Computing science, communication and security : second international conference, COMS2 2021, Gujarat, India, February 6-7, 2021 : revised selected papers

Preface
Organization
Contents
Artificial Intelligence and Machine Learning
Data Balancing for Credit Card Fraud Detection Using Complementary Neural Networks and SMOTE Algorithm
	1 Introduction
	2 Literature Review
	3 Dataset Description
	4 Proposed Method
		4.1 Data Balancing Network
		4.2 Classification Algorithms
	5 Results
		5.1 Performance of CMTNN
		5.2 Classification Results
	6 Conclusions and Future Work
	References
A Multi Class Classification for Detection of IoT Botnet Malware
	1 Introduction
		1.1 IoT Botnet
		1.2 Briefing on IoT Botnet Attacks
	2 Related Works
	3 Data Collection and Preprocessing
		3.1 Details About IoT-23 and MedBIoT DataSet
		3.2 Log Extraction Using Zeek
		3.3 Samples and Features Considered
		3.4 KNN Imputation
	4 Building a Classifier and Implementing GAN
		4.1 Ensemble Approach
		4.2 Applying Conditional Generative Adversarial Networks (CTGAN)
	5 Results and Discussion
	6 Conclusion and Future Work
	References
An AI-Based Solution to Reduce Undesired Face-Touching as a Precautionary Measure for COVID-19
	1 Introduction
	2 Proposed System
	3 Methodology and Algorithmic Explanation
		3.1 Introduction to BodyPix 2.0
		3.2 Working
	4 Comparative Analysis of Existing Detection Methods
		4.1 Available Models
		4.2 Purpose of Choosing BodyPix 2.0
	5 Experimental Results
		5.1 Accuracy Determination
		5.2 Determining the Response Time
	6 Conclusion
	References
DDoS Attack Detection Using Artificial Neural Network
	1 Introduction
	2 Related Work
	3 Data Set
		3.1 Data Preparation
		3.2 Sample Data Set
		3.3 Feature Reduction
	4 Normalization
		4.1 Min-Max Algorithm
		4.2 Label Encoding
		4.3 Normalized Data Set
	5 Back Propagation Neural Network
		5.1 Algorithm
		5.2 Back Propagation Neural Network (BPNN) Model
	6 Results
	7 Conclusion
	References
Click Ad Fraud Detection Using XGBoost Gradient Boosting Algorithm
	1 Introduction
		1.1 World of Internet Advertising
		1.2 Online Advertising Fraud
		1.3 Click Fraud
		1.4 Sources of Click Fraud
		1.5 Problems of Detecting Click Fraud
	2 Related Work
	3 Proposed Solution
		3.1 Dataset
		3.2 Exploratory Data Analysis
		3.3 Feature Engineering
	4 Modelling
	5 Results and Analysis
		5.1 Model Evaluation
		5.2 Comparing Results
		5.3 Evaluating the Features Selected for Models
	6 Conclusion and Future Work
	References
A Natural Language Processing Approach to Mine Online Reviews Using Topic Modelling
	1 Introduction
		1.1 Feedback of Products
		1.2 Recovery of Information from Unstructured Text, Collection of Functions
		1.3 Semi-supervised Topic Modelling in Tweets Based on Topic Modelling
		1.4 Topic Modelling for Social Media in the Restaurant Based Industry
	2 Related Work
	3 Method
	4 Conclusions
	References
An Implementation and Combining of Hybrid and Content Based and Collaborative Filtering Algorithms for the Higher Performance of Recommended Sytems
	1 Introduction
	2 Literature Survey
		2.1 Content Based Recommenders (CBR)
		2.2 Collaborative Filtering (CF)
	3 Hybrid Recommended Systems Concept
	4 Categorization of Hybrid Recommended Systems
		4.1 Monolithic Hybrids
		4.2 Parallelized Hybrids
		4.3 Pipelined Hybrids
	5 Similarity Metrices
		5.1 Cosine Metrices
		5.2 Adjusted Cosine Metrices
	6 Road Map for Hybrid Recommended Systems
	7 Train/Test of Dataset
	8 Building Customized Algorithm and Evaluation on the Top of SurpriseLib
	9 Evaluation of Recommender Systems
	10 Step by Step Implementation and Experimental Setup of Recommender Systems Algorithm
	11 Result and Discussions
	12 Conclusion
	References
Event-Related Potential Classification Based on EEG Data Using xDWAN with MDM and KNN
	1 Introduction
	2 Related Work
	3 Data Description
	4 Proposed Methodology
		4.1 EEGNet Model: Compact Convolutional Neural Network (Compact-CNN)
		4.2 xDAWN Spatial Filtering
		4.3 xDAWAN with Riemannian Geometry
		4.4 Classification
	5 Result and Discussion
	6 Conclusion and Future Work
	References
Oil Spill Discrimination of SAR Satellite Images Using Deep Learning Based Semantic Segmentation
	1 Introduction
	2 Related Work
	3 Problem Formulation
	4 Image Datasets
	5 Proposed Method
		5.1 Image Preprocessing
		5.2 Semantic Segmentation
	6 Performance Measures
	7 Results and Findings
		7.1 Based on Filters
		7.2 Based on Datasets
		7.3 Based on Segmentation
	8 Conclusion
	References
Sentiment Analysis of Bangla Language Using Deep Learning Approaches
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Database Formation
		3.2 Word Embedding
		3.3 Convolutional Neural Network (CNN)
