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

Computer Systems Science & Engineering 2023年第2期44卷 1109-1123页

作者： Ishani Mishra Sanjay Jain vivek maik Department of ECE New Horizon College of EngineeringBengaluru560103India CMR Institute of Technology Bengaluru560037India SRM University Chennai603203India

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 *** transmit-ting these collected data some adversaries may capture and misuse it due to the compromise of ***,the major aim of this work is to enhance secure trans-mission of ECG signal in *** attain this goal,we present Pity Beetle Swarm Optimization Algorithm(PBOA)based Elliptic Galois Cryptography(EGC)with Chaotic Neural *** optimize the key generation process in Elliptic Curve Cryptography(ECC)over Galoisﬁeld or EGC,private key is chosen optimally using PBOA *** the encryption process is enhanced by presenting chaotic neural network which is used to generate chaotic sequences or cipher *** 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

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Secure and Optimal LOADng Routing for IoT with Composite RoutingMetric

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Computers, Materials & Continua 2023年第1期74卷 655-669页

作者： Divya Sharma Sanjay Jain vivek maik Department of Electronics and Communication New Horizon College of EngineeringBengaluru560103India CMR Institute of Technology Bengaluru560037India Department of Electronics and Communication SRM Institute of Science and TechnologyKattankulathurChennai603203India

Security is the one of the major challenges for routing the data between the source and destination in an Internet of Things(IoT)*** overcome this challenge,a secure Lightweight On-demand Ad hoc Distancevector—Next Generation(LOADng)Routing Protocol is proposed in this *** the LOADng protocol is the second version of Ad Hoc On-Demand Distance Vector(AODV)protocol,it retains most of the basic functionality and characteristics of *** the route discovery process,the cyclic shift transposition algorithm(CSTA)is used to encrypt the control packets of the LOADng protocol to improve its *** approach only derives transposition and substitution without product cipher with respect to input *** this,for choosing the best probable path between the source and destination,routing metrics such as link quality Indicator(LQI),hop count(HC)and queue length(QL)are included in the control *** data is then securely sent using CSTA using the optimal secure path *** Results depict that the proposed secure and optimal LOADng(SO-LOADng)using CSTA encryption obtains better throughput,delivery ratio encryption time and decryption time than the existing state-ofart approaches.

关键词： IoT LOADng CSTA link quality indicator queue length

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Optimized Tuning of LOADng Routing Protocol Parameters for IoT

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Computer Systems Science & Engineering 2023年第8期46卷 1549-1561页

Interconnected devices and intelligent applications have slashed human intervention in the Internet of Things(IoT),making it possible to accomplish tasks with less human ***,it faces many problems,including lower capacity links,energy utilization,enhancement of resources and limited resources due to its openness,heterogeneity,limited resources and *** is challenging to route packets in such a constrained *** an IoT network constrained by limited resources,minimal routing control overhead is required without packet *** constrained environments can be improved through the optimal routing *** is challenging to route packets in such a constrained ***,this work is motivated to present an efficient routing protocol for enhancing the lifetime of the IoT *** On-demand Ad hoc Distance-vector Routing Protocol—Next Generation(LOADng)protocol is an extended version of the Ad Hoc On-Demand Distance Vector(AODV)*** AODV,LOADng is a lighter version that forbids the intermediate nodes on the route to send a route reply(RREP)for the route request(RREQ),which originated from the source.A resource-constrained IoT network demands minimal routing control overhead and faster packet ***,in this paper,the parameters of the LOADng routing protocol are optimized using the black widow optimization(BWO)algorithm to reduce the control overhead and ***,the performance of the proposed model is analyzed with the default LOADng in terms of delay,delivery ratio and *** results show that the LOADng-BWO protocol outperforms the conventional LOADng protocol.

关键词： Internet of things optimization algorithm routing protocol LOADng

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