Detection of distributed denial of service attacks for IoT-based healthcare systems

• Autorzy: Kaur Gaganjot , Gupta Prinima

Identyfikatory

DOI

10.24423/cames.450

• Języki publikacji: EN

Abstrakty

EN

One of the major common assaults in the current Internet of things (IoT) network-based healthcare infrastructures is distributed denial of service (DDoS). The most challenging task in the current environment is to manage the creation of vast multimedia data from the IoT devices, which is difficult to be handled solely through the cloud. As the software defined networking (SDN) is still in its early stages, sampling-oriented measurement techniques used today in the IoT network produce low accuracy, increased memory usage, low attack detection, higher processing and network overheads. The aim of this research is to improve attack detection accuracy by using the DPTCM-KNN approach. The DPTCMKNN technique outperforms support vector machine (SVM), yet it still has to be improved. For healthcare systems, this work develops a unique approach for detecting DDoS assaults on SDN using DPTCM-KNN.

Słowa kluczowe

EN

software defined networking; k-nearest neighbors; distributed denial of service; DPTCM-KNN approach; SVM

PL

sieci definiowane programowo; k-najbliższy sąsiad; rozproszona odmowa usługi; SVM

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Methods in Engineering and Science
• Rocznik: 2023
• Tom: Vol. 30, no. 2
• Strony: 167--186
• Opis fizyczny: Bibliogr. 29 poz., rys., tab., wykr.

Twórcy

autor

Kaur Gaganjot

• Department of Computer Science and Technology, Manav Rachna University, Faridabad, India

autor

Gupta Prinima

• Department of Computer Science and Technology, Manav Rachna University, Faridabad, India

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).