دانلود کتاب Information Security Handbook (Internet of Everything (IoE))

فهرست مطالب :

Cover
Half Title
Series Page
Title Page
Copyright Page
Contents
Preface
Editor Biographies
Contributors
1. SC-MCHMP: Score-Based Cluster Level Hybrid Multi-Channel MAC Protocol for Wireless Sensor Network
1.1 Introduction
1.2 Literature Survey
1.3 Proposed Work
1.3.1 Procedure of Routing Mechanism
1.3.1.1 1-Hop Discovery
1.3.1.2 Metric Calculation
1.3.1.3 Link Score Calculation
1.3.1.4 Source Selection
1.3.2 CSMA/CA
1.3.3 TDMA
1.3.4 FDMA
1.4 Results and Discussion
1.5 Conclusion
References
2. Software-Defined Networking (SDN) Security Concerns
2.1 Introduction
2.2 Potential Anomalies in SDN
2.2.1 Unauthorized Access
2.2.2 Malicious Application
2.2.3 Network Manipulation
2.2.4 Traffic Diversion
2.2.5 Denial of Service (DoS)
2.2.6 Configuration Issues
2.2.7 Data Leakage
2.3 Security Analyses and Research Challenges
2.3.1 SDN Security Analyses
2.3.2 Scenarios
2.3.2.1 Scenario 1
2.3.2.2 Scenario 2
2.3.2.3 Scenario 3
2.3.3 Research Challenges
2.4 Conclusion
References
3. Clustering in Wireless Sensor Networks Using Adaptive Neuro-Fuzzy Inference Logic
3.1 Introduction
3.2 Related Work
3.3 Proposed Work
3.4 Simulation Results
3.5 Conclusion and Future Scope
References
4. Security in Big Data
4.1 Big Data
4.1.1 Volume - The Size of Data
4.1.2 Variety - Different Forms of Data
4.1.3 Velocity - Speed of Data Generation
4.1.4 Value - Data\'s Worth
4.1.5 Veracity - Data Uncertainty
4.1.6 Variability - Data Inconsistency
4.1.7 Visualization - Data Representation
4.1.8 Volatility - How Long to Store Data
4.1.9 Validity - Data Use
4.2 Data Sources of Big Data
4.3 Architecture
4.3.1 Data Source
4.3.2 Ingestion
4.3.3 Storage Layer
4.3.4 Staging
4.3.5 Data Pipeline
4.3.6 Data and Workflow Management
4.3.7 Data Access
4.4 Big Data Challenges
4.5 Big Data Analytics Challenges in Big Data
4.6 Technical Challenges in Big Data
4.7 Characteristics-Oriented Challenges of Big Data
4.7.1 Data Volume
4.7.2 Data Velocity
4.7.3 Data Variety
4.7.4 Data Value
4.8 Privacy Challenges
4.9 Security Challenges
4.10 Current Security Challenges in Big Data
4.10.1 Big Data Security - A Definition
4.10.2 Case Studies of Security Breaches Depicting Their Impact on Organizations
4.11 Major Security Issues of Big Data
4.11.1 Distributed Frameworks Security
4.11.2 Nonrelational Data Stores Protection
4.11.3 Storage Security
4.11.4 Monitoring Real-Time Security
4.11.5 Privacy-Preserving Data Analytics and Mining
4.11.6 Granular Audit
4.11.7 End-Point Security
4.11.8 Data-Centric Security Based on Cryptography
4.12 Solutions to Security Challenges
4.12.1 Complete Data Supervision of Social Networks
4.12.2 Improvement in Legal Mechanism
4.12.3 Improvement to People Awareness of Data Quality
4.12.4 Put Security First
4.13 Conclusion
References
5. Prevention of DOS/DDOS Attacks Through Expert Honey Mesh Security Infrastructure
5.1 Introduction
5.1.1 Types of DDOS Attacks
5.1.1.1 Direct Flooding Attacks
5.1.1.2 Remote-Controlled Network Attacks
5.1.1.3 Reflective Flooding Attacks
5.1.1.4 Protocol Violation Attacks
5.1.1.5 Fragmentation Attacks
