Lavoisier S.A.S.
14 rue de Provigny
94236 Cachan cedex
FRANCE

Heures d'ouverture 08h30-12h30/13h30-17h30
Tél.: +33 (0)1 47 40 67 00
Fax: +33 (0)1 47 40 67 02


Url canonique : www.lavoisier.fr/livre/informatique/security-trust-and-privacy-models-and-architectures-in-iot-environments/descriptif_4815168
Url courte ou permalien : www.lavoisier.fr/livre/notice.asp?ouvrage=4815168

0 article 

 Frais de port 0,01€*

Exclusivité web : à partir de 35 euros d’achat, frais de port à 1 centime pour les expéditions vers la France métropolitaine, la Suisse et l’UE avec Colissimo ou GLS

Security, Trust and Privacy Models, and Architectures in IoT Environments, 2023 Internet of Things Series

Langue : Anglais

Coordonnateurs : Fotia Lidia, Messina Fabrizio, Rosaci Domenico, Sarné Giuseppe M.L.

Couverture de l’ouvrage Security, Trust and Privacy Models, and Architectures in IoT Environments
This book is dedicated to the issues of security, trust and privacy models, and architectures in IoT environments. The authors aim to capture the latest research and contributions from academy, industry, and other stakeholders on new security models, architectures, protocols, and standards for ensuring security, privacy, and trustworthiness to IoT systems. The authors discuss the convergence of IoT, software agents, and edge computing to introduce social features into IoT systems, combining trustworthiness and reputation information collected by agents at the edge with security and privacy mechanisms. They also cover experimental and simulated campaigns that evaluate strategies to improve the security and privacy of the IoT world, and at the same time the ability to prevent and deter deceptive behaviors. The book is relevant for researchers, professionals, academics, and students.

Chapter 1. IoT Network administration by intelligent decision support based on combined neural networks.- Chapter 2. A Novel Privacy-Preserving Framework based on Blockchain Technology to Secure Industrial IoT Data.- Chapter 3. Detecting Collusive Agents by Trust Measures in Social IoT Environments: A Novel Reputation Model.- Chapter 4. An Adaptive Blurring Routing Protocol for Delay Tolerant Networks in IoT Environments.- Chapter 5. Modeling and Detection of Denial-of-Sleep Attacks on Autonomous IoT Devices in Wireless Sensor Networks.- Chapter 6. Machine learning methologies for preventing malware obfuscation.- Chapter 7. Formation of Reliable Composite Teams for Collaborative Environmental Surveillance of Ecosystems.- Chapter 8. Accountability of IoT devices.- Chapter 9. Digital twin through physical assets tokenization in blockchain.- Chapter 10. Security in Home Automation.

Lidia Fotia is Assistant Professor at the DIEM Department of the University of Salerno, Italy. In 2014 she took the PhD degree in Information Engineering at University of Reggio Calabria. Her research activity mainly falls in the field of Internet of Things. In particular, her research interests include Trust and Reputation Systems, Security and Privacy, Multi-Agent Systems, Social Network Analysis, Artificial Neural Networks, Edge computing, and Internet of Things. She is author of about 39 scientific papers. She has published in international journals (e.g., Simulation Modelling Practice and Theory, Future Generation Computer Systems, IEEE Access, Information Systems, Information Sciences, etc.) and, in particular she is author multiple papers in the area.

Fabrizio Messina is Assistant Professor of Computer Science with Tenure Track at the Department of Mathematics and Informatics of the University of Catania, Italy. He is eligible for the functions of Associate Professoron the basis of the national procedure. In 2009 he took the PhD degree in Computer Science at the University of Catania. In 2018 he was visiting Professor at the University of Derby, UK. He teaches the course of Basic C++ Programming and Laboratory for the Bachelor Degree of Computer Science at the University of Catania. His research activity mainly falls in the field of Artificial Intelligence for IoT and Cloud Computing. In particular, his research interests include Trust and Reputation Systems for IoT and Cloud, Multi-Agent Systems for IoT, Cloud Computing, and Software Simulations. He is the author of about 100 scientific papers in Proceedings and International Journals.

Domenico Rosaci is Associated Professor of Computing Engineering at the DIIES Department of the University "Mediterranea" of Reggio Calabria, Italy. He is eligible for the functions of Full Professor on the basis of the national procedure. In 1999 he took the PhD degree in Electronic Engineering at University o

Covers the issues of security, trust and privacy models, reputation, and architectures in IoT environments Includes IoT security applications in different domains to offer services for smart home and cities Presents positioning of software agent technologies and the integration of edge computing

Date de parution :

Ouvrage de 178 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

189,89 €

Ajouter au panier

Date de parution :

Ouvrage de 178 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

189,89 €

Ajouter au panier