In the large number of outgrowing commercial environment each and everything depends on the other sources to transmit the data securely and maintain the data as well in the regular medium. Portable nodes in military environments, for example, a front line or an antagonistic area are prone to experience the undergo of irregular system network and frequent partitions. Disruption-tolerant network (DTN) innovations are getting to be fruitful results that permit remote device conveyed by officers to speak with one another and access the confidential data or secret data or summon dependably by abusing outside capacity nodes or storage nodes. Thus a new methodology is introduced to provide successful communication between each other as well as access the confidential information provided by some major authorities like commander or other superiors. The methodology is called Disruption-Tolerant Network (DTN). This system provides efficient scenario for authorization policies and the policies update for secure data retrieval in most challenging cases. Blowfish algorithm is a guaranteeing cryptographic answer for the right to gain entrance control issues. However, the problem of applying Blowfish algorithm in decentralized DTNs introduces several security and privacy challenges with regard to the attribute revocation, key escrow, and coordination of attributes issued from different authorities. In this paper, we propose a secure data retrieval scheme using blowfish algorithm for decentralized DTNs where multiple key authorities manage their attributes independently. We demonstrate how to apply the proposed mechanism to safely and proficiently deal with the classified information dispersed in the Interruption or disruption tolerant network.