Multi attribute behaviour analysis model based access control in collaborative environment

Abstract

The growth of information technology has opened the gate for users of newlinedifferent organizations to work together and share information between them. newlineThe users of organizations access the same resource from different newlinegeographic locations and share the same resource to work in a collaborative newlinenature. The problem of working in collaborative nature is providing security, newlineintegrity, privacy preservation, public auditing and more. newlineThe work also considers and discuss about how the public auditing is newlineenforced which represents the trustworthy of information the user visit. To newlineprovide the above-mentioned measures there are number of approaches newlinedescribed in various situations.The collaborative environment encourages the rapid development in newlinemany organizations but struggles with malicious access. To improve the newlineperformance of collaborative environment, there are many access control newlineapproaches discussed earlier, but suffers to achieve the performance. This paper present a novel real time malicious access frequency based multi level newlinerestriction scheme. The method maintains the ontology of resources or data, newlinewhich contains various data, their properties and the set of roles of newlineenvironment, could get access. Also, the system maintains the logs about the newlineprevious access of various users of the environment. From the log, the newlinemethod computes the MAF (Malicious Access Frequency) for the requested newlinedata and user. Using computed MAF (Malicious Access Frequency) value the newlinemethod computes the multi attribute trust measure for each level and newlinecomputes the multi level trust weight. Based on computed value, the method newlineperforms access restriction to improve the quality of collaborative newlinedevelopment. newline