Cyber Security, Privacy and Networking: Proceedings of ICSPN 2021

Description

This book covers selected high-quality research papers presented in the International Conference on Cyber Security, Privacy and Networking (ICSPN 2021), organized during 17-19 September 2021 in India in Online mode. The objectives of ICSPN 2021 is to provide a premier international platform for deliberations on strategies, recent trends, innovative approaches, discussions and presentations on the most recent cyber security, privacy and networking challenges and developments from the perspective of providing security awareness and its best practices for the real world. Moreover, the motivation to organize this conference is to promote research by sharing innovative ideas among all levels of the scientific community, and to provide opportunities to develop creative solutions to various security, privacy and networking problems. Organization Preface Contents Editors and Contributors A New Modified MD5-224 Bits Hash Function and an Efficient Message Authentication Code Based on Quasigroups 1 Introduction 1.1 Hash Function Without a Key 1.2 Hash Function with Key or HMAC 2 Preliminaries 2.1 Quasigroup 2.2 Optimal Quasigroups 2.3 Brief Description of MD5 3 Proposed Schemes 3.1 Quasigroup Expansion (QGExp) Operation 3.2 Quasigroup Compression (QGComp) Operation 4 Implementation and Software Performance 5 Security Analysis 5.1 Analysis of QGMD5 5.2 Collision Resistance 5.3 Avalanche Effect 5.4 Analysis of QGMAC 6 Conclusions References Leveraging Transfer Learning for Effective Recognition of Emotions from Images: A Review 1 Introduction 2 Contributions by Researchers on Human Facial Emotion Recognition 2.1 Feature Extraction Methods 2.2 Classification 2.3 Transfer Learning 3 Methodology 3.1 Dataset 3.2 Data Preprocessing 3.3 Model Architectures 3.4 Experimental Study 4 Experimental Study and Comparison 5 Conclusion and Future Work References An Automated System for Facial Mask Detection and Face Recognition During COVID-19 Pandemic 1 Introduction 2 Related Work 3 Methodology 3.1 Image Preprocessing 3.2 Deep Learning Architecture 3.3 Face Recognition Module 4 Algorithm Used in Proposed model 4.1 Convolutional Neural Network (CNN) 4.2 Haar Cascade Algorithm 5 Limitations and Future Works 6 RESULTS 6.1 Face Mask Detection Module 6.2 Face Recognition Module 7 Conclusion References ROS Simulation-Based Autonomous Navigation Systems and Object Detection 1 Introduction 2 Related Work 3 Robot and Environment 4 Software and Platforms 4.1 ROS 4.2 RDS 4.3 RVIZ 5 ROS Autonomous Navigation 5.1 Map Creation 5.2 Localization 5.3 Path Planning 6 Object Detection 7 Results 7.1 Room Map Creation 7.2 Object Detection 7.3 Navigation 8 Conclusion and Further Work References Robotic Assistant for Medicine and Food Delivery in Healthcare 1 Introduction 2 The Robot 2.1 The Mechanical Implementation 2.2 Omnidirectional Wheels 2.3 Inverse Kinematic Model 3 Control system of the robot 3.1 Rotary Encoders 3.2 Proximity Sensors 3.3 Gyroscope 4 Testing of the Robot 5 Future work 6 Conclusions References Privacy-Preserving Record Linkage with Block-Chains 1 Introduction 2 Related Work 3 Proposed Approach 3.1 Privacy-Preserving Record Linkage 3.2 Partial De-identification at Source 4 System Design 4.1 Service 1 4.2 Service 2 5 Performance Analysis 6 Security Analysis 7 Conclusion References Performance Analysis of Rectangular QAM Schemes Over Various Fading Channels 1 Introduction 2 Rectangular Quadrature Amplitude Modulation 3 Error Probability Analysis for RQAM Over Fading Channels 3.1 Rayleigh Fading Model 3.2 Rician Fading Model 3.3 Nakagami-m Fading Model 3.4 Log-Normal Fading Model 4 Simulation and Results 5 Conclusion and Future Work References New Symmetric Key Cipher Based on Quasigroup 1 Introduction 2 Preliminaries 2.1 Latin Squares 2.2 Quasigroup 2.3 Encryption and Decryption Using Quasigroups 2.4 Advanced Encryption Standard 3 Proposed Cipher Algorithm Structure 3.1 Quasigroup Selection 3.2 Keystream Generation 3.3 Encryption Algorithm 3.4 Decryption Algorithm 4 Security Analysis 4.1 Statistical Test for Randomness 5 Conclusion References Validate Merchant Server for Secure Payment Using Key Distribution 1 Introduction 1.1 The Objectives of the Proposed Work Are 2 Related Works 3 System Model 3.1 Bilinear Mapping 3.2 Merchant