Advances in Big Data and Cloud Computing: Proceedings of ICBDCC18

575 Pages·2019·20.326 MB·English

by  J. Dinesh Peter, Amir H. Alavi, Bahman Javadi

Advances in Intelligent Systems and Computing 750
J. Dinesh Peter · Amir H. Alavi 
Editors
Bahman Javadi   
Advances
in Big Data
and Cloud
Computing
Proceedings of ICBDCC18
Advances in Intelligent Systems and Computing
Volume 750
Series editor
Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences,
Warsaw, Poland
e-mail: [email protected]
The series “Advances in Intelligent Systems and Computing” contains publications on theory,
applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all
disciplines such as engineering, natural sciences, computer and information science, ICT, economics,
business,e-commerce,environment,healthcare,lifesciencearecovered.Thelistoftopicsspansallthe
areasofmodernintelligentsystemsandcomputingsuchas:computationalintelligence,softcomputing
includingneuralnetworks,fuzzysystems,evolutionarycomputingandthefusionoftheseparadigms,
social intelligence, ambient intelligence, computational neuroscience, artificial life, virtual worlds and
society, cognitive science and systems, Perception and Vision, DNA and immune based systems,
self-organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric
computing, recommender systems, intelligent control, robotics and mechatronics including
human-machine teaming, knowledge-based paradigms, learning paradigms, machine ethics, intelligent
data analysis, knowledge management, intelligent agents, intelligent decision making and support,
intelligentnetworksecurity,trustmanagement,interactiveentertainment,Webintelligenceandmultimedia.
Thepublicationswithin“AdvancesinIntelligentSystemsandComputing”areprimarilyproceedings
ofimportantconferences,symposiaandcongresses.Theycoversignificantrecentdevelopmentsinthe
field,bothofafoundationalandapplicablecharacter.Animportantcharacteristicfeatureoftheseriesis
theshortpublicationtimeandworld-widedistribution.Thispermitsarapidandbroaddisseminationof
researchresults.
AdvisoryBoard
Chairman
NikhilR.Pal,IndianStatisticalInstitute,Kolkata,India
e-mail:[email protected]
Members
RafaelBelloPerez,FacultyofMathematics,PhysicsandComputing,UniversidadCentraldeLasVillas,Santa
Clara,Cuba
e-mail:[email protected]
EmilioS.Corchado,UniversityofSalamanca,Salamanca,Spain
e-mail:[email protected]
HaniHagras,SchoolofComputerScience&ElectronicEngineering,UniversityofEssex,Colchester,UK
e-mail:[email protected]
LászlóT.Kóczy,DepartmentofInformationTechnology,FacultyofEngineeringSciences,Győr,Hungary
e-mail:[email protected]
VladikKreinovich,DepartmentofComputerScience,UniversityofTexasatElPaso,ElPaso,TX,USA
e-mail:[email protected]
Chin-TengLin,DepartmentofElectricalEngineering,NationalChiaoTungUniversity,Hsinchu,Taiwan
e-mail:[email protected]
JieLu,FacultyofEngineeringandInformation,UniversityofTechnologySydney,Sydney,NSW,Australia
e-mail:[email protected]
PatriciaMelin,GraduateProgramofComputerScience,TijuanaInstituteofTechnology,Tijuana,Mexico
e-mail:[email protected]
NadiaNedjah,DepartmentofElectronicsEngineering,UniversityofRiodeJaneiro,RiodeJaneiro,Brazil
e-mail:[email protected]
NgocThanhNguyen,WrocławUniversityofTechnology,Wrocław,Poland
e-mail:[email protected]
Jun Wang, Department of Mechanical and Automation, The Chinese University of Hong Kong, Shatin,
HongKong
e-mail:[email protected]
Moreinformationaboutthisseriesathttp://www.springer.com/series/11156
J. Dinesh Peter Amir H. Alavi
(cid:129)
Bahman Javadi
Editors
Advances in Big Data
and Cloud Computing
Proceedings of ICBDCC18
123
Editors
J.Dinesh Peter Bahman Javadi
Department ofComputer Sciences Schoolof Computing, Engineeringand
Technology Mathematics
KarunyaInstituteofTechnology&Sciences University of Western Sydney
Coimbatore, Tamil Nadu,India Sydney,NSW,Australia
Amir H.Alavi
Department ofCivil andEnvironmental
Engineering
University of Missouri
Columbia, MO,USA
ISSN 2194-5357 ISSN 2194-5365 (electronic)
Advances in Intelligent Systems andComputing
ISBN978-981-13-1881-8 ISBN978-981-13-1882-5 (eBook)
https://doi.org/10.1007/978-981-13-1882-5
LibraryofCongressControlNumber:2017957703
©SpringerNatureSingaporePteLtd.2019
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Preface
Theboomofcloudtechnologiesandclouddatastoragehasbeenaforerunnertothe
growth of big data. It has substantial advantages over conventional physical
deployments. In India, the organizations that adopt big data have established the
boundary between the use of private clouds, public clouds, and Internet of things
(IoT),whichallowsbetteraccess,performance,andefficiencyofanalyzingthedata
and understanding the data analytics. The main objective of this conference is to
reignite,encourage,andbringtogethertheproficientmembersandprofessionalsin
the field of big data and cloud computing.
