Presenting a New Method for Detecting Black Hole Attack on Internet of Things (IOT) Health Networks

عنوان به زبان ديگر

پديدآورندگان

Zaheri Abdehvand Ebrahim server_kia@yahoo.com Department of computer engineering, Ashtian branch, Islamic Azad University, Ashtian, Iran , Kazemi –Manoochehr Department of computer engineering, Ashtian branch, Islamic Azad University, Ashtian, Iran , Zarafshan Faraneh Department of computer engineering, Ashtian branch, Islamic Azad University, Ashtian, Iran

تعداد صفحه

12

كليدواژه

Black hole attack , IOT Network , Health Network , Fuzzy logic.

سال انتشار

1397

عنوان كنفرانس

اولين كنفرانس بين المللي محاسبات و سامانه هاي توزيع شده

زبان مدرك

انگليسي

چكيده فارسي

IOT is used very extensively in everyday affairs. A category of IOT in industrial uses is called Industrial IOT. Industrial IOT has a bright outlook for the future. One of the most important branches of Industrial IOT is health sector. In this network, patients information is regularly sent to the control centers, so that the patient s health is not compromised. Like all networks, this network needs a security section to be secure against various attacks. One of the attacks disrupting this network is the black hole attack. The paper presented a fuzzy method for controlling the black hole attack, with the simulation results showing the good performance of the proposed method.

چكيده لاتين

IOT is used very extensively in everyday affairs. A category of IOT in industrial uses is called Industrial IOT. Industrial IOT has a bright outlook for the future. One of the most important branches of Industrial IOT is health sector. In this network, patients information is regularly sent to the control centers, so that the patient s health is not compromised. Like all networks, this network needs a security section to be secure against various attacks. One of the attacks disrupting this network is the black hole attack. The paper presented a fuzzy method for controlling the black hole

كشور

ايران