Critical and Comparative Analysis of DoS and Version Number Attack in Healthcare IoT System

Autor: Ambarkar, Smita Sanjay, Shekokar, Narendra
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Proceeding of First Doctoral Symposium on Natural Computing Research
Popis: Recently the entire world is witnessing the pandemic outbreak of COVID 19, which creates havoc in the healthcare industry. Error tolerance may lead to death threats for the patient in the healthcare system. However, practically the healthcare industry faces many manual error incidences, inadequate staffing, aging population, etc. These challenges will increase the stress level and disturbs the psychological as well as physical health of the healthcare practitioner. Internet of things (IoT) technique is adept to tackle such outbreaks by providing complete digitization of healthcare systems. However, IoT application deployment comes with many security threats and attacks challenges. Here it is worth mentioning that to implement a robust security solution, the comprehensive analysis of attack must carry out. This paper contributes by analyzing two preeminent attacks, the Denial of service (DoS) and version Number attack on the healthcare system. DoS rapidly destroy the network whereas version number haltingly takes control of the network. The paper further critically analyzes the performance and severity of these two attacks based on discrete parameters like routing metric, power consumption, number of packets received, number of expected transmissions, beacon interval, and proposes the robust solution.
Databáze: OpenAIRE