Detailed Case Studies
Book chapter, 2023

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.

Author

Tareq Abuimara

United Arab Emirates University

Attila Kopányi

Advanced Building and Urban Design Ltd

Jean Rouleau

Universite Laval

Ye Kang

Monash University

Andrew Sonta

Swiss Federal Institute of Technology in Lausanne (EPFL)

Ghadeer Derbas

Bergische Universität Wuppertal

Quan Jin

Chalmers, Architecture and Civil Engineering, Building Technology

William O'brien

Carleton University

Burak Gunay

Carleton University

Juan Sebastián Carrizo

DIALOG

Viktor Bukovszki

Advanced Building and Urban Design Ltd

András Reith

Advanced Building and Urban Design Ltd

Louis Gosselin

Universite Laval

Jenny Zhou

Monash University

Thomas Dougherty

Stanford University

Rishee Jain

Stanford University

Karsten Voss

Bergische Universität Wuppertal

Tugcin Kirant Mitic

Bergische Universität Wuppertal

Holger Wallbaum

Chalmers, Architecture and Civil Engineering, Building Technology

Occupant-Centric Simulation-Aided Building Design

257-367
9781000865752 (ISBN)

Subject Categories

Media and Communication Technology

Business Administration

Computer Science

Computer Systems

DOI

10.1201/9781003176985-11

More information

Latest update

7/6/2023 9