Ubiquitous Security

Second International Conference, UbiSec 2022, Zhangjiajie, China, December 28–31, 2022, Revised Selected Papers

Häftad, Engelska, 2023

AvGuojun Wang,Kim-Kwang Raymond Choo,Jie Wu,Ernesto Damiani

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This book constitutes the refereed proceedings of the Second International Conference, UbiSec 2022, held in Zhangjiajie, China, during December 28–31, 2022. The 34 full papers and 4 short papers included in this book were carefully reviewed and selected from 98 submissions.

Produktinformation

Utgivningsdatum2023-02-16
Mått155 x 235 x 32 mm
Vikt867 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor558
FörlagSpringer Verlag, Singapore
ISBN9789819902712

Tillhör följande kategorier

Tillämpad datateknik inom Data och IT
Hårdvara inom Data och IT
Artificiell intelligens inom Data och IT
Nätverk och kommunikation inom Data och IT
IT-säkerhet inom Data och IT

Cyberspace Security.- Support Tool Selection in Digital Forensics Training.- Listen to the Music: Evaluating the Use of Music in Audio Based Authentication.- A Hybrid Secure Two-party Protocol for Vertical Federated Learning.- Detecting Unknown Vulnerabilities in Smart Contracts with Multi-Label lassification Model Using CNN-BiLSTM.- CATS: A serious game in industry towards stronger cloud security.- Automated Vulnerability Detection in Source Code Using Quantum Natural Language Processing.- System Call Processing Using Lightweight NLP for IoT Behavioral Malware Detection.- Vulnerability Detection with Representation Learning.- Assessing Vulnerability from Its Description.- Malware Traffic Classification Based on GAN and BP Neural Networks.- Source Code Vulnerability Detection using Deep Learning Algorithms for Industrial Applications.- Detecting Unknown Vulnerabilities in Smart Contracts with Binary Classification Model Using Machine Learning.- Prototyping the IDS Security Components in the Context of Industry 4.0 - A Textile and Clothing Industry Case Study.- An Aspect-Based Semi-Supervised Generative Model for Online Review Spam Detection.- Hierarchical Policies of Subgoals for Safe Deep Reinforcement Learning.- Improved DeepLabV3+ based Railway track extraction to Enhance Railway Transportation Safety.- Analysis of Techniques for Detection and Removal of Zero-Day Attacks (ZDA).- Android Malware Detection: A Literature Review.- Threat Modeling in Cloud Computing - A Literature Review.- A New Signal Packing Algorithm for CAN-FD with Security Consideration.- An Adversarial Sample Defense Method based on Saliency Information.- BlockLearning: A Modular Framework for Blockchain-based Vertical Federated Learning.- Cyberspace Privacy.- An Interactive Query Differential Privacy Protection Model Based on Big Data Analysis.- Decentralized Collaborative Filtering Algorithm with Privacy Preserving for Recommendation in Mobile Edge Computing.- Encryption Proxies in a Confidential Computing Environment.- FedTA:Locally-Differential Federated Learning with Top-k Mechanism and Adam Optimization.- Differentially Private Clustering Algorithm for Mixed Data.- Impact Of Reenactment Programs on Young Generation.- Sensor Cloud Data Privacy Protection Model Based On Collaborative Deep Learning.- Cyberspace Anonymity.- An Improved Cuckoo Search Algorithm and Its Application in Function Optimization.- Empirical Likelihood for PLSIM with Missing Response Variables and Error-prone Covariates.- High-speed Anonymous Device Authentication without Asymmetric Cryptography in the Internet-of-Things.- A-VMD: Adaptive Variational Mode Decomposition Scheme for Noise Reduction in Sensor-Cloud.- A Thermal-Aware Scheduling Algorithm for Reducing Thermal Risks in DAG-based Applications in Cyber-Physical Systems.- Short Papers.- Garbage recognition algorithm based on self-attention mechanism and deep sorting.- Approaches for Zero Trust Adoption Based Upon Organization Security Level.- Multi-Mobile Agent Security by Design Itinerary Planning Approach in Wireless Sensor Network.- On the Variability in the Application and Measurement of Supervised Machine Learning in Cyber Security.