Threshold-Based Software-Defined Networking(SDN)Solution for Healthcare Systems against Intrusion Attacks
作者机构：Department of Computer EngineeringCollege of Computer ScienceKing Saud UniversityRiyadh11451Saudi Arabia
出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)
年 卷 期：2024年第138卷第2期
页 面：1469-1483页
核心收录：
学科分类：0839[工学-网络空间安全] 08[工学]
基 金：extend their appreciation to Researcher Supporting Project Number(RSPD2023R582) King Saud University,Riyadh,Saudi Arabia
主 题：Network resilience network management attack prediction software defined networking(SDN) distributed denial of service(DDoS) healthcare
摘 要：The healthcare sector holds valuable and sensitive *** amount of this data and the need to handle,exchange,and protect it,has been increasing at a fast *** to their nature,software-defined networks(SDNs)are widely used in healthcare systems,as they ensure effective resource utilization,safety,great network management,and *** this sector,due to the value of thedata,SDNs faceamajor challengeposed byawide range of attacks,such as distributed denial of service(DDoS)and probe *** attacks reduce network performance,causing the degradation of different key performance indicators(KPIs)or,in the worst cases,a network failure which can threaten human *** can be significant,especially with the current expansion of portable healthcare that supports mobile and wireless devices for what is called mobile health,or *** this study,we examine the effectiveness of using SDNs for defense against DDoS,as well as their effects on different network KPIs under various *** propose a threshold-based DDoS classifier(TBDC)technique to classify DDoS attacks in healthcare SDNs,aiming to block traffic considered a hazard in the form of a DDoS *** then evaluate the accuracy and performance of the proposed TBDC *** technique shows outstanding performance,increasing the mean throughput by 190.3%,reducing the mean delay by 95%,and reducing packet loss by 99.7%relative to normal,with DDoS attack traffic.
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