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Load Balancing Algorithm for Migrating Switches in Software-Dened Vehicular Networks

Computers, Materials & Continua 2021年第4期67卷 1301-1316页

作者： Himanshi Babbar Shalli Rani Mehedi Masud Sahil Verma divya anand Nz Jhanjhi Chitkara University Institute of Engineering and Technology Rajpura140401India Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science and Engineering Chandigarh UniversityMohaliPunjab140413India Department of Computer Science and Engineering Lovely Professional UniversityPhagwara144001India Taylor’s University Selangor Darul EhsanMalaysia

In Software-Dened Networks(SDN),the divergence of the control interface from the data plane provides a unique platform to develop a programmable and exible network.A single controller,due to heavy load trafc triggered by different intelligent devices can not handle due to it’s restricted *** manage this,it is necessary to implement multiple controllers on the control plane to achieve quality network performance and *** ow of data through the multiple controllers also varies,resulting in an unequal distribution of load between different *** major drawback of the multiple controllers is their constant conguration of the mapping of the switch-controller,quickly allowing unequal distribution of load between *** overcome this drawback,Software-Dened Vehicular Networking(SDVN)has evolved as a congurable and scalable network,that has quickly achieved attraction in wireless communications from research groups,businesses,and industries *** this paper,we have proposed a load balancing algorithm based on latency for multiple SDN *** acknowledges the evolving characteristics of real-time latency *** *** choosing the required latency and resolving multiple overloads simultaneously,our proposed algorithm solves the loadbalancing problems with multiple overloaded controllers in the SDN control *** addition to the migration,our algorithm has improved 25%latency as compared to the existing algorithms.

关键词： Software-dened networking load balancing multiple controllers ryu controller mininet

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A Secure Three-Party Authenticated Key Exchange Protocol for Social Networks

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Computers, Materials & Continua 2022年第6期71卷 6293-6305页

作者： Vivek Kumar Sinha divya anand Fahd S.Alharithi Ahmed H.Almulihi Department of Computer Science and Engineering Lovely Professional UniversityPhagwaraPunjab144411India Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

The 3PAKE(Three-Party Authenticated Key Exchange)protocol is a valuable cryptographic method that offers safe communication and permits two diverse parties to consent to a new safe meeting code using the trusted *** have been explored numerous 3PAKE protocols earlier to create a protected meeting code between users employing the trusted ***,existing modified 3PAKE protocols have numerous drawbacks and are incapable to provide desired secrecy against diverse attacks such as manin-the-middle,brute-force attacks,and many others in social *** this article,the authors proposed an improved as well as safe 3PAKE protocol based on the hash function and the symmetric encryption for the social *** authors utilized a well-acknowledged AVISPA tool to provide security verification of the proposed 3PAKE technique,and findings show that our proposed protocol is safer in opposition to active as well as passive attacks namely the brute-force,man-in-the-middle,parallel attack,and many ***,compared to other similar schemes,the proposed protocol is built with a reduced computing cost as our proposed protocol consumes less time in execution and offers high secrecy in the social networks with improved *** a result,this verified scheme is more efficient as well as feasible for implementation in the social networks in comparison to previous security *** multifarious authors carried out extensive research on 3PAKE protocols to offer safe communication,still there are vital opportunities to explore and implement novel improved protocols for higher safety in the social networks and mobile commerce environment in the future in opposition to diverse active as well as passive attacks.

关键词： AVISPA tool 3PAKE protocol hash function symmetric encryption social networks

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Energy Efficient Unequal Fault Tolerance Clustering Approach

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Computer Systems Science & Engineering 2023年第5期45卷 1971-1983页

作者： Sowjanya Ramisetty divya anand Kavita Sahil Verma NZ Jhanjhi Mehedi Masud Mohammed Baz Department of Computer Science and Engineering KG Reddy College of Engineering and TechnologyHyderabadIndia School of Computer Science and Engineering Lovely Professional UniversityPhagwaraIndia Department of Computer Science and Engineering Chandigarh UniversityMohaliIndia Department of Computer Science and Engineering Tailor’s UniversityMalaysia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Engineering College of Computer and Information TechnologyTaif UniversityTaif21994Saudi Arabia

