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Computational Intelligence, Cyber Security and Computational Models: Proceedings of ICC3 2015 de Muthukrishnan Senthilkumar

Computational Intelligence, Cyber Security and Computational Models: Proceedings of ICC3 2015: Advances in Intelligent Systems and Computing, cartea 412

Editat de Muthukrishnan Senthilkumar, Vijayalakshmi Ramasamy, Shina Sheen, C. Veeramani, Anthony Bonato, Lynn Batten
en Limba Engleză Paperback – 27 ian 2016
This bookaims at promoting high-quality research by researchers and practitioners fromacademia and industry at the InternationalConference on Computational Intelligence, Cyber Security, and ComputationalModels ICC3 2015 organized by PSG College of Technology, Coimbatore, Indiaduring December 17 – 19, 2015. This book enriches with innovations in broadareas of research like computational modeling, computational intelligence andcyber security. These emerging inter disciplinary research areas have helped tosolve multifaceted problems and gained lot of attention in recent years. Thisencompasses theory and applications, to provide design, analysis and modelingof the aforementioned key areas.
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Specificații

ISBN-13: 9789811002502
ISBN-10: 9811002509
Pagini: 588
Ilustrații: XVI, 586 p. 224 illus.
Dimensiuni: 155 x 235 x 38 mm
Greutate: 0.84 kg
Ediția:1st ed. 2016
Editura: Springer Nature Singapore
Colecția Springer
Seria Advances in Intelligent Systems and Computing

