Cantitate/Preț
Produs
Total produse
Vezi coșul
Deep Learning Techniques for IoT Security and Privacy de Mohamed Abdel-Basset

Deep Learning Techniques for IoT Security and Privacy

Autor Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding
en Limba Engleză Hardback – 6 dec 2021
This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 100375 lei  6-8 săpt.
  Springer – 7 dec 2022 100375 lei  6-8 săpt.
Hardback (1) 100930 lei  6-8 săpt.
  Springer – 6 dec 2021 100930 lei  6-8 săpt.

Preț: 100930 lei

Preț vechi: 126163 lei
-20% Nou

Puncte Express: 1514
Preț estimativ în valută:
17857€ • 20835$ • 15612£

Carte tipărită la comandă

Livrare economică 16-30 ianuarie 26

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030890247
ISBN-10: 3030890244
Pagini: 280
Ilustrații: XXI, 257 p. 71 illus., 69 illus. in color.
Dimensiuni: 160 x 241 x 21 mm
Greutate: 0.59 kg
Ediția:1st ed. 2022
Editura: Springer
Locul publicării:Cham, Switzerland

Cuprins

Chapter 1, Conceptualization of Security, Forensics, and Privacy of Internet of Things.- Chapter 2, Internet of Things, Preliminaries and Foundations.- Chapter 3, Internet of Things Security Requirements, Threats, Countermeasures.- Chapter 4, Digital Forensics in Internet of Things.- Chapter 5, Supervised Deep Learning for Secure Internet of Things.- Chapter 6, Unsupervised Deep Learning for Secure Internet of Things.- Chapter 7, Semi-supervised Deep Learning for Secure Internet of Things.- Chapter 8, Reinforcement Learning for Secure Internet of Things.- Chapter 9, Federated Learning for Privacy-Preserving Internet of Things.- Chapter 10, Challenges, Opportunities, and Future Prospects.

Textul de pe ultima copertă

This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.

Caracteristici

Presents a Machine Learning Approach to Conducting Digital Forensics Contains state-of-the-art research and shows how to teach hands-on incident response and digital forensic courses Covers the applications of digital forensics and artificial intelligence in operating systems