5.1.1.6 Network Infrastructure Attacks
5.2 Working of DDOS Attacks
5.2.1 Using a Botnet \"Botnet\" to Launch a DDOS Attack
5.2.2 Prevention Measures of DDOS Attacks
5.2.3 Never Overestimate the Defenses of the Network
5.2.4 Create a Reference Model to Better Identify Active Attacks
5.2.5 Apply the Latest Patches of Suppliers
5.2.6 Secure the IoT Devices
5.2.7 Deploy a Solution for the Mitigation of DDOS Attacks Dedicated
5.2.8 Reduce the Attack Surface
5.2.9 Plan the Scaling
5.2.10 Implement Firewalls for Sophisticated Application Attacks
5.3 Methodology
5.3.1 Introduction to Expert Honey Mesh System
5.3.2 Creation of Honey Pots
5.3.3 Implementation of Honey Pot
5.4 Proposed System
5.4.1 Working of Proposed System
5.4.1.1 Detection and Prevention of DDOS Attack Via Our Proposed System
5.5 Experimental Result
5.5.1 Simulation
5.5.2 DDOS Attack Launched on Website
5.5.3 Increase in the Volume of Attacks and Distribution Over Time
5.5.4 Prevention of DDOS Attack Via Fuzzy Logic Mechanism
5.5.4.1 Fuzzy-Logic Rules
5.5.5 Implementation of Fuzzy-Logic Rules for Prevention of DDOS Attacks
5.5.6 Advantages and Future Enhancements
5.6 Conclusion
References
6. Efficient Feature Grouping for IDS Using Clustering Algorithms in Detecting Known/Unknown Attacks
6.1 Introduction
6.2 Related Work
6.3 Design Methodology
6.4 Applications and Future Work
6.5 Conclusion
References
7. PDF Malware Classifiers - A Survey, Future Directions and Recommended Methodology
7.1 Introduction
7.2 X-Ray of PDF File
7.3 Reading of PDF Files
7.4 Steps Involved in Classifying PDF Files
7.4.1 Prior Procedure Before the Actual Parsing
7.4.2 Feature Extraction
7.4.3 Classifier
7.5 Modes of Classification
7.6 Static Classification of PDF Files
7.7 Static Classification Systems
7.7.1 PJScan
7.7.2 N-Gram
7.7.3 Slayer
7.7.4 N-Gram II
7.7.5 PDFrate v1
7.7.6 Hidost
7.7.7 Slayer NEO
7.7.8 PDFrate v2
7.8 Comparison Between the Different Static Classifiers
7.9 Dynamic Classification of PDF Files
7.10 Dynamic Classification Systems
7.10.1 PlatPal
7.10.2 MDScan
7.10.3 WepaWet
7.10.4 PDF Scrutinizer
7.10.5 Lux0R
7.11 Comparison Between Different Dynamic Classifiers
7.12 Novel Methodologies
7.13 Conclusions and Future Directions
References
8. Key Authentication Schemes for Medical Cyber Physical System
8.1 Introduction
8.2 Security Objectives for Medical CPS
8.2.1 Mutual Authentication
8.2.2 Data Freshness
8.2.3 Forward Security
8.2.4 Data Authenticity
8.2.5 Data Integrity
8.2.6 Data Confidentiality
8.2.7 Unforgeability
8.2.8 Scalability
8.3 Security Challenges for Medical CPS
8.3.1 Resource Constraint (Gupta et al., 2019)
8.3.2 Denial of Service Attack (Alguliyev et al., 2018)
8.3.3 Impersonation Attack (Xu et al., 2019a,b)
8.3.4 Replay Attack (Kompara et al., 2019)
8.3.5 Eavesdropping Attack (Shen et al., 2018)
8.3.6 Compromised Nodes and Clone Attack (Xu et al., 2019a,b)
8.3.7 Anonymous and Unlinkable Sessions (Kompara et al., 2019)
8.3.8 Desynchronization/Jamming Attack (Liu & Chung, 2017)
8.4 Types of Key Authentication Schemes for Medical CPS
8.4.1 Physiological-Based Key Authentication Schemes
8.4.2 Cryptographic-Based Authentication Schemes
