Abstract: [SUMMARY] A method of detecting a sequence-based intrusion by using a Database CAN (DBC) file, the method being performed by a computing device including a processor according to some exemplary embodiments of the present disclosure, includes: obtaining a first Controller Area Network (CAN) message generated from a CAN; determining the first CAN message as a first category among a plurality of categories based on a pre-stored DBC file; obtaining first predictive data from the first CAN message by using a pre-trained first neural network model, the pre-trained first neural network model corresponding to the first category and including a first hidden layer; and comparing the first predictive data and first actual data obtained based on the first CAN message to determine whether the first CAN message has an anomaly.

Abstract: The multi-layer strip for use in measuring biological material and the system for measuring a biological material are provided, wherein the multi-layer strip includes a stack of a plurality of strips, each having a flow channel and a reaction unit, and the strips may react with specific materials contained in a biological material injected into the multi-layer strip. Thus, it is possible to quantitatively analyze various materials contained in a biological material and to optically and electrochemically measure and quantitatively analyze various materials in a biological material.

Abstract: The multi-layer strip for use in measuring biological material and the system for measuring a biological material are provided, wherein the multi-layer strip includes a stack of a plurality of strips, each having a flow channel and a reaction unit, and the strips may react with specific materials contained in a biological material injected into the multi-layer strip, whereby Thus, it is possible to quantitatively analyze various materials contained in a biological material and to optically and electrochemically measure and quantitatively analyze various materials in a biological material.