Privacy Oriented Data Fetching for Disruption Tolerant Military Networks
Keywords:
Secure Data Retrieval, Disruption-tolerant network's, multi-authority, Q-Tree, Multi-Attribute Based Range Query.Abstract
Military faces a number of challenges in handling classified and unclassified information. Major challenges include the money, time and effort it takes to develop and deploy new devices or networks and finally integrating them with the existing infrastructure cohesively currently in use and not readily replaceable. To meet military needs for securing data storage with respect to the new state of the art Disruption-tolerant network's (DTN) that allows DTN nodes carried by soldiers to communicate with each other and access and share private information even in the event of network delays. However, security breach is a major concern in such DTN's. Although an attribute based encryption scheme is found viable in such store and forward networks, the latency issues with respect to key generation and maintenance is quite complex when using the traditional list based structures. Therefore, we propose a new optimized solution to improve to attribute extraction process of data and sort, revalidate and formulate a key generation process that can reduce the latencies involved and store and forwarding process of DTN's. A real time network application developed in this regard highlights our proposed claim and its efficiency.
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