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Intro; Preface; Organizing Committee; Advisory Committee; Program Committee; Contents; About the Editors; Location-Independent Key Distribution for Sensor Network Using Regular Graph; 1 Introduction; 1.1 Organization of the Paper; 2 Properties of Regular Graph; 3 Conversion of Graph to KPS Idea; 4 Simulation and Experimental Results; 5 Conclusion; References; A Trust-Based Technique for Secure Spectrum Access in Cognitive Radio Networks; 1 Introduction; 2 Related Work; 3 System Model; 4 Motivation and Contribution; 5 Proposed Approach; 5.1 Trust Calculation; 5.2 Spectrum Allocation

6 Experimental Results and Observations7 Conclusions; References; Flow Aggregator Module for Analysing Network Traffic; 1 Introduction; 2 Background and Related Work; 3 Flow Aggregator Module; 3.1 Simple Random Sampling (SRS) Technique; 3.2 Association Rule Mining (ARM) Technique; 4 Experimental Results and Discussion; 5 Conclusion; References; Chaos-based Modified Morphological Genetic Algorithm for Software Development Cost Estimation; 1 Introduction; 2 Dilation-Erosion Perceptron; 3 Proposed CMGA Algorithm for Estimating Cost of Traditional Software Development

3.1 Population Initialization Using Chaotic Opposition-based Learning Method3.2 Proposed Evolutionary Learning Algorithm; 4 Performance Measures; 5 Simulations and Conclusive Studies; 6 Conclusion; References; An Efficient Block Phase Correlation Approach for CMFD System; 1 Introduction; 2 Proposed Methodology; 2.1 RGB to Grayscale Conversion; 2.2 Overlapping Blocks Division; 2.3 Eliminating Low Contrast Blocks; 2.4 Lexicographical Sorting; 2.5 Dimension Reduction of Blocks Matrix; 2.6 Block Matching using Phase Correlation; 2.7 Storing of Match Blocks Coordinate; 2.8 Display Forgery

3 Experimental Results and Discussions4 Conclusions and Future Work; References; Automated Validation of DNSSEC; 1 Introduction; 2 DNS and DNSSEC; 3 AVISPA and HLPSL; 4 An Overview of DNSSEC Specification Process; 5 Validating DNSSEC Using AVISPA; 6 Results; 7 Conclusion; References; Optimal Clustering in Weibull Distributed WSNs Based on Realistic Energy Dissipation Model; 1 Introduction; 1.1 Motivation and Contributions; 2 Proposed Realistic Energy Dissipation Model and Optimal Clustering Using Weibull Distribution; 2.1 Energy Consumption in Sensing Unit

2.2 Energy Consumed in Processing of Signal2.3 Energy Consumed by Processing Unit; 3 Analytical Formulation of Optimal Cluster Based on Realistic Energy Dissipation Model of Sensor Node; 3.1 Optimal Cluster for Weibull Distributed Sensor Network; 4 Performance Evaluation; 5 Conclusion; References; An Empirical Analysis of Articles on Sentiment Analysis; 1 Introduction; 2 Sentiment Analysis Using Various Approaches; 3 Preliminary Steps Involved in Sentiment Analysis; 4 Literature Survey and Categorization of Articles; 5 Conclusion; References

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