The problem of Data Loss Prevention (DLP) and Information Right Management (IRM) has been well analyzed towards security development in cloud. The walls of cloud security enforcement hide the user's personal data from the service provider which challenges them in maintaining data secrecy as well as data leak.Such loosely coupled nature allows the cloud users in generating different threats against various Quality of Service parameters. Towards DLP and IRM, different approaches are furnished in literature but suffer in achieving expected QoS values. does not know much about There exist numerous techniques to handle the security problem, but suffer to achieve To handle this issue, an efficient real time OrderedUnordered Session Key Distribution Scheme (ROUSKDS) is presented in this article. The article is focused on using different secret keys in various sessions to restrict malformed access as well as restricting information leakage. In the focus to improve the performance of data loss prevention and information right management, the proposed model generates keys for various services for the session according to the result of Ordered-Unordered Shuffling (OUS) scheme. The method maintains number of keys for various services and shuffle the session keys either in a ordered way or unordered way. Similarly, the model uses Dual Mode Information Right Management (DMIRM) to restrict the user from malicious access. The method measure the trust of user at key level trust and access level trust values. Based on these values, the method restricts the malformed access to improve the performance of IRM.By maintaining various secret keys towards different services in various time stamp, both IRM and DLP process can be enhanced. The proposed method improves the performance of DLP and IRM which in turn improves the performance of cloud.