Secured ECG Signal Transmission Using Optimized EGC with Chaotic Neural Network in WBSN  

作　　者：Ishani Mishra Sanjay Jain Vivek Maik 

机构地区：[1]Department of ECE,New Horizon College of Engineering,Bengaluru,560103,India [2]CMR Institute of Technology,Bengaluru,560037,India [3]SRM University,Chennai,603203,India

出　　处：《Computer Systems Science & Engineering》2023年第2期1109-1123,共15页计算机系统科学与工程（英文）

摘　　要：In wireless body sensor network(WBSN),the set of electrocardiogram(ECG)data which is collected from sensor nodes and transmitted to the server remotely supports the experts to monitor the health of a patient.While transmit-ting these collected data some adversaries may capture and misuse it due to the compromise of security.So,the major aim of this work is to enhance secure trans-mission of ECG signal in WBSN.To attain this goal,we present Pity Beetle Swarm Optimization Algorithm(PBOA)based Elliptic Galois Cryptography(EGC)with Chaotic Neural Network.To optimize the key generation process in Elliptic Curve Cryptography(ECC)over Galoisfield or EGC,private key is chosen optimally using PBOA algorithm.Then the encryption process is enhanced by presenting chaotic neural network which is used to generate chaotic sequences or cipher data.Results of this work show that the proposed cryptogra-phy algorithm attains better encryption time,decryption time,throughput and SNR than the conventional cryptography algorithms.

关 键 词：Wireless body sensor network ECG pity beetle swarm optimization algorithm elliptic galois cryptography and chaotic neural network 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]