Server Registration Process 3.3 Admin Server Process 3.4 Payment Request from Mobile User 3.5 Cloud Matching Process 4 Security Analysis of System Model 4.1 Man-in-Middle Attack 4.2 Impersonation Attack 5 Performance Analysis 6 Conclusions and Future Works References Extractive Text Summarization Using Feature-Based Unsupervised RBM Method 1 Introduction 2 Literature Survey 3 Proposed Methodology 3.1 Data Pre-processing 3.2 Feature Extraction 3.3 Restricted Boltzmann Machine 3.4 Summary Generation 4 Result and Discussion 5 Conclusion References Depression and Suicide Prediction Using Natural Language Processing and Machine Learning 1 Introduction 2 Related Work 2.1 Challenges 3 Dataset Description and Processing 3.1 Dataset Preprocessing 4 Methodology 4.1 Machine Learning Classifiers 5 Results and Experiments 6 Conclusion References Automatic Detection of Diabetic Retinopathy on the Edge 1 Introduction 2 Related Work 3 Dataset and Pre-processing 4 Methods 4.1 ResNet 50 4.2 InceptionV3 4.3 EfficientNet B5 and B6 4.4 VGG19 5 Performance and Result 6 Deployment on the Edge 7 Conclusion and Future Scope References A Survey on IoT Security: Security Threads and Analysis of Botnet Attacks Over IoT and Avoidance 1 Introduction 1.1 IoT Security Architecture 2 Sources of Security Threats in IoT Applications 2.1 Security Issues at Sensing/Physical Layer 2.2 Security Issues at Data Link Layer 2.3 Security Issues at Network Layer 2.4 Security Issues at Application Layer 3 Common Attacks on IoT Devices 4 Evolution of Botnet 4.1 Traditional Botnets 4.2 IoT-Based Botnets 4.3 Different Botnet Attacks 4.4 IoT Botnet Monitoring System (IBMS) 4.5 Bargaining and Negotiation Methodology for Botnet Identification 5 Conclusion and Future Enhancement References A Coherent Approach to Analyze Sentiment of Cryptocurrency 1 Introduction 2 Background 2.1 Cryptocurrency and Blockchain Technology 2.2 Twitter 2.3 Sentiment Analysis 3 Related Works 4 Data 5 Methods 5.1 Sentiment Analysis Using TextBlob and VADER 5.2 Incorporating the Output of both the VADER and TextBlob into One 6 Results 7 Conclusions and Future Plans References Supervised Machine Learning Algorithms Based on Classification for Detection of Distributed Denial of Service Attacks in SDN-Enabled Cloud Computing 1 Introduction 2 Related Work 3 Proposed Detection Method 3.1 Naive Bayes 3.2 Support Vector Machines 4 Implementation 5 Result and Discussion 6 Conclusion References Edge Computing-Based DDoS Attack Detection for Intelligent Transportation Systems 1 Introduction 2 Related Work 3 Proposed Mythology 3.1 Entropy Calculation Phase 3.2 Machine Learning Phase 4 Results and Analysis 4.1 Dataset Generation and Preprocessing 4.2 Machine Learning Analysis 5 Research Challenges 5.1 Network Slicing and Splitting 5.2 Side Channel Attack Protection 5.3 SDN-Based Detection 6 Conclusions and Future Work References An Empirical Study of Secure and Complex Variants of RSA Scheme 1 Introduction 2 Standard RSA Algorithm 3 Literature Review 3.1 RSA Based on Multiplicity of Public and Private Keys 3.2 Modified RSA Cryptosystem Based on `n' Prime Numbers 3.3 Enhanced RSA (ERSA) 4 Implementation Results and Analysis of Existing Works 4.1 Performance Analysis 5 A Multipoint Extended and Secured Parallel RSA Scheme 5.1 Proposed Algorithm 6 Conclusion and Future Scope References Text Normalization Through Neural Models in Generating Text Summary for Various Speech Synthesis Applications 1 Introduction 2 Text Normalization Is a Complex Task 3 Previous Approaches to Text Normalization 3.1 Standard Approaches 3.2 Various Other Approaches 4 Proposed Model 5 Various Models 5.1 Segmentation 5.2 Two-Sliding Window Model 5.3 Provisional Sequence to Sequence Models 6 Universal Language Feature Covering Grammars from Various Details 7 Sample Results 8 Conclusion References Classification of Network Intrusion Detection System Using Deep Learning 1 Introduction 2 Literature Work 3 About Dataset 3.1 Data Preprocessing 4 Evaluation Metrics 5 Proposed Methodology 6 Conclusion References Toward Big Data Various Challenges and Trending Applications 1 Introduction 2 Big Data Processing Varieties 3 Big Data Challenges 4 Related Work 5 Applications Using Big Data 6 Conclusion References Convolutional Neural Network-Based Approach to Detect COVID-19 from Chest X-Ray Images 1 