TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-030-89025-4
DO  - doi
AB  - 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.
T1  - Deep learning techniques for IoT security and privacy /
DA  - [2022]
CY  - Cham :
AU  - Abdel-Basset, Mohamed,
AU  - Moustafa, Nour.
AU  - Hawash, Hossam.
AU  - Ding, Weiping.
VL  - v. 997
CN  - Q325.5
PB  - Springer,
PP  - Cham :
PY  - [2022]
ID  - 1443179
KW  - Machine learning.
KW  - Internet of things
KW  - Apprentissage automatique.
KW  - Internet des objets
SN  - 9783030890254
SN  - 3030890252
TI  - Deep learning techniques for IoT security and privacy /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-89025-4
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-89025-4
ER  -