Paper Info
Title
Secured ECG Signal Transmission Using Optimized EGC with Chaotic Neural Network in WBSN
Abstract
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 transmitting 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 transmission 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 Galois field 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 cryptography algorithm attains better encryption time, decryption time, throughput and SNR than the conventional cryptography algorithms.
Year
DOI
Venue
2023
10.32604/csse.2023.025999
COMPUTER SYSTEMS SCIENCE AND ENGINEERING
Keywords
DocType
Volume
Wireless body sensor network, ECG, pity beetle swarm optimization algorithm, elliptic galois cryptography and chaotic neural network
Journal
44
Issue
ISSN
Citations 
2
0267-6192
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Ishani Mishra100.34
Sanjay Jain200.34
Vivek Maik300.34