For achieving Energy-Efficiency in wireless sensor networks(WSNs),different schemes have been proposed which focuses only on reducing the energy consumption.A shortest path determines for the Base Station(BS),but fault tolerance and energy balancing gives equal importance for improving the network *** saving energy in WSNs,clustering is considered as one of the effective methods for Wireless Sensor *** of the excessive overload,more energy consumed by cluster heads(CHs)in a cluster based WSN to receive and aggregate the information from member sensor nodes and it leads to *** increasing the WSNs’lifetime,the CHs selection has played a key role in energy consumption for sensor *** Energy Efficient Unequal Fault Tolerant Clustering Approach(EEUFTC)is proposed for reducing the energy utilization through the intelligent methods like Particle Swarm Optimization(PSO).In this approach,an optimal Master Cluster Head(MCH)-Master data Aggregator(MDA),selection method is proposed which uses the fitness values and they evaluate based on the PSO for two optimal nodes in each cluster to act as Master Data Aggregator(MDA),and Master Cluster *** data from the cluster members collected by the chosen MCH exclusively and the MDA is used for collected data reception from MCH transmits to the ***,the MCH overhead *** the heavy communication of data,overhead controls using the scheduling of Energy-Efficient Time Division Multiple Access(EE-TDMA).To describe the proposed method superiority based on various performance metrics,simulation and results are compared to the existing methods.

关键词： Energy-efficiency unequal fault tolerant clustering approach particle swarm optimization master data aggregator energy efficient time division multiple access optimal nodes

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A Hybrid Model for Improving Software Cost Estimation in Global Software Development

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Computers, Materials & Continua 2024年第1期78卷 1399-1422页

作者： Mehmood Ahmed Noraini B.Ibrahim Wasif Nisar Adeel Ahmed Muhammad Junaid Emmanuel Soriano Flores divya anand Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit RajaBatu Pahat86400Malaysia Department of Computer Science COMSATS University Wah Cantt CampusIslamabad47010Pakistan Department of Information Technology The University of HaripurKhyber Pakhtunkhwa22620Pakistan Engineering Research Innovation Group Universidad Europea del AtlanticoSantander39011Spain

Accurate software cost estimation in Global Software Development(GSD)remains challenging due to reliance on historical data and expert *** models,such as the Constructive Cost Model(COCOMO II),rely heavily on historical and accurate *** addition,expert judgment is required to set many input parameters,which can introduce subjectivity and variability in the estimation ***,there is a need to improve the current GSD models to mitigate reliance on historical data,subjectivity in expert judgment,inadequate consideration of GSD-based cost drivers and limited integration of modern technologies with cost *** study introduces a novel hybrid model that synergizes the COCOMO II with Artificial Neural Networks(ANN)to address these *** proposed hybrid model integrates additional GSD-based cost drivers identified through a systematic literature review and further vetted by industry *** article compares the effectiveness of the proposedmodelwith state-of-the-artmachine learning-basedmodels for software cost *** the NASA 93 dataset by adopting twenty-six GSD-based cost drivers reveals that our hybrid model achieves superior accuracy,outperforming existing *** findings indicate the potential of combining COCOMO II,ANN,and additional GSD-based cost drivers to transform cost estimation in GSD.

关键词： Artificial neural networks COCOMO II cost drivers global software development linear regression software cost estimation

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A Secure and Efficient Signature Scheme for IoT in Healthcare

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Computers, Materials & Continua 2022年第12期73卷 6151-6168页

作者： Latika Kakkar Deepali Gupta Sarvesh Tanwar Sapna Saxena Khalid Alsubhi divya anand Irene Delgado Noya Nitin Goyal Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjab140401India AIIT Amity UniversityNoida201313India Chitkara School of Engineering&Technology Chitkara UniversityHP174103India Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah37848Saudi Arabia Lovely Professional University JalandharPunjab144411India Universidad Europea Del Atlántico C/Isabel Torres 2139011SantanderSpain Universidad Internacional Iberoamericana CampecheC.P.24560Mexico

To provide faster access to the treatment of patients,healthcare system can be integrated with Internet of Things to provide prior and timely health services to the *** is a huge limitation in the sensing layer as the IoT devices here have low computational power,limited storage and less battery ***,this huge amount of data needs to be stored on the *** information and the data sensed by these devices is made accessible on the internet from where medical staff,doctors,relatives and family members can access this *** helps in improving the treatment as well as getting faster medical assistance,tracking of routine activities and health focus of elderly people on frequent ***,the data transmission from IoT devices to the cloud faces many security challenges and is vulnerable to different security and privacy threats during the transmission *** purpose of this research is to design a Certificateless Secured Signature Scheme that will provide a magnificent amount of security during the transmission of *** signature,that removes the intricate certificate management and key escrow problem,is one of the practical methods to provide data integrity and identity authentication for the *** result shows that the proposed scheme performs better than the existing certificateless signature schemes in terms of computational cost,encryption and decryption *** scheme is the best combination of high security and cost efficiency and is further suitable for the resource constrained IoT environment.