Locul publicării:Singapore, Singapore

Public țintă

Research

Cuprins

Part I_Keynote Address: 1. The game of Wall Cops and Robbers.-2. Smartphone Applications, Malwareand Data Theft.- 3. Towards Evolutionary Multitasking: A New Paradigm in Evolutionary Computation.- 4. Generating a Standardized Upper Ontology for Security of Information andNetworks.- Part II_Computational Intelligence: Chapter 1. Analysis of Throat Microphone Using MFCCfeatures for Speaker Recognition.- Chapter 2. Single-pixel Based DoubleRandom-Phase Encoding Technique.- Chapter 3. Kernel Online Multi-taskLearning.- Chapter 4. Performance Evaluation of SentimentClassification Using Query Strategies in a Pool Based Active Learning Scenario.-Chapter 5. An Enhanced Image Watermarking Scheme Using Blockswith Homogeneous Feature Distribution.- Chapter6. Performance Analysis of ApEn asa Feature Extraction Technique and Time Delay Neural Networks, Multi-layerPerceptron as Post Classifiers for the Classification of Epilepsy Risk Levelsfrom EEG Signals.- Chapter 7.Suspicious Human Activity Detection inClassroom Examination.- Chapter 8. H ∞  StateEstimation of Discrete Time Delayed Neural Networks with Multiple Missing MeasurementsUsing Second Order Reciprocal Convex Approach.- Chapter 9. A FuzzyMethodology for Clustering Text Documents with Uncertain Spatial References.- Chapter10. A Novel Feature Extraction Algorithm fromFingerprint Image in Wavelet Domain.- Chapter 11. Motorimagery Classification Based on Variable Precision Multigranulation Rough Set.-Chapter 12. Fault Tolerant and Energy Efficient Signal Processing on FPGA Using EvolutionaryTechniques.- Chapter 13. A Two Phase Approach for Efficient Clusteringof Web Services.- Chapter 14. Elimination of Redundant Association Rules– An Efficient Linear Approach.- Chapter 15. Clustering Techniques fromSignificance Analysis of Microarrays.- Chapter 16. Breast RegionExtraction and Pectoral Removal by Pixel Constancy Constraint approach inMammograms.- Chapter 17. Bridging the Semantic Gap in Image Search viaVisual Semantic Descriptors by Integrating Text and Visual Features.- Chapter18. Adaptive Equalization Algorithm for Electrocardiogram SignalTransmission.- Chapter 19. An Efficient Approach for MapReduceResult Verification.- Chapter 20. Improving Lifetime of Memory Devices Using EvolutionaryComputing Based Error Correction Coding.- Chapter 21. Comparison ofMachine Learning Techniques for the Identification of the Stages of Parkinson'sDisease.- Chapter 22. Security Constrained Unit Commitment Problem EmployingArtificial Computational Intelligence for Wind-thermal Power System.- Chapter23. Human Gait Recognition Using Fuzzy Logic.- Chapter 24. Detectionand Diagnosis of Dilated and Hypertrophic Cardiomyopathy by EchocardiogramSequences Analysis.- Chapter 25. An Elitist Genetic Algorithm BasedExtreme Learning Machine.- Chapter 26.Formulation and Enhancement of User AdaptiveAccess to the Learning Resources in E-Learning Using Fuzzy Inference Engine.- Part III_Cyber Security: Chapter 27. A Robust User Anonymity Preserving Biometric Based Multi-serverAuthenticated Key Agreement Scheme.- Chapter28. Extended Game Theoretic Dirichlet Based Collaborative IntrusionDetection Systems.- Chapter 29.Implementation of ECDSA Using Sponge Based Hash Function.- Chapter 30. Contrast-Enhanced Visual Cryptography Schemes Based onPerfect Reconstruction of White Pixels and Additional Basis Matrix.-Chapter 31. Hash Based Two Gateway Payment Protocol EnsuringAccountability with Dynamic ID-verifier for Digital Goods Providers.- Chapter 32. DecryptingShared Encrypted Data Files Stored in a Cloud Using Dynamic Key Aggregation.- Chapter 33. A Lock and Key Share (2,m,n) Random Grid Visual Secret Sharing Schemewith XOR and OR Decryptions.- Chapter 34. Multilevel Multimedia Security by Integrating Visual Cryptography andSteganography Techniques.- Chapter 35. Kout of N Secret Sharing Scheme with Steganography and Authentication.- Chapter 36. A Centralized Trust Computation Model (CTC) for Secure Group Formation inMilitary Based Mobile Ad-hoc Networks Using Stereotypes.- Chapter37. Cost Effective Re-keying Approach for Dynamic Membership Changes in Group KeyManagement.- Chapter 38. A Multipath Routing Protocol which Preserves Security and Anonymity ofData in Mobile Ad-hoc Networks.- Chapter 39. An Efficient Continuous Auditing Methodology for Outsourced Data Storagein Cloud Computing.- Part IV_Computational Models: Chapter 40. A Study on BuildingSeamless Communication Among Vehicles in Vanet Using the Integrated AgentCommunication Model (IACM).- Chapter 41.A Hybrid Approach for Data Hidingthrough Chaos Theory and Reversible Integer Mapping.-Chapter 42. Fluid Queue Driven by an M/E2/1 Queuing Model.- Chapter 43. An Effective Toolfor optimizing the Number of Test Paths in Data Flow Testing for AnomalyDetection.- Chapter 44. Venus FlytrapOptimization.- Chapter 45.Zumkeller CordialLabeling of Graphs.- Chapter46. Cuckoo BasedResource Allocation for Mobile Cloud Environments.- Chapter 47. Transient Analysisof an M/M/c Queue Subject to Multiple Exponential Vacation.- Chapter 48. Fractional Filter BasedInternal Model Controller for Nonlinear Process.- Chapter 49. A Novel Method forSolving Triangular and Trapezoidal Intuitionistic Fuzzy Games Using DominanceProperty and Oddment Method.

