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Wireless Body Area Network (WBAN) aims to monitor patient's health remotely, by using mini medical sensors that are attached on the human body to collect important data via the wireless network. However, this type of communication is very vulnerable to various types of attacks, poses serious problems to the individual's life who wears the nodes. In this paper, we present a new classification of the most dangerous attacks based on different criteria, which gives us a clear vision of how attacksdoi:10.25046/aj050210 fatcat:lgzyqaauh5dqxnzt2yczqovugi