RETRACTED ARTICLE: IoT using machine learning security enhancement in video steganography allocation for Raspberry Pi

• Published in: Journal of ambient intelligence and humanized computing Vol. 12; no. 6; pp. 5835 - 5844
• Main Authors: Karthika, P., Vidhya Saraswathi, P.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-06-2021; Springer Nature B.V
• Subjects: Actuators; Algorithms; Application programming interface; Artificial Intelligence; Biometrics; Computational Intelligence; Cybersecurity; Engineering; Internet of Things; Machine learning; Original Research; Robotics and Automation; Security systems; Steganography; User Interfaces and Human Computer Interaction; USB webcam; Raspberry Pi; Machine learning framework; Artificial intelligence; IoT
• ISSN: 1868-5137; 1868-5145
• DOI: 10.1007/s12652-020-02126-4

Billions of physical gadgets are by and by associated with the Internet molding the Internet of Things (IoT). These gadgets are making a more proportion of helpful or pointless data. The transmission and getting ready of this data is a trying errand. Diverse IoT applications and future research bearing are in like manner talked. One of the unquestionable application parts of IoT framework is in the Security Sector. It is basic to an uncommon negligible exertion answer for check wrongdoing and assurance security to people from the home, military, business, and so on. This paper using Raspberry Pi IoT establishment includes the portrayal driven progression process for AI Security System. It remarks the livelihoods of client end demand, for instance, to securely transmit information through the layers of IoT designing. It goes for giving a low-control, monetarily sense and normal IoT dependent on security AI system which helps proximity ID, unmistakable 98% evidence and confirmation of pariahs. The course of action makes usage of USB Webcam as an image getting unit, electric entryway hit as an actuator which gives application programming interfaces (APIs) to collect game plans which is flawless with IoT foundation of improvement for video steganography distribution for Raspberry Pi.