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.
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.
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