Ubiquitous Security: First International Conference, Ubisec 2021, Guangzhou, China, December 28-31, 2021, Revised Selected Papers

ISBN-13: 9789811904677 / Angielski / Miękka / 2022 / 400 str.

Wang, Guojun

Opis

This volume constitutes selected papers presented at the First Inernational Conference on Ubiquitous Security, UbiSec 2021, held in Guangzhou, China, in December 2021.

The presented 26 full papers and 2 short papers were thoroughly reviewed and selected from the 96 submissions. They focus on security, privacy and anonymity aspects in cyberspace, physical world, and social networks.

Spis treści

 A Backdoor Embedding Method for Backdoor Detection in Deep Neural Networks.- Security and Privacy for Sharing Electronic Medical Records Based on Blockchain and Federated Learning.- A Fine-grained Access Control Scheme for Electronic Health Records Based on Roles and Attributes.- Active Malicious Accounts Detection with Multimodal Fusion Machine Learning Algorithm.- Evaluation of an Anomaly Detector for Routers using Parameterizable Malware in an IoT Ecosystem.- PUFloc: PUF and Location Based Hierarchical Mutual Authentication Protocol for Surveillance Drone Networks.- Smart Search over Encrypted Educational Resources in Cloud Storage.- SDGen: A Scalable, Reproducible and Flexible Approach to Generate Real World Cyber Security Datasets.- Towards a Location-Aware Blockchain-Based Solution to Distinguish Fake News in Social Media.- Using Streaming Data Algorithm for Intrusion Detection on the Vehicular Controller Area Network.- Privacy-Enhanced Mean-Variance Scheme Against Malicious Signature Attacks in Smart Grids Privacy-preserving Cluster Validity.- A Large-Scale Study on the Security Vulnerabilities of Cloud Deployments Design & Architecture of Progger 3: A Low-Overhead, Tamper-Proof Provenance System.- Skill Reward for Safe Deep Reinforcement Learning.- Generalizing Supervised Learning for Intrusion Detection in IoT Mesh Networks.- Reliable and Controllable Data Sharing Based on Blockchain,. A Network Forensics Investigating Method Based on Weak Consistency for Distributed SDN.- Intrusion Detection System Based on Deep Neural Network and Incremental Learning for In-Vehicle CAN Networks.- Towards a Two-tier Architecture for Privacy-enabled Recommender Systems (PeRS).- A Supervised Rare Anomaly Detection Technique via Cooperative Co-Evolution-Based Feature Selection using Benchmark UNSW_NB15 Dataset.- Towards Evaluating the Effectiveness of Botnet Detection Techniques.- A Robust Malware Detection Approach for Android System based on Ensemble Learning.- A Reverse Auction Based Efficient D2D Transmission Mechanism for Ubiquitous Power Terminals.- A Fine-tuning Strategy Based on Real Scenes in Gait Identification An Online Automated Anti-Anti-Virus Method.- Research on Bandwidth Reservation Algorithm of Teaching Resources in Cloud Computing Environment.- An Edge-Cloud Collaborative Object Detection System.