Exploratory Secure Transmission of Data with Semantic CPDA Rule in Wireless Sensor Networks
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2015 by IJCTT Journal | ||
| Volume-25 Number-2 |
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| Year of Publication : 2015 | ||
| Authors : K.Bhagya Sri, A.Srinivasan | ||
| DOI : 10.14445/22312803/IJCTT-V25P116 |
K.Bhagya Sri, A.Srinivasan "Exploratory Secure Transmission of Data with Semantic CPDA Rule in Wireless Sensor Networks". International Journal of Computer Trends and Technology (IJCTT) V25(2):86-90, July 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
Data Aggregation in moderate hubs (called
aggregator hubs) is a viable methodology for streamlining
utilization of rare assets like data transfer capacity and
vitality in Remote Sensor Networks (WSNs). Then again, insystem
preparing represents an issue for the protection of
the sensor information since individual information of
sensor hubs should be known not aggregator hub before
the collection procedure can be conveyed out. In
utilizations of WSNs, protection protecting information
collection has turn into a critical prerequisite due to
delicate nature of the sensor information. This paper
proposes a conventions and plans for this reason called
CPDA - for completing added substance information
collection in a protection saving way for application in
WSNs. The plan has been very prevalent and surely
understood. Regardless of the popularity of this convention,
it has been found that the convention is powerless against
assault and it is likewise not vitality productive. In this
paper, we first present a brief best in class review on the
present protection protecting information conglomeration
conventions for WSNS. At that point we portray the CPDA
convention and recognize its security weakness. At last, we
exhibit how the convention can be made secure and vitality
productive.
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Keywords
wireless sensor network, privacy, data
aggregation, cluster-based private data aggregation
(CPDA); key distribution, collusion attack, malicious node