Cyber Security Threats Detection in Internet of Things Using Deep Learning Approach

Cyber Security Threats Detection in Internet of Things Using Deep Learning Approach

The IoT (Internet of Things) connect systems, applications, data storage, and services that may be a new gateway for cyber-attacks as they continuously offer services in the organization. Currently, software piracy and malware attacks are high risks to compromise the security of IoT. These threats m...

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Bibliographic Details
Main Authors: Farhan Ullah, Hamad Naeem, Sohail Jabbar, Shehzad Khalid, Muhammad Ahsan Latif, Fadi Al-turjman, Leonardo Mostarda
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Internet of Things
data mining
cyber security
software piracy
malware detection
Online Access:https://ieeexplore.ieee.org/document/8812669/

Internet

https://ieeexplore.ieee.org/document/8812669/

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