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008			230215s2023 si | o |1|| 0|eng d
020			_a9789819902729
024	7		_a10.1007/978-981-99-0272-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .A25 _b2023 EB
245	0	0	_aUbiquitous Security : _bSecond International Conference, UbiSec 2022, Zhangjiajie, China, December 28-31, 2022, Revised Selected Papers _cedited by Guojun Wang, Kim-Kwang Raymond Choo, Jie Wu, Ernesto Damiani
250			_a1st ed 2023
264		1	_aSingapore _bSpringer Nature _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aCommunications in Computer and Information Science _x1865-0937 _v1768
505	0		_aCyberspace 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.
520			_aThis 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. They were organized in topical sections as follows: cyberspace security, cyberspace privacy, cyberspace anonymity and short papers.
988			_aSpringer_Computer_2023
650		7	_2embne _9158200 _aSeguridad informática _vCongresos y asambleas
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-0272-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2024 _dz _eb _zSI