Introduction 1.1 Interdisciplinary 1.2 Library of Programming Function 1.3 Image Diagnosis 1.4 Edge Detection 2 Related Works 3 Existing System Architecture 4 Proposed System Architecture 4.1 Feature Engineering 5 Proposed Work 5.1 Proposed Methodology 6 Analysis of the Proposed Scheme 7 Performance Analysis of the Proposed Scheme 8 Conclusion References Classification of Medical Health Records Using Convolutional Neural Networks for Optimal Diagnosis 1 Introduction 2 Background 3 Objectives 4 Proposed Process Flow 5 Methodology 5.1 Dataset Collection 5.2 Preprocessing 6 Model Building 7 Code Snippet 8 Analysis of Model Performance 9 Conclusion and Future Scope References Smart Farming Using IoT Sensors 1 Introduction 2 Proposed Methodology 2.1 Disease Detection in Banana Plant 3 Result and Discussion 3.1 Water Flow Rate 3.2 Banana Leaf Monitoring 3.3 Android Application 4 Conclusion References Securing the Smart Devices in Home Automation System 1 Introduction 2 Proposed Methodology 3 AES Algorithm Explanation 4 Results Analysis 4.1 Removing of Devices 4.2 Cloud-Based Solution 5 Conclusion References Dual-Channel Convolutional Recurrent Networks for Session-Based Recommendation 1 Introduction 1.1 Related Work 2 The Proposed Approach 3 Experiments and Analysis 4 Conclusion References Reuse Your Old Smartphone: Automatic Surveillance Camera Application 1 Introduction 1.1 Related Work 2 The Automatic Surveillance Camera Application—iEye 2.1 Live Video Streaming 2.2 Detection Components 2.3 User-Defined Detection Event 2.4 Notification System 3 Preliminary Evaluation 4 Conclusion and Future Work References A Model of UAV-Based Waste Monitoring System for Urban Areas 1 Introduction 2 Related Work 3 The Model of the System 3.1 Supervisor Drone 3.2 Control Center and the Communication System 4 The Path Definition 5 Conclusion References A Secure Multicontroller SDN Blockchain Model for IoT Infrastructure 1 Introduction 2 Literature Survey 3 Proposed Method 4 Methodology 4.1 Trusted MCB-SDN Node 4.2 Reputation and Consensus MCB-SDN Mechanism 4.3 Attack MultiController 4.4 The Consensus Ci Is Evaluated by the Miner Controllers Based on the Consensus Outcome 4.5 The Amount of Ri Is Calculated in the Following Way 4.6 Both Good and Negative Memories Are Remembered at the Same Pace When the Fixed Fading Factor Is Used. Let Us Have a Look at This Link Scenario 5 Results and Discussions 5.1 The Performance Calculations Are Used to Assess BMC-Performance SDNs in This Category 6 Conclusion and Future Work References A Recent Survey on Cybercrime and Its Defensive Mechanism 1 Introduction 2 Related Work 3 Classification of Cybercrimes 3.1 Cybercrimes Based on Target Size 3.2 Cybercrimes Based on Crime 4 Defensive Mechanisms Against Cybercrime 4.1 Information Assurance 4.2 To Implement Defense in Deep Plan of Action 4.3 Education 5 Conclusion References A Hybrid Feature Selection Approach-Based Android Malware Detection Framework Using Machine Learning Techniques 1 Introduction 2 Related Work 3 Hybrid Feature Selection Approach-Based Android Malware Detection Framework 3.1 Data Preprocessing 3.2 Wrapping Approach 3.3 Machine Learning Algorithm 4 Result Analysis and Discussion 4.1 Experimental Setup and Evaluation Parameter 4.2 Static Layer Malware Category Detection 4.3 Dynamic Layer Malware Category Detection 5 Conclusion References Security of Big Data: Threats and Different Approaches Towards Big Data Security 1 Introduction 1.1 Ten Vs of Big Data 1.2 Big Data Analytics 1.3 Applications of Big Data 1.4 Challenges with Big Data 2 Big Data Security: A Multifaceted Challenge 2.1 Issues 3 Security-Based Literature Survey 3.1 Existing Approaches to Handle the Big Data Security 4 Conclusion References Segmentation of Image Using Hybrid K-means Algorithm 1 Introduction 2 Related Work 2.1 K-means Clustering Algorithm 3 Proposed Method 4 Result and Discussion 5 Conclusions References A Chatbot for Promoting Cybersecurity Awareness 1 Introduction 2 Design of the Chatbot 2.1 Architecture 2.2 Message Handling 2.3 Supported Features 3 Preliminary Evaluation 4 Conclusion and Future Work References An Advanced Irrigation System Using Cloud-Based IoT Platform ThingSpeak 1 Introduction 1.1 Motivation 1.2 Literature Review 2 System Design and Implementation 3 Results and Discussion 4 Conclusion References Index