| Titre : |
Blockchain and machine learning for IoT security |
| Type de document : |
document électronique |
| Auteurs : |
Mourade Azrour, Auteur ; Jamal Mabrouki, Auteur ; Azidine Guezzaz, Auteur ; Said Benkirane, Auteur |
| Editeur : |
Boca Raton [Etats-Unis] : Chapman & Hall / CRC |
| Année de publication : |
2024 |
| Importance : |
1 fichier PDF |
| Présentation : |
ill. |
| ISBN/ISSN/EAN : |
978-1-03-256344-2 |
| Note générale : |
Mode d'accès : accès au texte intégral par :
- authentification après inscription à la plateforme EBSCOhost
ou
- adresse IP de l'École.
Index |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Computer security
Blockchains (Databases)
Internet of things |
| Index. décimale : |
004.056 Sécurité |
| Résumé : |
The Internet of Things (IoT) involves physical devices, cars, household appliances, and any other physical appliance equipped with sensors, software, and network connections to gather and communicate data. Nowadays, this technology is embedded in everything from simple smart devices, to wearable equipment, to complex industrial machinery and transportation infrastructures. On the other hand, IoT equipment has been designed without considering security issues. Consequently, there are many challenges in terms of protection against IoT threats, which can lead to distressing situations. In fact, unlike other technological solutions, there are few standards and guidelines governing the protection of IoT technology. Moreover, few users are aware of the risks associated with IoT systems.Hence, Blockchain and Machine Learning for IoT Security discusses various recent techniques and solutions related to IoT deployment, especially security and privacy. This book addresses a variety of subjects, including a comprehensive overview of the IoT, and covers in detail the security challenges at each layer by considering how both the architecture and underlying technologies are employed. As acknowledged experts in the field, the authors provide remediation solutions for impaired security, as well as mitigation methods, and offer both prevention and improvement suggestions.Key Features: Offers a unique perspective on IoT security by introducing Machine Learning and Blockchain solutions Presents a well-rounded overview of the most recent advances in IoT security and privacy Discusses practical solutions and real-world cases for IoT solutions in various areas Provides solutions for securing IoT against various threats Discusses Blockchain technology as a solution for IoT This book is designed to provide all the necessary knowledge for young researchers, academics, and industry professionals who want to understand the advantages of artificial intelligence technology, machine learning, data analysis methodology, and Blockchain for securing IoT technologies. |
| Note de contenu : |
Summary of the book :
1. Google trend analysis of airport passenger throughputs: case study of murtala muhammed international airport
2. Blockchain technology overview: architecture, proposed and future trends
3. Innovative approach for optimized iot security based on spatial network voronoï diagrams, network centrality, and ml-enabled blockchain
4. The combination of blockchain and the internet of things (iot): applications, opportunities, and challenges for industry
5. Security issues in internet of medical things
… |
| En ligne : |
https://research.ebsco.com/linkprocessor/plink?id=57471609-6cf9-318c-b4b7-411279 [...] |
Blockchain and machine learning for IoT security [document électronique] / Mourade Azrour, Auteur ; Jamal Mabrouki, Auteur ; Azidine Guezzaz, Auteur ; Said Benkirane, Auteur . - Boca Raton [Etats-Unis] : Chapman & Hall / CRC, 2024 . - 1 fichier PDF : ill. ISBN : 978-1-03-256344-2 Mode d'accès : accès au texte intégral par :
- authentification après inscription à la plateforme EBSCOhost
ou
- adresse IP de l'École.
Index Langues : Anglais ( eng)
| Mots-clés : |
Computer security
Blockchains (Databases)
Internet of things |
| Index. décimale : |
004.056 Sécurité |
| Résumé : |
The Internet of Things (IoT) involves physical devices, cars, household appliances, and any other physical appliance equipped with sensors, software, and network connections to gather and communicate data. Nowadays, this technology is embedded in everything from simple smart devices, to wearable equipment, to complex industrial machinery and transportation infrastructures. On the other hand, IoT equipment has been designed without considering security issues. Consequently, there are many challenges in terms of protection against IoT threats, which can lead to distressing situations. In fact, unlike other technological solutions, there are few standards and guidelines governing the protection of IoT technology. Moreover, few users are aware of the risks associated with IoT systems.Hence, Blockchain and Machine Learning for IoT Security discusses various recent techniques and solutions related to IoT deployment, especially security and privacy. This book addresses a variety of subjects, including a comprehensive overview of the IoT, and covers in detail the security challenges at each layer by considering how both the architecture and underlying technologies are employed. As acknowledged experts in the field, the authors provide remediation solutions for impaired security, as well as mitigation methods, and offer both prevention and improvement suggestions.Key Features: Offers a unique perspective on IoT security by introducing Machine Learning and Blockchain solutions Presents a well-rounded overview of the most recent advances in IoT security and privacy Discusses practical solutions and real-world cases for IoT solutions in various areas Provides solutions for securing IoT against various threats Discusses Blockchain technology as a solution for IoT This book is designed to provide all the necessary knowledge for young researchers, academics, and industry professionals who want to understand the advantages of artificial intelligence technology, machine learning, data analysis methodology, and Blockchain for securing IoT technologies. |
| Note de contenu : |
Summary of the book :
1. Google trend analysis of airport passenger throughputs: case study of murtala muhammed international airport
2. Blockchain technology overview: architecture, proposed and future trends
3. Innovative approach for optimized iot security based on spatial network voronoï diagrams, network centrality, and ml-enabled blockchain
4. The combination of blockchain and the internet of things (iot): applications, opportunities, and challenges for industry
5. Security issues in internet of medical things
… |
| En ligne : |
https://research.ebsco.com/linkprocessor/plink?id=57471609-6cf9-318c-b4b7-411279 [...] |
|  |
004 Informatique. Science et technologie de l'informatique
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Blockchain and machine learning for IoT security (2024)
