Security and Privacy in Communication Networks
Springer International Publishing (Verlag)
978-3-031-94444-4 (ISBN)
This four-volume set LNISCT 627-630 constitutes the proceedings of the 20th EAI International Conference on Security and Privacy in Communication Networks, SecureComm 2024, held in Dubai, United Arab Emirates during October 28 - 30, 2024.
The 81 full papers were carefully reviewed and selected from 225 submissions. The proceedings focus on
Privacy and Cryptography
AI for cybersecurity and Adversial models
Quantum Computing in Cybersecurity
Network Security
Blockchain and Cryptocurrencies
Fuzzing and IoT security
Malware and Attack Analysis
Web Security
Authentication
Large Language Model for Cybersecurity
Security Assessments
Privacy and Cryptography.- Byzantine Robust Federated Learning for Unreliable Environments by Random-Matching Verification and Credibility Table.- PPSA: Polynomial Private Stream Aggregation for Time Series Data Analysis.- SPADE: Digging into Selective and PArtial DEcryption using Functional Encryption.- Stuck in the SAND: When Your Neighbor Becomes Your Enemy.- Optimized Privacy Preserving Clustering with Fully Homomorphic Encryption.- Noya: An Efficient, Flexible and Secure CNN Inference Model based on Homomorphic Encryption.- OCE PTree: An Online Communication Efficient Privacy preserving Decision Tree Evaluation.- An Effective Multiple Private Set Intersection.- BCPIR: More Efficient Keyword PIR via Block Building Codewords.- Embedding optimized Steganography Based on Post-quantum Encryption and BPNN.- AI for cybersecurity and Adversial models.- Enhancing Runtime Application Self Protection with Unsupervised Deep Learning.- Optical Lens Attack on Deep Learning Based Monocular Depth Estimation.- RootES: A Method for Generating Text Adversarial Examples Using Root Embedding Space.- Boosting GAN Performance: Feature Transformation for Heavy Tailed Malware Data Generation.- SPC-GAN-Attack: Attacking Slide Puzzle CAPTCHAs by Human Like Sliding Trajectories Based on Generative Adversarial Network.- Improving Interpretability: Visual Analysis of Deep Learning Based Multi Channel Attacks.- Deep Reinforcement Learning from Drifting Network Environments in Anomaly Detection.- A Comparative Study on Source Code Attribution Using AI: Datasets, Features, and Techniques.- Quantum Computing in Cybersecurity.- Harnessing the Power of Quantum Computing for URL Classification: A Comprehensive Study.- Comprehensive Classification and Analysis of Cyber Attack Surface on Quantum Key Distribution Networks.- A Secure Blockchain Network with Quantum Key Encryption and Authentication.
| Erscheinungsdatum | 23.07.2025 |
|---|---|
| Reihe/Serie | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Zusatzinfo | XV, 416 p. 142 illus., 117 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Netzwerke ► Sicherheit / Firewall |
| Schlagworte | adversarial attacks • AI for Cybersecurity • authentication • Blockchain • cryptography • IoT security • malware analysis • Network Security • privacy • Quantum Computing in Cybersecurity • Security Assessments • vulnerability analysis • web security |
| ISBN-10 | 3-031-94444-5 / 3031944445 |
| ISBN-13 | 978-3-031-94444-4 / 9783031944444 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
