Computational Intelligent Security in Wireless Communications

Cover
Half Title
Series Page
Title Page
Copyright Page
Table of Contents
Preface
Editors
Acknowledgment
Contributor List
Chapter 1 An investigation on Cooperative Communication Techniques in Mobile Ad-Hoc Networks
	1.1 Introduction
	1.2 Cooperation Techniques
		1.2.1 Crediting Mechanisms
			1.2.1.1 Incentive-based Approach
			1.2.1.2 Reputation Schemes
			1.2.1.3 Hybrid system
			1.2.1.4 Trust-based schemes
		1.2.2 Acknowledgment-based Mechanisms
			1.2.2.1 End-to-End ACK Method
			1.2.2.2 TWO ACK Method
			1.2.2.3 Cryptographic-based signature
		1.2.3 Punishment-based mechanism
			1.2.3.1 Game-Theoretic Approach
			1.2.3.2 Non-cooperative Game-Theoretic Approach
	1.3 Discussion and Evaluation of research findings
	1.4 Conclusion
	References
Chapter 2 IoE-Based Genetic Algorithms and Their Requisition
	2.1 Introduction
	2.2 Need of IoE-Based Genetic Algorithms
	2.3 Basic terminologies related to IoE-based GAs
		2.3.1 Chromosomes
		2.3.2 Population
		2.3.3 Genes
		2.3.4 Allele
		2.3.5 Genotype and Phenotype
	2.4 General Genetic Algorithm
	2.5 Operators in GAs
		2.5.1 Encoding
	2.6 Stopping Condition for the Genetic Algorithm
	2.7 Constraints in the Genetic Algorithm
	2.8 Similarity and Comparison between IoE and IoT
		2.8.1 Similarity between IoE and IoT [58–61]
		2.8.2 IoE vs IoT: What’s the Difference?
	2.9 Problem-Solving Using the GA
	2.10 Advantages
	2.11 IoE-based GA Application
	2.12 Limitations
	2.13 Conclusion
	References
Chapter 3 A Framework for Hybrid WBSN-VANET-based Health Monitoring Systems
	3.1 Introduction
	3.2 Literature Review
	3.3 Proposed Framework
	3.4 Flowchart and Algorithm for the proposed framework
	3.5 Conclusion
	References
Chapter 4 Managing IoT – Cloud-based Security: Needs and Importance
	4.1 Introduction
	4.2 Background
		4.2.1 Cloud computing
			4.2.1.1 Characteristics of Cloud computing
			4.2.1.2 Cloud computing deployment models
			4.2.1.3 Cloud Computing Service Models
		4.2.2 IoT (Internet of things)
			4.2.2.1 Evolution
			4.2.2.2 Architecture of Internet of Things (IoT)
			4.2.2.3 Components of Internet of Things
	4.3 Security challenges in IoT-Cloud
		4.3.1 Challenges of Cloud-Based IoT Integration
	4.4 Literature survey related to IoT-Cloud Security
	4.5 Conclusion
	References
Chapter 5 Predictive Maintenance in Industry 4.0
	5.1 Introduction
	5.2 Related Work
	5.3 Materials and Methods
		5.3.1 Data Set
		5.3.2 Data Insights
		5.3.3 Outlier Detection
	5.4 ML Model Evaluation Metrics
	5.5 Results with the Multinomial Naïve Bayes Algorithm
	5.6 Markov Chain
	5.7 Weibull Process for Predictive Maintenance
	5.8 Discussion and Conclusion
	References
Chapter 6 Fast and Efficient Lightweight Block Ciphers Involving 2d-Key Vectors for Resource-Poor Settings
	6.1 Introduction
	6.2 Fast and Lightweight Block Cipher Model Development for the Resource-poor Healthcare System
	6.3 Mathematical Models and Design Details
		6.3.1 Pseudo-codes for the Cryptic Procedures
	6.4 Exemplification and the Outcomes
		6.4.1 Avalanche Effect Analysis
	6.5 Simulation and Performance Analysis
		6.5.1 Comparative Analysis of Popular Ciphers
	6.6 Cryptanalysis
	6.7 Conclusive Remarks and Future Directions
	Acknowledgments
	Funding
	Contributions
	Corresponding Author
	Ethics Declarations
	References
Chapter 7 Sentiment Analysis of Scraped Consumer Reviews (SASCR) Using Parallel and Distributed Analytics Approaches on Big Data in Cloud Environment
	7.1 Introduction: Background and Driving Forces
	7.2 Big Data
	7.3 Methodology
	7.4 Tool and Techniques
	7.5 System Design
	7.6 Technology Used
	7.7 Result
	7.8 Conclusion
Chapter 8 The UAV-Assisted Wireless Ad hoc Network
	8.1 Introduction
	8.2 Dynamic Mobility Inclusion in a Routing Protocol
