Multimedia Security and Privacy on Real Time Behavioral Monitoring in Machine Learning IoT Application Using Big Data Analytics
The Internet of Things (IoT) is an advancing idea where physical articles are associated with one another and customer through the Internet so as to share information among contraptions and structures. Under IoT, splendid contraptions are transmitted to screen, follow, and dissect business, individual and social activities. The IoT's unavoidable idea will conceivably be fruitful; however, it additionally uncovers a risk from malware, developer obstruction, diseases, etc. The subsequent security and insurance issues can cause physical mischief and even compromise human lives. This paper targets two zones; from the start, the paper gives an examination of the IoT layered engineering to set up an IoT space with the security challenges/attack. From that point on, the paper proposes a response that can protect the security of mixed media information within an IoMT state (Internet of Multimedia Things) at its observation layer. The proposed security structure would improve the mixed media to operate adequately while at the same time safeguarding the privacy of the transmitted data and protecting people.