Title:
Presenting a New Method for Detecting Black Hole Attack on Internet of Things (IOT) Health Networks
Ebrahim Zaheri Abdehvand Manoochehr Kazemi Faraneh Zarafshan
Department of computer engineering, Ashtian branch, Islamic Azad University, Ashtian, Iran Department of computer engineering, Ashtian branch, Islamic Azad University, Ashtian, Iran Department of computer engineering, Ashtian branch, Islamic Azad University, Ashtian, Iran
Abstract:
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.
Keyword:
Black hole attack, IOT Network, Health Network, Fuzzy logic.