Notă biografică

Muthukrishnan Senthilkumaris an Associate Professor, Department of Applied Mathematics and ComputationalSciences, PSG College of Technology. He has got Post Doctoral Fellowship fromDepartment of Nanobio Materials and Electronics, (WCU), Gwangju Institute ofScience and Technology (GIST), Gwangju, Republic of Korea. He is also aVisiting Professor to the School of Information and Communication, GIST,Republic of Korea. He has over 16 years of teaching and research experience. Hehas received PhD in Retrial Queueing Models from Anna University, Chennai,India. His biography is recognized and included in the biographies of MarquisWho’s Who in the World 2013 and 2016. His fields of interest include retrialqueueing theory, data communication and reliability engineering. He haspublished several research articles in refereed reputed journals. Currently heis guiding 4 PhD scholars.
Vijayalakshmi Ramasamyhas over 19 years of academic experience and currently isAssociate Professorin the Department of Applied Mathematics and Computational Sciences at PSGCollege of Technology, India. She received her PhD in Graph MiningAlgorithms from Anna University. Her research interest includes graphbased data mining, especially complex network systems, and social networkanalysis. Her research publications include about 30 Peer reviewedInternational Journals and conference papers. She has been a reviewer inreputed journals. She is currently actively associated with Cognitive Neuro-engineeringLaboratory (CNEL), UniSA in the acquisition and analysis of brain wave data forcognitive modeling, pattern identification and visualization usinggraph-theoretic approaches. She has established a ComputationalNeuroscience Laboratory in 2012 at PSG College of Technology in associationwith Prof. Nanda Nandagopal, Professor of Defense, University of SouthAustralia, Australia.
Shina Sheen is an Assistant Professor(Selection Grade) at the Department of Applied Mathematics and ComputationalSciences at PSG College of Technology. She holds a BSc in Physics from CalicutUniversity and a MCA and MPhil in Computer Science from Bharathiyar University.Her PhD thesis is in the area of Malware Detection using Machine Learning andData Mining Techniques. Her research focuses on security in smart devices, intrusiondetection, Cyber security and Data Mining. She has published articles inrefereed reputed journals and conference proceedings. She holds the GIACcertified Intrusion Analyst (GCIA) security certification. She is a member of ACM,Cryptology Research Society of India and the Computer Society of India.
C. Veeramani is an Assistant Professor, Department ofApplied Mathematics and Computational Sciences, PSG College of Technology. Hehas received PhD degree in Fuzzy Optimization from Anna University, Chennai,India. He has over 10 years of teaching and research experience. His fields ofinterest include fuzzy optimization, fuzzy logic, soft computing and epidemicmodels. He has published his research articles in various reputed internationaljournals and international conference proceedings. Currently, he is guiding 4PhD scholars in the area of fuzzy optimization and fuzzy epidemic models.
Anthony Bonato is AssociateDean, Students and Programs in the Yeates School of Graduate Studies at RyersonUniversity and Editor-in-Chief of the journal Internet Mathematics. He hasauthored over 90 publications with 40 co-authors on the topics of graph theoryand complex networks. In 2009 and 2011, he was awarded Ryerson Faculty SRCAwards for excellence in research. In 2012, he was awarded an inaugural YSGSOutstanding Contribution to Graduate Education Award. In 2015, Bonato was appointed to theNSERC Discovery Mathematics and Statistics Evaluation Group for a three yearterm.
Lynn Batten is the Director of InformationSecurity Group, Deakin University, Australia. Her current research interests include malicious software,information security and reliability, cryptology, computer forensics, codingtheory, optimization techniques. She is a member of the editorial board ofthe Journal of Combinatorial Mathematics and Combinatorial Computing andof the Journal of the Australian Mathematical Society. She is on the Boardof Directors of SECIA. She has published several books and research articles inrefereed reputed journals. 

Textul de pe ultima copertă

This bookaims at promoting high-quality research by researchers and practitioners fromacademia and industry at the InternationalConference on Computational Intelligence, Cyber Security, and ComputationalModels ICC3 2015 organized by PSG College of Technology, Coimbatore, Indiaduring December 17 – 19, 2015. This book enriches with innovations in broadareas of research like computational modeling, computational intelligence andcyber security. These emerging inter disciplinary research areas have helped tosolve multifaceted problems and gained lot of attention in recent years. Thisencompasses theory and applications, to provide design, analysis and modelingof the aforementioned key areas.

Caracteristici

ideas in the field of computer science and mathematics theory and applications, to provide design, analysis and modelling of Computational Intelligence, Cyber Security, and Computational Models Useful for thosewho are pursuing research Includes supplementary material: sn.pub/extras