A Framework For Video Access Using Authenticity And Security Framework


Because of their effect on our everyday lives, social multimedia networks (SMNs) have drawn a lot of interest from academia and industry. The demands of SMN users are rising; making meeting those demands a difficult job. Internal users who can upload and exploit vulnerable, entrusted, and unauthorized content are one of the most significant challenges that SMNs face. Controlling and verifying content delivered to end-users is becoming an increasingly difficult activity the aim of this project is to propose a system for human-machine collaboration to ensure safe delivery of trustworthy video content over SMNs while minimizing deployment costs. The proposed framework's main concepts include: I assigning a degree of trust to each user based for accessing the videos basing on his previous history using the concept of artificial intelligent agent which takes care of publishing on the network and verifying the videos' integrity and delivery during the streaming process it leads to trouble our this approach there will be a centerline authority that check and monitor the activity of the user and basing on it ethnicity the user gives the access permission to the videos maintaining the trust of activity performance by end user Keywords: Big Data, Proxy Re encryption, Storage Path, Cloud Storage, Sensitive Data.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL