine learning approach in the identification of network attacks on a fingerprint biometric system. To reduce the problem of malicious acts on a biometric system, this manuscript proposes an intrusion ... Read more
Ant colony induced decision trees for intrusion detection

Author: Botes, FH ; Leenen, Louise ; De La Harpe, R Date: Jun 2017 In the ashes of Moore’s Law, companies have to acclimatise to the vast increase of data flowing through their networks. Reports on information breaches and hackers claiming ransom for company data are rampant. We live in a world where data ... Read more
An approach to web defacement and intrusion monitoring with the Web Defacement and Intrusion Monitoring Tool: WDIMT

Author: Masango, Mfundo G ; Mouton, Francois ; Antony, Palesa ; Mangoale, Bokang C Date: Mar 2018 Websites have become a form of information distribution; usage of websites has seen a significant rise in the amount of information circulated on the Internet. Some businesses have created websites that display services the business renders ... Read more
Artificial intelligence-driven intrusion detection in software-defined wireless sensor networks: Towards secure IoT-enabled healthcare systems

Author: Umba, SMW ; Abu-Mahfouz, Adnan MI ; Ramotsoela, D Date: Apr 2022 Wireless Sensor Networks (WSNs) are increasingly deployed in Internet of Things (IoT) systems for applications such as smart transportation, telemedicine, smart health monitoring and fall detection systems for the elderly people. Given that ... Read more
Ensemble of classifiers based network intrusion detection system performance bound

Author: Mkuzangwe, Nenekazi NP ; Nelwamondo, Fulufhelo V Date: Nov 2017 This paper provides a performance bound of a network intrusion detection system (NIDS) that uses an ensemble of classifiers. Currently researchers rely on implementing the ensemble of classifiers based NIDS before they can determine the ... Read more
A fuzzy logic based network intrusion detection system for predicting the TCP SYN flooding attack

Author: Mkuzangwe, Nenekazi NP ; Nelwamondo, Fulufhelo V Date: Apr 2017 Fuzzy logic is one of the powerful tools for reasoning under uncertainty and since uncertainty is an intrinsic characteristic of intrusion analysis, Fuzzy logic is therefore an appropriate tool to use to analyze intrusions in a Network. This ... Read more
Integrated framework for enhancing SDN security and reliability

Author: Isong, B ; Ratanang, T ; Gasela, N ; Abu-Mahfouz, Adnan MI Date: Nov 2023 This paper addresses the issues of fault tolerance (FT) and intrusion detection (ID) in the Software-defined networking (SDN) environment. We design an integrated model that combines the FT-Manager as an FT mechanism and an ID-Manager, as an ... Read more
A machine learning approach to intrusion detection in water distribution systems – A review

Author: Mboweni, IV ; Abu-Mahfouz, Adnan MI ; Ramotsoela, DT Date: Oct 2021 The confidentiality, integrity and availability of critical infrastructure is crucial for any economy to operate efficiently. Water distribution critical infrastructure is a target of many attackers who aim to penetrate the system for malicious ... Read more
Quantifying the effect of incomplete information in denial of service detection

Author: Lorgat, MW ; Baghai-Wadji, A ; McDonald, Andre M Date: Oct 2017 The performance loss due to incomplete information in denial of service (DoS) detection is quantified in this paper. Volumetric DoS detection is formulated as a signal detection problem. Two detectors are defined: the first operates without ... Read more
A review of artificial intelligence based intrusion detection for Software-Defined Wireless Sensor Network

Author: Masengo Wa Umba, S ; Abu-Mahfouz, Adnan MI ; Ramotsoela, TD ; Hancke, GP Date: Jun 2019 Wireless communications and Wireless Sensor Networks (WSNs) are intensively used in manufacturing industries, in medical devices, for the determination of the position and for the guidance of military drones and bombs. Given the scope of ... Read more
A review of artificial intelligence based intrusion detection for Software-Defined Wireless Sensor Network

Author: Masengo, Wa Umba, S ; Abu-Mahfouz, Adnan MI ; Ramotsoela, TD ; Hancke, GP Date: Jun 2019 Wireless communications and Wireless Sensor Networks (WSNs) are intensively used in manufacturing industries, in medical devices, for the determination of the position and for the guidance of military drones and bombs. Given the scope of ... Read more
A review of research works on supervised learning algorithms for SCADA intrusion detection and classification

Author: Alimi, OA ; Ouahada, K ; Abu-Mahfouz, Adnan MI ; Rimer, S ; Alimi, KOA Date: Aug 2021 Supervisory Control and Data Acquisition (SCADA) systems play a significant role in providing remote access, monitoring and control of critical infrastructures (CIs) which includes electrical power systems, water distribution systems, nuclear ... Read more
Using the cumulative sum algorithm against distributed denial of service attacks in Internet of Things

Author: Machaka, Pheeha ; McDonald, Andre M ; Nelwamondo, Fulufhelo V ; Bagula, A Date: Nov 2015 The paper presents the threats that are present in Internet of Things (IoT) systems and how they can be used to perpetuate a large scale DDoS attack. The paper investigates how the Cumulative Sum (CUSUM) algorithm can be used to detect a DDoS ... Read more
Web Defacement and Intrusion Monitoring Tool: WDIMT

Author: Masango, Mfundo G ; Mouton, Francois ; Antony, Palesa ; Mangoale, Bokang C Date: Sep 2017 Websites have become a form of information distributors; usage of websites has seen a significant rise in the amount of information circulated on the Internet. Some businesses have created websites that display services the business renders ... Read more

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Browsing by Subject "Intrusion detection"

Browsing by Subject "Intrusion detection"

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