| Abstrakt: |
The Internet of Things (IoT) is made up of a set of connected devices, which associated with numerous sensors, actuators, and systems but not limited to sensor networks, Radio Frequency Identification, devices, QR code devices, barcode and Global Positioning System, which has connected and communicated via wired or wireless technologies. These devices seem in everyday life and increasing their application everywhere. This is the key matric of IoT development. Security concern is one of the common challenges here. Encryption and physical attacks, Deny of Service attacks, cyber security attacks, Firmware Hijacking, Botnets, Man-in-the-Middle and Eavesdropping are still happening with devices. To understand the treats in detail that has been discussed here. To investigate these insecure threats, we examine the uniqueness and complexity of Internet of Things security, and then discover that Artificial Intelligence based techniques such as Machine Learning models and Deep Learningalgoritmswillhave novel authoritative capabilities to meet the preventive necessities of IoT. We also examine the mechanisms of Artificial Intelligence in identifying and/or mitigating threats in IoT safety related threats and summarize a broad process of Artificial Intelligence way for IoT security. [ABSTRACT FROM AUTHOR] |
