Author
Listed:
- SK.Ahmad Shah
- Penmesta V Krishna Raja
Abstract
Technology and its significant has changed the way of the time being lead to next level of journey to make classical technology to the ultra modern technology. Time being is called as the data to be secured with the node based cloud cluster mechanism. In this paper, we have the glimpse of the technology and its Significance may be loop based hole to imagine world, but in the terms of Reality really it’s a wonder, where we think ability the more and more to explore things may be technology to give a seam less service the mankind. If we consider the networking where we made this ethereal world to a global village making things better, but there is no end of better. If we consider the parallel distributed network, where these days we face the difficulty in transferring the data, in turn we callas load balancing along with some other factors may also come. Hence, in this paper we try to give the glimpse of the best mechanism which involves the load balancing in Content Delivery Networks in the discrete acknowledge based dynamic method. We have taken consideration of the access control based approach where data sharing would base on the group based specific and acknowledgment based approach to implement the best cryptographic approach. In order to secure the best of the privacy we have implemented the dynamic group based encryption and decryption mechanism to some authorized group based on the clustered node where attribute based acknowledgement in the private share delivery networks.
Suggested Citation
SK.Ahmad Shah & Penmesta V Krishna Raja, 2017.
"Efficient Parallel key management for Distributed Data Security in Content Delivery Networks,"
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(6), pages 900-904, December.
Handle:
RePEc:jbh:ijsrcs:v2:y2017:i6:id:hcseit1726260
Note: Article URL: https://ijsrcseit.com/CSEIT1726260
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