International Conference on Big data and Cloud Computing (ICBDCC18) is a
joint venture of the professors in the Department of Computer Science and
Engineering of Karunya University, University of Missouri (USA), and Western
Sydney University (Australia). ICBDCC18 provided a unique forum for the prac-
titioners, developers, and users to exchange ideas and present their observations,
models,results,andexperienceswiththeresearcherswhoareinvolvedinreal-time
projectsinbigdataandcloudcomputingtechnologies.Inthelastdecade,anumber
of sophisticated and new computing technologies have been evolved that strides
straddle the society in every facet of it. With the introduction of new computing
paradigms such as cloud computing, big data, and other innovations, ICBDCC18
providedaprofessionalforumforthedisseminationofnewideas,technologyfocus,
research results, and discussions on the evolution of computing for the benefit of
bothscientificandindustrialdevelopments.ICBDCC18hasbeensupportedbythe
panel of reputed advisory committee members from both India and abroad. The
research tracks of ICBDCC18 received a total of 110 submissions that were full
researchpapersonbigdataandcloudcomputing.Eachresearcharticlesubmission
was subjected to a rigorous blind review process by two eminent academicians.
After the scrutiny, 51 papers were selected for presentation in the conference and
are included in this volume.
Thisproceedingsincludestopicsinthefieldsofbigdata,dataanalyticsincloud,
cloud security, cloud computing, big data and cloud computing applications. The
research articles featured in this proceedings provide novel ideas that contribute to
the growth of thesociety through the recent computing technologies. The contents
v
vi Preface
of this proceedings will prove to be an invaluable asset to the researchers in the
areas of big data and cloud computing.
The editors appreciate the extensive time and effort put in by all the members
of the organizing committee for ensuring a high standard for the articles published
in this volume. We would like to record our thanks to the panel of experts who
helped us to review the articles and assisted us in selecting the candidates for the
best paper award. The editors would like to thank the eminent keynote speakers
whohaveconsentedandsharedtheirideaswiththeaudienceandalltheresearchers
and academicians who have contributed their research work, models, and ideas to
ICBDCC18.
Coimbatore, India J. Dinesh Peter
Columbia, USA Amir H. Alavi
Sydney, Australia Bahman Javadi
Contents
Fault-Tolerant Cloud System Based on Fault Tree Analysis . . . . . . . . . 1
Getzi Jeba Leelipushpam Paulraj, Sharmila John Francis, J. Dinesh Peter
and Immanuel John Raja Jebadurai
Major Vulnerabilities and Their Prevention Methods in Cloud
Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Jomina John and Jasmine Norman
Assessment of Solar Energy Potential of Smart Cities of Tamil Nadu
Using Machine Learning with Big Data . . . . . . . . . . . . . . . . . . . . . . . . . 27
R. Meenal and A. Immanuel Selvakumar
Taxonomy of Security Attacks and Risk Assessment of Cloud
Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
M. Swathy Akshaya and G. Padmavathi
Execution Time Based Sufferage Algorithm for Static Task
Scheduling in Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
H. Krishnaveni and V. Sinthu Janita Prakash
QoS-Aware Live Multimedia Streaming Using Dynamic P2P Overlay
for Cloud-Based Virtual Telemedicine System (CVTS) . . . . . . . . . . . . . 71
D. Preetha Evangeline and P. Anandhakumar
Multi-level Iterative Interdependency Clustering of Diabetic
Data Set for Efficient Disease Prediction . . . . . . . . . . . . . . . . . . . . . . . . 83
B. V. Baiju and K. Rameshkumar
Computational Offloading Paradigms in Mobile Cloud Computing
Issues and Challenges. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95
Pravneet Kaur and Gagandeep
Cost Evaluation of Virtual Machine Live Migration Through
Bandwidth Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107
V. R. Anu and Elizabeth Sherly
vii
viii Contents
Star Hotel Hospitality Load Balancing Technique in Cloud
Computing Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119
V. Sakthivelmurugan, R. Vimala and K. R. Aravind Britto
