A Novel Approach of Securing Medical Cyber Physical Systems (MCPS) from DDoS Attacks

Brij B. Gupta, Kwok Tai Chui, Varsha Arya, Akshat Gaurav

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The term “Cyber-Physical Systems” (CPS) often refers to systems that are both designed and physical, as well as biological. In regard to a CPS, the evolution of physical quantities and distinct software and hardware states are usually distinguishing it over time. Continuous state variables for the physical components interspersed with discrete events may be used to represent them in general. CPS is employed in a variety of industries, including healthcare, because of its efficiency. An MCPS is a medically critical integration of a medical cyber-physical system. Continuous, high-quality treatment is made possible via the employment of these systems. Challenges include interoperability, security/privacy, and high system software assurance in the MCPS architecture. It’s still early days for MCPS, thus, adequate standards and procedures must be established for their security. Also, due to their low processing capability, they are susceptible to a wide variety of cyberattacks. As a result, MCPS devices need defined protocols and paradigms to maintain their security. In this context, this paper aims to propose DDoS attack detection for the MCPS system. We used statistical approaches to identify and mitigate DDoS attack traffic in the MCPS system.

Original languageEnglish
Title of host publicationBig Data Intelligence and Computing - International Conference, DataCom 2022, Proceedings
EditorsChing-Hsien Hsu, Mengwei Xu, Hung Cao, Hojjat Baghban, A. B. Shawkat Ali
Pages155-165
Number of pages11
DOIs
Publication statusPublished - 2023
EventInternational Conference on Big Data Intelligence and Computing, DataCom 2022 - Denarau, Fiji
Duration: 8 Dec 202210 Dec 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13864 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Big Data Intelligence and Computing, DataCom 2022
Country/TerritoryFiji
CityDenarau
Period8/12/2210/12/22

Keywords

  • DDoS
  • Entropy
  • Fog computing
  • IoT
  • Medica cyber physical systems

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