Real time MAF-based multi level access restriction approach for collaborative environment using ontology. (2019)

• Record Type: Journal Article
• Authors: Rajeshwari, S.; Chandrasekar, A.
• Is Part Of: International journal of advanced intelligence paradigms. Volume 12:Number 1/2(2019)
• Page Start: 14
• Page End: 23
• Publication Date: 2019
• Subjects: collaborative environment -- malicious access frequency -- MAF -- data ontology -- access restriction -- public auditing -- MLAR; Artificial intelligence -- Periodicals; Machine theory -- Periodicals; Fuzzy logic -- Periodicals; 006.305
• Languages: English
• ISSNs: 1755-0386

Abstract

The collaborative environment encourages rapid development in many organisations but struggles with malicious access. There are many access control approaches for improving the performance of the collaborative environment. These have been discussed earlier, but unfortunately performance is not seen. This paper presents a novel real time malicious access frequency-based multi level restriction scheme. The method maintains the ontology of resources which contain data of various kinds, their properties and the set of roles of environment could get access to. Also, the system maintains the logs about the previous access of various users of the environment. The log, helps computation of the method for the requested data and user by MAF. Using computed MAF value the method computes the multi attribute trust measure for each level and also the multi level trust weight. Based on computed value, the method performs access restriction to improve the quality of collaborative development.