Prediction of Agriculture Growth and Level of Concentration
in Paddy—A Stochastic Data Mining Approach . . . . . . . . . . . . . . . . . . 127
P. Rajesh and M. Karthikeyan
Reliable Monitoring Security System to Prevent MAC Spoofing
in Ubiquitous Wireless Network. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141
S. U. Ullas and J. Sandeep
Switch Failure Detection in Software-Defined Networks. . . . . . . . . . . . . 155
V. Muthumanikandan, C. Valliyammai and B. Swarna Deepa
A Lightweight Memory-Based Protocol Authentication Using
Radio Frequency Identification (RFID) . . . . . . . . . . . . . . . . . . . . . . . . . 163
Parvathy Arulmozhi, J. B. B. Rayappan and Pethuru Raj
Efficient Recommender System by Implicit Emotion Prediction. . . . . . . 173
M. V. Ishwarya, G. Swetha, S. Saptha Maaleekaa and R. Anu Grahaa
A Study on the Corda and Ripple Blockchain Platforms. . . . . . . . . . . . 179
Mariya Benji and M. Sindhu
Survey on Sensitive Data Handling—Challenges and Solutions
in Cloud Storage System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189
M. Sumathi and S. Sangeetha
Classifying Road Traffic Data Using Data Mining Classification
Algorithms: A Comparative Study. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197
J. Patricia Annie Jebamalar, Sujni Paul and D. Ponmary Pushpa Latha
D-SCAP: DDoS Attack Traffic Generation Using Scapy
Framework. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207
Guntupalli Manoj Kumar and A. R. Vasudevan
Big Data-Based Image Retrieval Model Using Shape Adaptive
Discreet Curvelet Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215
J. Santhana Krishnan and P. SivaKumar
Region-Wise Rainfall Prediction Using MapReduce-Based
Exponential Smoothing Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . 229
S. Dhamodharavadhani and R. Rathipriya
Association Rule Construction from Crime Pattern Through
Novelty Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241
D. Usha, K. Rameshkumar and B. V. Baiju
Contents ix
Tweet Analysis Based on Distinct Opinion of Social Media Users’. . . . . 251
S. Geetha and Kaliappan Vishnu Kumar
Optimal Band Selection Using Generalized Covering-Based Rough
Sets on Hyperspectral Remote Sensing Big Data . . . . . . . . . . . . . . . . . . 263
Harika Kelam and M. Venkatesan
Improved Feature-Specific Collaborative Filtering Model for the
Aspect-Opinion Based Product Recommendation. . . . . . . . . . . . . . . . . . 275
J. Sangeetha and V. Sinthu Janita Prakash
Social Interaction and Stress-Based Recommendations for Elderly
Healthcare Support System—A Survey . . . . . . . . . . . . . . . . . . . . . . . . . 291
M. Janani and N. Yuvaraj
Performance Optimization of Hypervisor’s Network Bridge
by Reducing Latency in Virtual Layers . . . . . . . . . . . . . . . . . . . . . . . . . 305
Ponnamanda China Venkanna Varma, V. Valli Kumari
and S. Viswanadha Raju
A Study on Usability and Security of Mid-Air Gesture-Based
Locking System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313
BoYu Gao, HyungSeok Kim and J. Divya Udayan
Comparative Study of Classification Algorithm
for Diabetics Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327
D. Tamil Priya and J. Divya Udayan
Challenges and Applications of Wireless Sensor Networks
in Smart Farming—A Survey . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 353
T. Rajasekaran and S. Anandamurugan
A Provable and Secure Key Exchange Protocol Based on the
Elliptical Curve Diffe–Hellman for WSN . . . . . . . . . . . . . . . . . . . . . . . . 363
Ummer Iqbal and Saima Shafi
A Novel Background Normalization Technique with Textural
Pattern Analysis for Multiple Target Tracking in Video . . . . . . . . . . . . 373
D. Mohanapriya and K. Mahesh
Latency Aware Reliable Intrusion Detection System for Ensuring
Network Security . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383
L. Sheeba and V. S. Meenakshi
IoT-Based Continuous Bedside Monitoring Systems. . . . . . . . . . . . . . . . 401
G. R. Ashisha, X. Anitha Mary, K. Rajasekaran and R. Jegan
IoT-Based Vibration Measurement System
for Industrial Contactors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411
J. Jebisha, X. Anitha Mary and K. Rajasekaran