
Mobile Internet Security
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This book constitutes revised selected papers of the 8th International Conference on Mobile Internet Security, MobiSec 2024, held in Sapporo, Japan, during December 17-19, 2024.
The 28 full papers presented in this volume were carefully reviewed and selected from 93 submissions.
They were grouped into the following topics: Cryptography; Cyber-Physical Systems / IoT Applications in Smart Environments; Identification and Authentication; Machine Learning-Based Security; Network Design and Security.
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Content
.- Cryptography.
.- Analysis of Backdoored (Classic) McEliece in a Multi-User Setting.
.- PRNG-Oriented Side-Channel Security Evaluation for TI-AES.
.- A High-Security Image Steganography System Employing Multiple Edge Detectors.
.- Efficient and Secure CSIDH using Relation Lattices.
.- Utilizing LLM Chatbots for Formal Descriptions of Cryptographic Protocols.
.- A Study on Parallel Tuple Sieve Algorithm.
.- A Blockchain-Based Approach for Secure Email Encryption with Variable ECC Key Lengths
Selection.
.- The Amplified Boomerang Attack on ChaCha.
.- Bidirectional Proxy Re-Encryption Based on Isogenies.
.- Cyber-Physical Systems / IoT Applications in Smart Environments.
.- Early Heavy Rain Warning System by Cloud based Micrometeorological Data and Geographical
Conditions with Numerous IoT Sensors.
.- Identification and Authentication.
.- Administration of Environment Aware Deep Learning Based Access Contro.
.- Securing Authentication and Authorization in Computing Continuum.
.- Machine Learning-Based Security.
.- ADL: A Method of Attack Detection with LLM by Assigning Traffic Sequencing in 5G IoT.
.- CAFL: Contrastive Learning and Self-Attention in Federated Learning.
.- A DDoS Attack Detection Method Based on an Ensemble of Small Models for Multi-Layer
Satellite Networks.
.- A Comprehensive Study of Machine Learning Techniques for Malicious URL Detection in
Cybersecurity.
.- A Color-Based Data Poisoning Backdoor Approach for Misleading Adversarial Privacy
Prediction.
.- FLARE: A Blockchain Strategy for Hierarchical Federated Learning Algorithms.
.- An Enhanced Payload Image Steganography Employing Hybrid Edge Detection Technique and
MSB Cover Image.
.- Lightweight Object-detection Model on Edge Devices for Safety and Security Applications.
.- Network Design and Security.
.- QoE-Driven Spot Pricing Schemes For Edge User Allocation Across the Distributed Cloud-Edge
Continuum.
.- A Three-Pronged Approach to Malicious APK: Combining Snort, Wireshark, and Wazuh for
Advanced Threat Management.
.- Enhancing Security with Virtualization and Real-time Communications for Applications on
Autonomous Vehicles.
.- Resilient Multi-Path Aggregation Transmission Mechanism for Bandwidth Enhancement.
.- Stepping-Stone Intrusion Detection and its Development Trend.
.- Toward Correctness by Construction for Network Security Configuration.
.- A Novel Framework for Route Recommendation in Cooperative Vehicle Systems: The SHAFA
Model.
.- Evaluation of a Startup Program Identification for Efficient and Accurate IoT Security
Investigations.
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