Security and Privacy in Communication Networks: 20th EAI International Conference, SecureComm 2024, Dubai, United Arab Emirates, October 28-30, 2024, Proceedings, Part I

by Saed Alrabaee (Editor), Kim-Kwang Raymond Choo (Editor), Ernesto Damiani (Editor), Robert H. Deng (Editor)

Overview

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

Product Details

ISBN-13:	9783031944451
Publisher:	Springer-Verlag New York, LLC
Publication date:	10/06/2025
Series:	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering , #627
Sold by:	Barnes & Noble
Format:	eBook
File size:	46 MB
Note:	This product may take a few minutes to download.

Table of Contents

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.