Crypto Hash Based Malware Detection in IoMT Framework

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F22%3A50019406" target="_blank" >RIV/62690094:18470/22:50019406 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.techscience.com/iasc/v34n1/47355" target="_blank" >https://www.techscience.com/iasc/v34n1/47355</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.32604/iasc.2022.024715" target="_blank" >10.32604/iasc.2022.024715</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Crypto Hash Based Malware Detection in IoMT Framework

Popis výsledku v původním jazyce

The challenges in providing e-health services with the help of Internet of Medical Things (IoMT) is done by connecting to the smart medical devices. Through IoMT sensor devices/smart devices, physicians share the sensitive infor-mation of the patient. However, protecting the patient health care details from malware attack is necessary in this advanced digital scenario. Therefore, it is needed to implement cryptographic algorithm to enhance security, safety, reliabil-ity, preventing details from malware attacks and privacy of medical data. Nowa-days blockchain has become a prominent technology for storing medical data securely and transmit through IoMT concept. The issues in the existing research works are in terms of insecurity, non-reliability, remote hijacking, hacking of password and Denial of Service (DoS) attacks. In order to overcome these issues, this work is focused on the double layer encryption model using PoW consensus with Crypto Hash algorithm (PoW-CHA). This proposed work concentrates on secured storage of medical data via IoMT transmission. It ensures transparency, decentralization, security, immutability and preserving privacy, and precisely detecting the malware attack. The accuracy of PoW-CHA is 98% compared to PoW and Crypto Hash algorithm. Moreover, it takes minimum computation time for PoW-CHA.

Název v anglickém jazyce

Crypto Hash Based Malware Detection in IoMT Framework

Popis výsledku anglicky

The challenges in providing e-health services with the help of Internet of Medical Things (IoMT) is done by connecting to the smart medical devices. Through IoMT sensor devices/smart devices, physicians share the sensitive infor-mation of the patient. However, protecting the patient health care details from malware attack is necessary in this advanced digital scenario. Therefore, it is needed to implement cryptographic algorithm to enhance security, safety, reliabil-ity, preventing details from malware attacks and privacy of medical data. Nowa-days blockchain has become a prominent technology for storing medical data securely and transmit through IoMT concept. The issues in the existing research works are in terms of insecurity, non-reliability, remote hijacking, hacking of password and Denial of Service (DoS) attacks. In order to overcome these issues, this work is focused on the double layer encryption model using PoW consensus with Crypto Hash algorithm (PoW-CHA). This proposed work concentrates on secured storage of medical data via IoMT transmission. It ensures transparency, decentralization, security, immutability and preserving privacy, and precisely detecting the malware attack. The accuracy of PoW-CHA is 98% compared to PoW and Crypto Hash algorithm. Moreover, it takes minimum computation time for PoW-CHA.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Intelligent Automation &amp; Soft Computing: An International Journal

ISSN

1079-8587

e-ISSN

2326-005X

Svazek periodika

34

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

16

Strana od-do

559-574

Kód UT WoS článku

000789104300008

EID výsledku v databázi Scopus

—