This handbook provides a comprehensive collection of knowledge for emerging multidisciplinary research areas such as cybersecurity, IoT, Blockchain, Machine Learning, Data Science, and AI. This book brings together, in one resource, information security across multiple domains.
Information Security Handbook addresses the knowledge for emerging multidisciplinary research. It explores basic and high-level concepts and serves as a manual for industry while also helping beginners to understand both basic and advanced aspects in security-related issues. The handbook explores security and privacy issues through the IoT ecosystem and implications to the real world and, at the same time, explains the concepts of IoT-related technologies, trends, and future directions.
University graduates and postgraduates, as well as research scholars, developers, and end-users, will find this handbook very useful.
Chapter 1 SC-MCHMP: Score-Based Cluster Level Hybrid Multi-Channel MAC Protocol for Wireless Sensor Network
Chapter 2 Software-Defined Networking (SDN) Security Concerns
Chapter 3 Clustering in Wireless Sensor Networks Using Adaptive Neuro-Fuzzy Inference Logic
Chapter 4 Security in Big Data
Chapter 5 Prevention of DOS/DDOS Attacks Through Expert Honey-Mesh Security Infrastructure
Chapter 6 Efficient Feature Grouping for IDS Using Clustering Algorithms in Detecting Known/Unknown Attacks
Chapter 7 PDF Malware Classifiers – A Survey, Future Directions, and Recommended Methodology
Chapter 8 Key Authentication Schemes for Medical Cyber Physical System
Chapter 9 Ransomware Attack: Threats & Different Detection Technique
Chapter 10 Security Management System (SMS)
Chapter 11 Automatic Street Light Control Based on Pedestrian and Automobile Detection
Chapter 12 Cost-Oriented Electronic Voting System Using Hashing Function with Digital Persona
Chapter 13 Blockchain-Based Supply Chain System Using Intelligent Chatbot with IoT-RFID