Service Orient Multi Factor Trust Analysis Model Based Access Restriction with Blockchain Security for Efficient Collaborative System in Cloud

Growing communication and information technology has supported the growth of collaborative systems to a higher extent. The presence of cloud support encourages the organizations and their users to work together in a collaborative environment. However, providing access to the users of an organization independent of their location has introduced different challenges for the data managers to provide exact and correct data to the user. To provide such integrity and auditing, different access restriction schemes and public auditing schemes are discussed in literature. However, they do not provide higher security and auditing performance. To solve this issue, an efficient service orient multi factor trust analysis model (SMTAM-BC) is presented in this article. The method uses the user profile to classify the users under various categories to enforce access restriction in micro level. For each user, the trust analysis model estimates the trust as Multi Factor User Trust based on their profile and the data and service access they have (MFUT). The approach limits the user's access based on the user trust metric. Additionally, data owners and chosen users are notified when public auditing is taking place at attribute level. For the sake of public auditing, a data update is carried out based on the results of various users and data owners. In a collaborative context, the technique increases access control and public auditing.