		3.4 Long Short-Term Memory (LSTM)
		3.5 CNN-LSTM
	4 Result and Analysis
	5 Conclusions
	References
Networking and Communications
Bit Error Rate Analysis of Optical Switch Buffer in Presence of Dispersion and Optical Amplifier Noise
	1 Introduction
		1.1 Novelty
		1.2 Research Contributions
		1.3 Layout
	2 The Proposed Optical Switch Design
	3 Performance Evaluation of the Proposed Switch
	4 Conclusions and Future Work
	References
Experimenting with Scalability of Software Defined Networks Using Pyretic and Frenetic
	1 Introduction
	2 Related Work
		2.1 SDN – Software Defined Networks Architecture
		2.2 Frenetic: A Network Programming Language
		2.3 Modular SDN Programming with Pyretic
		2.4 Research Gap and Motivation
	3 FRENETIC and PYRETIC
		3.1 Frenetic
		3.2 Pyretic (Python + Frenetic)
		3.3 Pyretic Network Policies
		3.4 Pyretic Features
	4 Tools, Techniques and Simulation Environment
	5 Experimental Procedure
		5.1 Running Pyretic with Mininet
		5.2 Generating Topologies
		5.3 Traffic Generation and Logging Network Events
		5.4 Graph Generation
	6 Performance Metrics and Result Discussions
		6.1 Throughput
		6.2 Jitter
		6.3 Latency
	7 Conclusion
	8 Future Work
	References
Design and Implementation of Lightweight Dynamic Elliptic Curve Cryptography Using Schoof’s Algorithm
	1 Introduction
	2 Design and Idea of Elliptic Curve Cryptography
		2.1 Basic Idea Behind Elliptic Curve Cryptography
		2.2 Limitation in Other Techniques
	3 Preliminary Work
		3.1 Elliptic Curves
		3.2 Point Addition
		3.3 Scalar Multiplication
		3.4 Elliptic Curve Cryptography
		3.5 Schoof’s Algorithm
	4 Proposed Dynamic Elliptic Curve Cryptography
		4.1 Randomising the Constants
		4.2 Counting the Points of Elliptic Curve
		4.3 Randomly Choosing a Generator Point
		4.4 Flowchart
	5 Results
	6 Conclusion
	References
QRP: QPSO Based Routing Protocol for Energy Efficiency in Wireless Body Area Networks
	1 Introduction
	2 Related Work
		2.1 Novelty
	3 Preliminaries
		3.1 Particle Swarm Optimization
		3.2 Quantum-Inspired Particle Swarm Optimization
	4 Materials and Methods
		4.1 Networking Model
		4.2 Energy Model
		4.3 Path-Loss Model
		4.4 Proposed Approach
	5 Results and Discussions
		5.1 Throughput
		5.2 Residual Energy
		5.3 Network Lifetime
		5.4 Packets Sent to Sink
		5.5 Packet Dropped
		5.6 Path-Loss
	6 Conclusion and Future Scope
	References
Investigation of Alibaba Cloud Data Set for Resource Management in Cloud Computing
	1 Introduction
	2 Understanding Ali Baba Dataset
		2.1 Resource Utilization Information
		2.2 Online Service (Container)
		2.3 Online Request Table (Containerevent.csv)
		2.4 Batch Workload
	3 Data Analysis
		3.1 Utilization and Summary of Data
		3.2 Overall Utilization
		3.3 Characterized Workload
		3.4 Recent Research for the Dataset
	4 Conclusion
	References
A Hybrid Approach Based on ACO and Firefly Algorithm for Routing in FANETs
	1 Introduction
	2 Literature Review
	3 Existing Algorithm
		3.1 Ant Colony Optimization (ACO)
		3.2 Firefly Algorithm
	4 Proposed Algorithm
	5 Parameters and Methods
		5.1 Simulation Platform
		5.2 Simulation Parameters
		5.3 Performance Parameters
	6 Results and Discussion
	7 Conclusion
	References
RC-Security Mechanism to Prevent Attacks on IoT Smart Switch
	1 Introduction
		1.1 Impacts of Attack
	2 Review on IoT Security Solutions
		2.1 Classification Hierarchy of DOS
	3 Methodology
		3.1 Experimental Setup for the IoT Smart Switch
		3.2 Flow of the Experimental Setup
		3.3 Request Capturing Security Mechanism (RCSM)
	4 Results and Experiments
		4.1 Attack Scenario
		4.2 Mitigating Attacks
	5 Conclusion and Future Work
	References
Identifying the Impacts of Node Mobility on Network Layer Based Active and Passive Attacks in Mobile Ad Hoc Networks: A Simulation Perspective
	1 Introduction
	2 Literature Review
	3 State of the Art
	4 Methodology
	5 Results and Discussion
	6 Conclusion and Future Works
	References
Simulated Analysis of Double-Gate MOSFET and FinFET Structure Using High-k Materials
	1 Introduction
	2 Short Channel Effects (SCEs)
	3 Double-Gate MOSFET Device Structure
	4 FinFET Device Structure
	5 Performance Evaluation by High-k Materials
		5.1 Concept of High-k Dielectrics
		5.2 Choice of High-k Oxide
		5.3 The Observed Design
	6 Implementation
	7 Simulation Results
	8 Conclusion
	9 Future Scope
	References
Correction to: RC-Security Mechanism to Prevent Attacks on IoT Smart Switch
	Correction to: Chapter “RC-Security Mechanism to Prevent Attacks on IoT Smart Switch” in: N. Chaubey et al. (Eds.): Computing Science, Communication and Security, CCIS 1416, https://doi.org/10.1007/978-3-030-76776-1_17
Author Index