8.4.2.1 Pre-deployed Authentication Schemes
8.4.2.2 Asymmetric Authentication Schemes
8.4.3 Hybrid Authentication Schemes
8.4.4 Channel-Based Authentication Schemes
8.5 Conclusion and Future Research Direction
References
9. Ransomware Attack: Threats & Different Detection Technique
9.1 Introduction
9.2 Related Study
9.3 Materials & Methods
9.3.1 Algorithms Used for Ransomware/Malware Detection
9.4 Analysis
9.5 Practical Implication
9.6 Conclusion
References
10. Security Management System (SMS)
10.1 Introduction
10.2 Application of Information Security in Corporations
10.2.1 Information Security Components: Confidentiality, Integrity, Availability (CIA)
10.2.1.1 Confidentiality
10.2.1.2 Integrity
10.2.1.3 Availability
10.3 Information Security Incidents [11]
10.4 Common Attacks on CIA Triad [12]
10.5 Information Security Management
10.6 Security Management System
10.7 Basis of Security Management System
10.7.1 Risk Management
10.7.2 Risk Assessment
10.7.3 Challenges for Risk Assessment
10.8 Some Other Essentials for SMS
10.9 Steps Involved in the Infrastructures of the SMS
10.10 System Development and Maintenance
10.11 Business Continuity Management
10.12 Security Management System Components
10.13 Security Management System Domains
10.13.1 ISO/IEC 27001
10.13.1.1 History of ISO/IEC 27001
10.13.1.2 PDCA Model
10.13.1.3 Changes in ISO/IEC 27001 in 2013 Version
10.14 Security Controls [35]
10.15 Certification
10.16 SMS (ISO/IEC 27001) Audits [23]
10.16.1 Benefits of ISO/IEC 27001
10.17 Security Management System Challenges
10.18 Conclusion
References
11. Automatic Street Light Control Based on Pedestrian and Automobile Detection
11.1 Introduction
11.2 Background of the Invention
11.3 Literature Review
11.4 Circuit Diagram
11.4.1 Major Components Used
11.5 Architecture Diagram
11.6 Proposed Work
11.6.1 Instructions
11.7 Results and Discussion
11.7.1 Usage of Automatic Street Lights
11.7.2 Feasibility and Cost Effectiveness
11.7.3 Used in Versatile Areas
11.7.4 Large-Scale Manufacturing
11.7.5 Merging with AI and IoT
11.7.6 Stability and Emergency
11.7.7 Security Protocols
11.8 Conclusion & Future Works
References
12. Cost-Oriented Electronic Voting System Using Hashing Function with Digital Persona
12.1 Introduction
12.2 Literature Review
12.3 Proposed Method
12.3.1 System Requirements
12.3.2 System Architecture
12.3.3 System Modules
12.3.4 System Modeling
12.4 Working Procedure
12.4.1 Election Participants
12.4.2 Election Process
12.4.3 Generate Results
12.5 Discussion and Findings
12.5.1 Outcome of Proposed Voting System
12.5.2 Existing Voting System of Pakistan with Proposed System
12.5.3 Optimization in Multiple Enhancement Factors in Proposed System
12.6 Conclusion
12.7 Future Work
Reference
13. Blockchain-Based Supply Chain System Using Intelligent Chatbot with IoT-RFID
13.1 Introduction
13.2 Background
13.2.1 Ethereum
13.2.2 Hyperledger Fabric
13.3 Chatbot with Blockchain
13.3.1 IOT (Internet of Things)
13.3.2 RFID Chips
13.3.3 RFID with Blockchain
13.3.4 Modern Supply Chain
13.4 Problem Statement
13.5 Literature Review
13.6 Methodology
13.7 Conclusion
References
Index