اراﺋﻪ ﯾﮏ روش ﺟﺪﯾﺪ ﺑﺮاي ﺗﺸﺨﯿﺺ ﺣﻤﻠﻪ ﺳﯿﺎﻫﭽﺎﻟﻪ در ﺷﺒﮑﻪﻫﺎي ﺳﻼﻣﺖ اﯾﻨﺘﺮﻧﺖ اﺷﯿﺎء

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

اﯾﻨﺘﺮﻧﺖ اﺷﯿ ﺎ ﮐﺎرﺑﺮد زﯾﺎدي دراﻣﻮر روزﻣﺮه ﭘﯿﺪا ﮐﺮده اﺳﺖ رده اي از ﮐﺎرﺑﺮد ﻫﺎي اﯾﻨﺘﺮﻧﺖ اﺷﯿ ﺎ در ﻣﺼﺎرف ﺻﻨﻌﺘﯽ را اﯾﻨﺘﺮﻧﺖ اﺷﯿﺎ ﺻﻨﻌﺘﯽ ﻣﯽﻧﺎﻣﻨﺪ اﯾﻨﺘﺮﻧﺖ اﺷﯿﺎ ﺻﻨﻌﺘﯽ ﭼﺸﻢ اﻧﺪاز روﺷﻨﯽ در آﯾﻨﺪه دارد و ﯾﮑﯽ از ﻣﻬﻢ ﺗﺮﯾﻦ ﺷﺎﺧﻪ ﻫﺎي اﯾﻨﺘﺮﻧﺖ اﺷﯿ ﺎ ﺻﻨﻌﺘﯽ ﺑﺨﺶ ﺳﻼﻣﺖ ﻣﯽﺑﺎﺷﺪ . در اﯾﻦ ﺷﺒﮑﻪ اﻃﻼﻋﺎت ﺑﯿﻤﺎران ﺑﻪ ﺻﻮرت ﻣﺮﺗﺐ ﺑﻪ ﻣﺮاﮐﺰ ﮐﻨﺘﺮل ارﺳﺎل ﻣﯽ ﺷﻮد ﺗﺎ ﺳﻼﻣﺖ ﺑﯿﻤﺎر دﭼﺎر ﺧﻄﺮ ﻧ ﺸﻮد . اﯾﻦ ﺷﺒﮑﻪ ﻫﻤﭽﻮن ﺗﻤﺎم ﺷﺒﮑﻪ ﻫﺎ ﻧﯿﺎز ﺑﻪ ﺑﺨﺶ اﻣﻨﯿﺘﯽ دارد ﺗﺎ در ﻣﻘﺎﺑﻞ ﺣﻤﻼت ﻣﺨﺘﻠﻒ اﯾﻤﻦ ﺑﺎ ﺷﺪ . ﯾﮑﯽ از ﺣﻤﻼﺗﯽ ﮐﻪ اﯾﻦ ﺷﺒﮑﻪ را دﭼﺎر ﻣﺨﺘﻞ ﻣﯽﮐﻨﺪ، ﺣﻤﻠﻪ ﺳﯿﺎﻫﭽﺎﻟﻪ ا ﺳﺖ . ﻣﺎ دراﯾﻦ ﻣﻘﺎﻟﻪ ﯾﮏ روش ﻓﺎزي ﺑﺮاي ﮐﻨﺘﺮل ﺣﻤﻠﻪ ﺳـــﯿﺎﻫﭽﺎﻟﻪ اراﺋﻪ ﮐﺮده اﯾﻢ و ﻧﺘﺎﯾﺞ ﺷـــﺒﯿﻪ ﺳـــﺎزي ﻧﺸـــﺎن ﻣﯽدﻫﺪ روش ﭘﯿﺸﻨﻬﺎدي ﻋﻤﻠﮑﺮد ﺧﻮﺑﯽ دارد.

IoT is used extensively in every day 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 the industrial IoT is health sector. In this network, patients' information is regularly sent to the control centers, so that the patients' health is not compromised. Like all networks, this network needs a security section to be secured 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.