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Sökning: WFRF:(Derbas Ghadeer) > Detailed Case Studies

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004434naa a2200577 4500
001oai:research.chalmers.se:a21bb287-d758-4096-bad8-8d3879719f71
003SwePub
008230706s2023 | |||||||||||000 ||eng|
0247 a https://research.chalmers.se/publication/5364572 URI
0247 a https://doi.org/10.1201/9781003176985-112 DOI
040 a (SwePub)cth
041 a engb eng
042 9 SwePub
072 7a kap2 swepub-publicationtype
072 7a vet2 swepub-contenttype
1001 a Abuimara, Tareq4 aut
2451 0a Detailed Case Studies
264 1c 2023
338 a electronic2 rdacarrier
520 a Wireless body area networks (WBANs) are one of the key technologies that support the development of pervasive health monitoring (remote patient monitoring systems), which has attracted more attention in recent years. These WBAN applications requires stringent security requirements as they are concerned with human lives. In the recent scenario of the corona pandemic, where most of the healthcare providers are giving online services for treatment, DDoS attacks become the major threats over the internet. This chapter particularly focusses on detection of DDoS attack using machine learning algorithms over the healthcare environment. In the process of attack detection, the dataset is preprocessed. After preprocessing the dataset, the cleaned dataset is given to the popular classification algorithms in the area of machine learning namely, AdaBoost, J48, k-NN, JRip, Random Committee and Random Forest classifiers. Those algorithms are evaluated independently and the results are recorded. Results concluded that J48 outperform with accuracy of 99.98% with CICIDS dataset and random forest outperform with accuracy of 99.917, but it takes the longest model building time. Depending on the evaluation performance the appropriate classifier is selected for further DDoS detection at real-time.
650 7a NATURVETENSKAPx Data- och informationsvetenskapx Medieteknik0 (SwePub)102092 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciencesx Media and Communication Technology0 (SwePub)102092 hsv//eng
650 7a SAMHÄLLSVETENSKAPx Ekonomi och näringslivx Företagsekonomi0 (SwePub)502022 hsv//swe
650 7a SOCIAL SCIENCESx Economics and Businessx Business Administration0 (SwePub)502022 hsv//eng
650 7a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng
650 7a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Datorsystem0 (SwePub)202062 hsv//swe
650 7a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Computer Systems0 (SwePub)202062 hsv//eng
7001 a Kopányi, Attila4 aut
7001 a Rouleau, Jeanu Universite Laval4 aut
7001 a Kang, Yeu Monash University4 aut
7001 a Sonta, Andrewu Ecole Polytechnique Federale de Lausanne (EPFL),Swiss Federal Institute of Technology in Lausanne (EPFL)4 aut
7001 a Derbas, Ghadeeru Bergische Universität Wuppertal4 aut
7001 a Jin, Quan,d 1983u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)quanj
7001 a O'brien, Williamu Carleton University4 aut
7001 a Gunay, Buraku Carleton University4 aut
7001 a Carrizo, Juan Sebastián4 aut
7001 a Bukovszki, Viktor4 aut
7001 a Reith, András4 aut
7001 a Gosselin, Louisu Universite Laval4 aut
7001 a Zhou, Jennyu Monash University4 aut
7001 a Dougherty, Thomasu Stanford University4 aut
7001 a Jain, Risheeu Stanford University4 aut
7001 a Voss, Karstenu Bergische Universität Wuppertal4 aut
7001 a Mitic, Tugcin Kirantu Bergische Universität Wuppertal4 aut
7001 a Wallbaum, Holger,d 1967u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)wallbaum
7102 a Universite Lavalb Monash University4 org
7730 t Occupant-Centric Simulation-Aided Building Designg , s. 257-367q <257-367z 9781000865752
8564 u https://research.chalmers.se/publication/536457/file/536457_Fulltext.pdfx primaryx freey FULLTEXT
8564 8u https://research.chalmers.se/publication/536457
8564 8u https://doi.org/10.1201/9781003176985-11

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