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Deep Learning Approaches For Security Threats In Iot Environments Mohamed Abdelbasset

  • SKU: BELL-48700758
Deep Learning Approaches For Security Threats In Iot Environments Mohamed Abdelbasset
$ 31.00 $ 45.00 (-31%)

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Deep Learning Approaches For Security Threats In Iot Environments Mohamed Abdelbasset instant download after payment.

Publisher: Wiley-IEEE Press
File Extension: PDF
File size: 19.05 MB
Pages: 385
Author: Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash
ISBN: 9781119884149, 1119884144
Language: English
Year: 2022

Product desciption

Deep Learning Approaches For Security Threats In Iot Environments Mohamed Abdelbasset by Mohamed Abdel-basset, Nour Moustafa, Hossam Hawash 9781119884149, 1119884144 instant download after payment.

Internet of Things (IoT) applications and relevant technologies are presently proliferating in all sectors of daily life, including intelligent transportation, smart buildings, smart healthcare, smart manufacturing, smart farming, irrigations, etc. Many security concerns surround the massive amounts of data being sent and received by and from smart devices as they become more widely adopted. Since many IoT applications need safety and defense, authentication and classification systems, as well as sufficient technologies to ensure integrity and confidentiality, are becoming increasingly important.
An additional danger posed by a criminal IoT device use is the potential impact on internet security and robustness across the board. Mirai, an IoT-targeted malware, has demonstrated the disruptive power of malevolent operations and the need to implement proper defenses.

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