Intro; Organization; Organizing Chairs; Organizing Co-Chair; Organizing Secretary; Members; Technical Program Committee; Technical Program Committee Co-Chairs; Advisory Committee; Members; Preface; Contents; Editors and Contributors; Snaring Cyber Attacks on IoT Devices with Honeynet; 1 Introduction; 1.1 Architecture of IoT; 1.2 Honeynet; 2 Problem Identification; 3 Implemented Framework; 3.1 Process Flow of Implemented System; 3.2 Virtual Honeynet Architecture; 4 OAuth and Honeynet Implementation; 5 Result Parameter Analysis; 6 Conclusion and Future Work; References

Image Enhancement Using Morphological Operations: A Case Study1 Introduction; 2 Erosion Algorithm; 2.1 MATLAB Coding: Erosion; 3 Dilation Algorithm; 3.1 MATLAB Coding: Dilation; 4 Opening Operation; 4.1 MATLAB Coding: Opening; 5 Closing Operation; 5.1 MATLAB Coding: Closing; 6 Results; 7 Applications of Morphology; 8 Conclusion; References; Evaluation of e-NAM Adoption: A Case of Jetalpur Mandi, Gujarat; 1 Introduction; 2 Electronic-National Agriculture Market (e-NAM); 3 Research Methodology; 4 e-NAM in Gujarat; 4.1 About Jetalpur Mandi; 4.2 Process Flow for the Commodity at e-NAMs

5 Findings5.1 Observability; 5.2 Relative Advantage; 5.3 Compatibility; 5.4 Trialability; 5.5 Complexity; 6 Discussion and Conclusion; References; A New Technique for Extrinsic Text Summarization; 1 Introduction; 2 Basic Ideas and Theory of Operation; 2.1 Text Mining; 2.2 Text Preprocessing; 2.3 Sentence Extraction; 2.4 Multi-text Summarization; 3 Overview of Current Approach; 4 Algorithm for Present Technique; 5 Experimental Results; 6 Conclusion; References; Dynamic Provisioning of Cloud Resources Based on Workload Prediction; 1 Introduction; 2 Related Works

3 Proposed Framework for Auto-scaling Based on Workload Prediction3.1 End-User Layer; 3.2 Application Layer; 3.3 Predictor Layer; 3.4 VM Layer; 4 Conclusion and Future Works; References; Conceptual Machine Learning Framework for Initial Data Analysis; 1 Introduction; 2 Machine Learning; 3 Machine Learning for Initial Data Analysis (IDA); 3.1 Data Cleansing; 3.2 Data Transformation; 4 Machine Learning Framework for IDA; 5 Conclusion; References; The Role of Social Factors in Education: A Case Study in Social Network Perspective; 1 Introduction; 1.1 Objectives and Main Contributions

2 Methodology3 Result and Discussion; 4 Conclusion; References; Investigating the Effect of Compression and Decompression in Video Using Fractal Technique; 1 Introduction; 2 Fractal Video Compression; 3 Fractal Triangular Partitioning Scheme (ITP); 3.1 Video Encoding Process Using Triangular Partitioning Scheme; 3.2 Video Decoding Process Using Triangular Partitioning Scheme; 4 Results; 5 Conclusion; References; Classifier Ensembling: Dataset Learning Using Bagging and Boosting; 1 Introduction; 2 Related Work; 3 Issues and Challenges; 4 Problem Statement; 5 Proposed Algorithm