Computing Science, Communication and Security

.- Network and Communication Security.

.- Game-Theoretic and Formal Approaches to Securing Non-Human Accounts in Identity and Access Management.

.- IoT-Based Automated Irrigation with Machine Learning for Crop Recommendation, Soil Classification, and Disease Detection.

.- Image Steganalysis using Siamese Contrastive Learning Network and Pix2Pix GAN with Linear Predictive Coding.

.- A Reinforcement Learning-Based Energy-Aware Hy brid Routing Protocol (RL-EAHR) for Enhancing Net work Lifetime, Scalability, and Resilience in Mobile Ad Hoc Networks (MANETs).

.- A Generative Method for Steganography by Cover Synthesis with Secure System.

.- Secure and Dynamic Routing in Mobile Ad-Hoc Networks through Cryptographic Assurance.

.- Optimizing IoT Networks: Insights from Compara tive Analysis in Terrestrial and Underwater Acoustic En vironments.

.- Enhancing Privacy and Security in Blockchain-Driven NFT Marketplaces Using Zero Knowledge Proof.

.- DeepXDetect: Real-Time Sandbox Malware Detection with Explainable AI.

.- Optimizing Base Station Placement to Minimize Interference for Satellite Terrestrial Networks (STN). 

.- Grouped Photon Quantum Key Distribution: An Improvised BB84 Protocol.

.- Optimized Multi-Process Computing for Efficient Multimodal Biometric Security System.

.- Design, Implementation and Verification of UART with APB Slave Interface using Verilog.

.- An adaptive promiscuous mode-oriented watchdog mechanism with a route rater for secure and reliable route identification in VANETs.

.- Development and UVM-Based Functional Verification of a Scalable & Configurable UART VIP.

.- Design and Verification of a Modified Numerically Controlled Oscillator for Clock Recovery in a Digital SerDes Receiver on an FPGA.

.- Computing Science.

.- Behavioral Biometrics: A Comparison of Keystroke Dynamics and Mouse Trajectories for Bot Detection.

.- A Chaos-Based Technique with Reversible Data Hiding for Enhanced Security of Medical Data.

.- Quantum-Resistant Image Encryption Using Adaptive Signal Transform and Generative Learning.

.- An Exhaustive Analysis of Machine Learning and Deep Learning for Credit Card Fraud Detection: Methodologies, Performance, and Challenges.

.- Real-time Path Deviation Detection System Using Blockchain Technology for Mission Critical Applications.

.- Secure Post-Quantum Authentication for Wearable Healthcare Devices.

.- Optimizing GIF Steganography with Deep Learning for Superior Image Concealment.

.- Deep Learning-Enhanced Boosting-Based Ensemble Model for Phishing Detection.

.- Securing Collaboration: Federated Learning with Homomorphic Encryption.

.- Decentralized Identity Federation Using Blockchain for Cross-Organizational Access.

.- Dynamic GCN-TCN-CapsNet: A Lightweight Hybrid Model for Real-Time Gait Recognition.

.- Smart Lab Optimization using Digital Twins and Ubiquitous Computing.

• Erscheinungsdatum: 16.02.2026
• Autor/Autorin: Nirbhay Chaubey
• Reihe: Springer Nature Proceedings excluding Computer Science
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 36.4 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 386 Seiten
• ISBN: 9783032160386
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.