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020			_a9783031281501
024	7		_a10.1007/978-3-031-28150-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5105.5 _b2023 EB
245	0	0	_aSecurity and Risk Analysis for Intelligent Edge Computing _cedited by Gautam Srivastava, Uttam Ghosh, Jerry Chun-Wei Lin
250			_a1st ed 2023
264		1	_aCham _bSpringer International Publishing _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		_aAdvances in Information Security _x2512-2193 _v103
505	0		_aChap I Introduction to Cloud/Edge Computing -- Chap II Big Data Analytics and Security over the Cloud: Characteristics, Analytics, Integration and Security -- Chap III Federated Learning enabled Edge computing -- security for Internet of Medical Things: Concepts, Challenges and Open issues -- Chap IV Embedded Edge and Cloud Intelligence -- Chap V The Analysis on Impact of Cyber Security Threats on Smart Grids -- Chap VI Intelligent Intrusion Detection algorithm based on multi-attack for Edge-Assisted Internet of Things -- Chap VII Secure Data Analysis and Data Privacy -- Chap VIII A Novel Trust evaluation and Reputation data Management based Security System Model for Mobile Edge Computing Network -- Chap IX Network Security System in Mobile Edge Computing-to-IoMT Networks using Distributed Approach -- Chap X Wireless and Mobile Security in Edge Computing -- Chap XI An intelligent facial expression recognizer using modified 1 ResNet-110 using Edge Computing -- Chap XII Blockchain Based Simulated Virtual Machine Placement Hybrid Approach for Decentralized cloud and edge computing environment and Edge Computing.
520			_aThis book offers the latest research results in security and privacy for Intelligent Edge Computing Systems. It presents state-of-the art content and provides an in-depth overview of the basic background in this related field. Practical areas in both security and risk analysis are addressed as well as connections directly linked to Edge Computing paradigms. This book also offers an excellent foundation on the fundamental concepts and principles of security, privacy and risk analysis in Edge Computation infrastructures. It guides the reader through the core ideas with relevant ease. Edge Computing has burst onto the computational scene offering key technologies for allowing more flexibility at the edge of networks. As Edge Computing has evolved as well as the need for more in-depth solutions in security, privacy and risk analysis at the edge. This book includes various case studies and applications on Edge Computing. It includes the Internet of Things related areas, such as smart cities, blockchain, mobile networks, federated learning, cryptography and cybersecurity. This book is one of the first reference books covering security and risk analysis in Edge Computing Systems. Researchers and advanced-level students studying or working in Edge Computing and related security fields will find this book useful as a reference. Decision makers, managers and professionals working within these fields will want to purchase this book as well.
988			_aSpringer_Computer_2023
650		7	_2embne _9141354 _aRedes informáticas
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-28150-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2024 _dz _ek _zSI