- ホーム
- > 洋書
- > 英文書
- > Computer / General
Full Description
In the digital age, information is the most vital asset and network technologies are the invisible threads that connect our world. From homes and businesses to smart cities and autonomous vehicles, these technologies enable seamless communication, efficient data processing, and intelligent decision-making across a wide range of applications. Research Advances in Network Technologies: Volume 3 offers a comprehensive exploration of modern network technologies, tracing their evolution from traditional wired systems to cutting-edge wireless solutions such as Bluetooth, satellite networks, and the Internet of Things (IoT). It delves into the transformative impact of software-defined networking, cloud and edge computing, and next-generation cellular technologies like LTE, VoLTE, and 5G. Bridging theory and practice, the book presents real-world case studies, emerging research trends, and future directions in the field. It highlights the contributions of academia and industry in shaping the networked world and addresses the challenges and opportunities that lie ahead.
This book is intended for academics, researchers, developers, engineers, and practitioners engaged in or interested in the research, design, and applications of modern network technologies. It also serves as a valuable reference for professionals working in the domain of computer and cellular networks, and as a resource for graduate and postgraduate students in Computer Science and Engineering, Information Technology, and Electronics and Communication Engineering.
Contents
Chapter 1: A Novel Technique for Security Augmentation of Cryptographic Algorithms. Chapter 2: IoT Smart Parking System Using ESP32. Chapter 3: Multi-Chain NFTs: A Secure and Sustainable Approach to Interoperability in Blockchain. Chapter 4: IoT-Driven Autonomous Sowing Robot for Sustainable and Scalable Crop Production. Chapter 5: Aerial Data Protection Using Blockchain for UAV Communication. Chapter 6: A Blockchain-Integrated Framework for IoV Systems and Autonomous Driving. Chapter 7: Streamlined NDN Routing with Regular Expression Filtering and Traffic Efficiency. Chapter 8: MULE TRACE: AN AI-DRIVEN MODEL FOR DETECTING ILLICIT BANK ACCOUNTS AND PAYMENT WALLETS. Chapter 9: Intelligent Road Lane-Lines Detection in Real Time for Advanced Driving Assistance Systems. Chapter 10: Dynamic Edge Offloading for Congestion Control In Massive Machine-Type Communications. Chapter 11: Intelligent Architecture for Data-Driven Network Traffic Prediction and Adaptive Bandwidth Optimization. Chapter 12: ProtectSIGN: Detection and Anonymization of Sensitive Non-Biometric Identifiers in Publicly-Accessible Multimedia Documents. Chapter 13: Advanced Threat Detection Using Deep Learning. Chapter 14: PolyCode Studio: A Scalable and Secure Cloud-Based Compiler. Chapter 15: A Comparative Study of Code Based Asymmetric Encryption Frameworks for Post Quantum Communication. Chapter 16: Empowering Kubernetes with Artificial Intelligence and Deep Learning for Scalable Cloud and Edge Computing. Chapter 17: Choosing Appropriate Data Structure For E-Commerce Platforms. Chapter 18: Intelligent Edge Computing Framework for Real-Time Environmental Monitoring. Chapter 19: A Comparative Analysis of CI/CD Optimization Techniques: Enhancing DevOps Pipeline Efficiency Through Modern Practices. Chapter 20: Simulation-Based Analysis of Interoperability, Integration, and Management in Smart Device Networks. Chapter 21: Quadratically fast searching in quantum computation: an overview. Chapter 22: Intelligent IoT Healthcare Infrastructure Using HIPCARE Algorithm and Artificial Intelligence Innovations. Chapter 23: Reliable and Efficient Data Transmission in Body Area Networks with Context Aware Hybrid Secure Routing. Chapter 24: Autonomous Resource Orchestration Using Multi-Agent Proximal Policy Optimization in 6G Edge-Fog Environments. Chapter 25: Quantum Powered Cryptographic Enhancements Through Hybrid Approaches in Network Security.
