Scenario-based Manufacturing Data Analytics with the Example of Order Tracing through BLE-Beacons

Groggert, Sebastian; Elser, Hannes; Ngo, Quoc Hao; Schmitt, Robert

doi:10.1016/j.promfg.2018.06.032

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…In 2000, SPSS, NCR, and Daimler Chrysler companies introduced this framework [15]. Companies are be able to reach their objectives using this framework [16]. One objective is attaining high-level security against DDoS attacks.…”

Section: Methodsmentioning

confidence: 99%

Addressing the Effectiveness of DDoS-Attack Detection Methods Based on the Clustering Method Using an Ensemble Method

Zeinalpour

Ahmed

2022

Electronics

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The curse of dimensionality, due to lots of network-traffic attributes, has a negative impact on machine learning algorithms in detecting distributed denial of service (DDoS) attacks. This study investigated whether adding the filter and wrapper methods, preceded by combined clustering algorithms using the Vote classifier method, was effective in lowering the false-positive rates of DDoS-attack detection methods. We examined this process to address the curse of dimensionality of machine learning algorithms in detecting DDoS attacks. The results of this study, using ANOVA statistical analyses, showed that incorporating the wrapper method had superior performance in comparison with the filter and clustering methods. IT professionals aim at incorporating effective DDoS-attack detection methods to detect attacks. Therefore, the contribution of this study is that incorporating the wrapper method is the most suitable option for organizations to detect attacks as illustrated in this study. Subsequently, IT professionals could incorporate the DDoS-attack detection methods that, in this study, produced the lowest false-positive rate (0.012) in comparison with all the other mentioned studies.

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Section: Methodsmentioning

confidence: 99%

Addressing the Effectiveness of DDoS-Attack Detection Methods Based on the Clustering Method Using an Ensemble Method

Zeinalpour

Ahmed

2022

Electronics

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A Systematic Literature Review on Applying CRISP-DM Process Model

Schröer

Kruse

Gómez

2021

Procedia Computer Science

263

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Digitalisierung des Fehlermanagements

Günther

Schmitt

2020

Zeitschrift Für Wirtschaftlichen Fabrikbetrieb

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Kurzfassung Die systematische Nutzung des historischen Fehlerwissens bietet das Potenzial einer beschleunigten sowie nachhaltigen Abstellung von Produkt- und Prozessfehlern. Gerade für kleine Unternehmen sind die Digitalisierung sowie die Einführung moderner Analyseansätze aufgrund hoher Implementierungskosten und Anforderungen an die Infrastruktur eine große Herausforderung. Im Rahmen des IGF Verbundprojektes „LeaF – Learning Failure Management“ (AiF-Nr.: 19931N) wird die systematische Erfassung und Verarbeitung von relevanten Informationen zu Produkt- und Prozessfehlern erarbeitet.

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Scenario-based Manufacturing Data Analytics with the Example of Order Tracing through BLE-Beacons

Cited by 3 publications

References 11 publications

Addressing the Effectiveness of DDoS-Attack Detection Methods Based on the Clustering Method Using an Ensemble Method

Addressing the Effectiveness of DDoS-Attack Detection Methods Based on the Clustering Method Using an Ensemble Method

A Systematic Literature Review on Applying CRISP-DM Process Model

Digitalisierung des Fehlermanagements

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