关键词： CSSS digital signature ECC IoT security signcryption smart healthcare system

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Stress Detector Supported Galvanic Skin Response System with IoT and LabVIEW GUI

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Computers, Materials & Continua 2023年第1期74卷 1217-1233页

作者： Rajesh Singh Anita Gehlot Ritika Saxena Khalid Alsubhi divya anand Irene Delgado Noya Shaik Vaseem Akram Sushabhan Choudhury Lovely Professional University Punjab144411India Department of Electronics&Communication Engineering University of Petroleum and Energy Studies248001India Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah37848Saudi Arabia Universidad Europea del Atlántico Santander39011Spain Universidad Internacional Iberoamericana CampecheC.PMexico

Stress is now a serious disease that exists due to changes in working life and food ecosystems around the *** general,it is difficult for a person to know if they are under *** to previous research,temperature,heart rate variability(HRV),humidity,and blood pressure are used to assess stress levels with the use of *** the development of sensor technology and wireless connectivity,people around the world are adopting and using smart *** this study,a bio signal detection device with Internet of Things(IoT)capability with a galvanic skin reaction(GSR)sensor is proposed and built for real-time stress *** proposed device is based on an Arduino controller and Bluetooth *** evaluate the performance of the system,physical stress is created on 10 different participants with three distinct tasks namely reading,visualizing the timer clock,and watching *** analysis is performed for identifying the three different levels of stress and obtaining the threshold values as if the person GSR voltage i.e.,relaxed for1.44 *** addition,LabVIEW is used as a data acquisition system,and a Blueterm mobile application is also used to view the sensor reading received from the device through Bluetooth communication.

关键词： GSR LabVIEW stress detection MATLAB IoT bluetooth

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Fault Pattern Diagnosis and Classification in Sensor Nodes Using Fall Curve

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Computers, Materials & Continua 2022年第7期72卷 1799-1814页

作者： Mudita Uppal Deepali Gupta divya anand Fahd S.Alharithi Jasem Almotiri Arturo Mansilla Dinesh Singh Nitin Goyal Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjabIndia Computer Science&Engineering Department Lovely Professional UniversityJalandharPunjabIndia Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Higher Polytechnic School/Industrial Organization Engineering Universidad Europea del AtlánticoIsabel Torres 2139011SantanderSpain Department of Project Management Universidad Internacional IberoamericanaCampeche24560Mexico Computer Science and Engineering Department Deenbandhu Chhotu Ram University of Science and TechnologyMurthalSonipatHaryanaIndia

The rapid expansion of Internet of Things(IoT)devices deploys various sensors in different applications like homes,cities and *** applications depend upon the accuracy of sensor ***,it is necessary to predict faults in the sensor and isolate their cause.A novel primitive technique named fall curve is presented in this paper which characterizes sensor *** technique identifies the faulty sensor and determines the correct working of the *** sources of sensor faults are explained in detail whereas various faults that occurred in sensor nodes available in IoT devices are also presented in tabular *** prediction in digital and analog sensors along with methods of sensor fault prediction are *** are several advantages and disadvantages of sensor fault prediction methods and the fall curve ***,some solutions are provided to overcome the limitations of the fall curve *** this paper,a bibliometric analysis is carried out to visually analyze 63 papers fetched from the Scopus database for the past five *** novelty is to predict a fault before its occurrence by looking at the fall *** sensing of current flow in devices is important to prevent a major ***,the fall curves of ACS712 current sensors configured on different devices are drawn for predicting faulty or non-faulty *** analysis result proved that if any of the current sensors gets faulty,then the fall curve will differ and the value will immediately drop to *** evaluation metrics for fault prediction are also described in this *** last,this paper also addresses some possible open research issues which are important to deal with false IoT sensor data.