	8.3 UAV Placement and Ground Node Grouping
	8.4 Data Dissemination
	8.5 Trajectory Optimization
	8.6 Discussion
	8.7 Summary
	References
Chapter 9 Integrating Cybernetics into Healthcare Systems: Security Perspective
	9.1 Introduction
	9.2 Data Breach in Healthcare
	9.3 Previous Similar Research Initiatives
	9.4 Needs and Importance of Cybernetics in Healthcare Security
	9.5 Challenges
	9.6 Future Works
	9.7 Conclusion
	References
Chapter 10 Threats and Countermeasures in Digital Crime and Cyberterrorism
	10.1 Introduction
	10.2 Literature Review
	10.3 Proposed Framework
	10.4 Data Flow Diagram
	10.5 Countermeasures against Cybercrime and Cyberterrorism
	10.6 Comparative Analysis
	10.7 Application Work
	10.8 Research Implications
	10.9 Research Limitations
	10.10 Conclusion and Future Scope
	References
Chapter 11 Cryptography Techniques for Information Security: A Review
	11.1 Introduction
	11.2 Literature Review
	11.3 Cryptography Techniques
		11.3.1 Substitution Technique
			11.3.1.1 Caesar Cipher
			11.3.1.2 Mono Alphabetic Ciphers
			11.3.1.3 Homophonic Cipher
			11.3.1.4 Polyalphabetic Cipher
			11.3.1.5 Playfair Cipher
		11.3.2 Transposition Technique
			11.3.2.1 Rail Fence Technique
			11.3.2.2 Simple Columnar Technique
	11.4 Discussion
	11.5 Conclusion
	References
Chapter 12 A Critical Analysis of Cyber Threats and Their Global Impact
	12.1 Introduction
	12.2 Classifications of E-crimes
	12.3 Beginning and Growth of E-crimes
	12.4 Advances in Cyber Threats and Computer Crime
		12.4.1 System Exploitation
		12.4.2 Phishing
		12.4.3 A Man-in-the-Middle Attack
		12.4.4 DoS Attack
		12.4.5 Wi-Fi Exploitation
		12.4.6 Ransomware
	12.5 Indian Cyber Situation
	12.6 Cyberattacks in India of Late
	12.7 Global Organizations Fighting against Cybercrime
		12.7.1 Careless Behaviors
			Understanding and optim
			Phishing Emails
	12.8 Conclusion
	References
Chapter 13 A Cybersecurity Perspective of Machine Learning Algorithms
	13.1 Introduction
	13.2 Supervised ML Approaches
		13.2.1 Classification-Based Supervised ML Techniques
		13.2.2 Regression-Based Supervised ML Techniques
	13.3 Unsupervised ML Approaches
		13.3.1 Clustering-Based Unsupervised ML Techniques
		13.3.2 Association-Based Unsupervised ML Techniques
	13.4 Cybersecurity Perspective
	13.5 Conclusion
	References
Chapter 14 Statistical Trend in Cyber Attacks and Security Measures
	14.1 Introduction
		14.1.1 Health Expenditure Indicators and Allocations
		14.1.2 Role Players in the Medical Sector
		14.1.3 Essential Considerations in the Healthcare Domain in Resource-Poor Contexts
			14.1.3.1 Data Sharing among the Medical Sector Players
			14.1.3.2 Rising Usage of Smart Devices among the Key Players of All Sectors
			14.1.3.3 Economic and Educational Advancement of the Users Using Smartphones/Tablets
			14.1.3.4 Need of Lightweight Computing for Maintaining the Data Secrecy of the Patients’ Sensitive Data among the Resource-Poor Nations due to Weak Infrastructures
			14.1.3.5 Adaptable Data-Sharing Protocols and Standards in Resource-Poor Setups
	14.2 Role of Fundamental Elements for Enhancing Healthcare Quality in Resource-Poor Settings
		14.2.1 Adaptive Systems
		14.2.2 Participatory Approach
		14.2.3 Accountability
		14.2.4 Evidence and Audit-Based Intervention
		14.2.5 Innovative Assessment and Evaluation
	14.3 Data Security Threats and Countermeasures
		14.3.1 Classification of Security Threats Breaching the Data Privacy
		14.3.2 Healthcare Data Protection Laws
		14.3.3 Healthcare Sector Security Practices
			14.3.3.1 Database Standards Compliance and Monitoring
			14.3.3.2 Datasets Classification and Assessment of User Rights Management
			14.3.3.3 Data Masking
			14.3.3.4 Data Confidentiality Using Encryption
	14.4 Concluding Remarks
	Contributions
	References
Index