关键词： Fault identification fault classification IoT sensor nodes analog sensors digital sensors fall curve

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Intelligent Approach for Clustering Mutations’ Nature of COVID-19 Genome

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Computers, Materials & Continua 2022年第9期72卷 4453-4466页

作者： Ankur Dumka Parag Verma Rajesh Singh Anuj Bhardwaj Khalid Alsubhi divya anand Irene Delgado Noya Silvia Aparicio Obregon Computer Science and Engineering Women Institute of TechnologyUttarakhand248007India Chitkara University Institute of Engineering and Technology Chitkara University PunjabPunjab140401India Division of Innovation&Entrepreneurship Lovely Professional UniversityPunjab144411India Computer Science and Engineering Chandigarh UniversityPunjab140413India Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah37848Saudi Arabia Computer Science and Engineering Lovely Professional UniversityPunjab144411India Higher Polytechnic School Universidad Europea del AtlánticoSantander39011Spain Universidad Internacional Iberoamericana Campeche24560MexicoC.P Universidade Internacional do Cuanza Bairro Kaluanda BiéAngola

In December 2019,a group of people in Wuhan city of Hubei province of China were found to be affected by an infection called dark etiology *** outbreak of this pneumonia infection was declared a deadly disease by the China Center for Disease Control and Prevention on January 9,2020,named Novel Coronavirus 2019(nCoV-2019).This nCoV-2019 is now known as *** is a big list of infections of this coronavirus which is present in the form of a big *** virus can cause several diseases that usually develop with a serious *** to the World Health Organization(WHO),2019-nCoV has been placed as the modern generation of Severe Acute Respiratory Syndrome(SARS)and Middle East Respiratory Syndrome(MERS)coronaviruses,so COVID-19 can repeatedly change its internal genome structure to extend its *** and accurately predicting the mutational properties of the genome structure of COVID-19 can form a good leadership role in preventing and fighting against *** this research paper,an analytical approach has been presented which is based on the k-means cluster technique of machine learning to find the clusters over the mutational properties of the COVID-19 viruses’complete *** method would be able to act as a promising tool to monitor and track pathogenic infections in their stable and local genetics/hereditary *** paper identifies five main clusters of mutations with k=5 as best in most cases in the coronavirus that could help scientists and researchers develop disease control vaccines for the transformation of coronaviruses.

关键词： nCoV-2019 SARS-CoV-2 COVID-19 genome structure etiology COVID-19 mutations COVID-19 genomes

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A Novel Deep Learning Based Healthcare Model for COVID-19 Pandemic Stress Analysis

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Computers, Materials & Continua 2022年第9期72卷 6029-6044页

作者： Ankur Dumka Parag Verma Rajesh Singh Anil Kumar Bisht divya anand Hani Moaiteq Aljahdali Irene Delgado Noya Silvia Aparicio Obregon Computer Science and Engineering Women Institute of TechnologyUttarakhand-248007India Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjabIndia Research and Innovation Uttranchal UniversityDehradunUttrakhand248007India Department of Computer Science&IT MJP Rohilkhand UniversityBareilly236006UPIndia Computer Science and Engineering Lovely Professional UniversityPunjab144411India Higher Polytechnic School Universidad Europea del Atlántico39011SantanderSpain Faculty of Computing and Information Technology King Abdulaziz University37848JeddahSaudi Arabia Universidad Internacional Iberoamericana CampecheMexico Universidade Internacional do Cuanza Bairro Kaluanda EN 250CuitoBié.Angola

Coronavirus(COVID-19)has impacted nearly every person across the globe either in terms of losses of life or as of *** current coronavirus(COVID-19)pandemic is a rare/special situation where people can express their feelings on Internet-based social *** media is emerging as the biggest platform in recent years where people spend most of their time expressing themselves and their *** research is based on gathering data from Twitter and analyzing the behavior of the people during the COVID-19 *** research is based on the logic expressed by people in this perspective and emotions for the suffering of COVID-19 and *** this research,we have used a Long Short-Term Memory(LSTM)network model with Convolutional Neural Network using Keras python deep-learning library to determine whether social media platform users are depressed in terms of positive,negative,or neutral emotional out bust based on their Twitter *** results showed that the model has 88.14%accuracy(representation of the correct prediction over the test dataset)after 10 epochs which most tweets showed had neutral *** evaluation shows interesting results in positive(1),negative(–1),and neutral(0)emotions through different visualization.

关键词： COVID-19 lockdown stress analysis depression analysis sentiment analysis social media COVID-19 twitter dataset coronavirus

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Mobile Application Platform on Cloud Server

Mobile Application Platform on Cloud Server

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2011 International Conference on Advancements in Information Technology（ICAIT 2011）

作者： V.L.divya Affiliated to Anna University Anand Institute of Higher Technology

The number of Smartphone users and mobile applications are growing *** major problem with Smartphone is that hardware resources such as CPUs,memory and batteries are still *** solve this resource problem,many researchers have proposed architectures to use server resources in the cloud for mobile *** paper proposes a conceptual architecture where mobile application platform share the software as a service among multiple users on cloud server via network

关键词： Android Multi-tenant Cloud

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