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@article{145609,
        author = {U.Jayasree and K.Reddamma},
        title = {Consistent and Protected End-to-End Data Aggregation Using Sceret Distribution in WSNs},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {10},
        pages = {617-621},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145609},
        abstract = {Data aggregation in WSNs (Wireless sensor Networks) can effectively reduce communication overheads and therefore the energy consumption of detector nodes. A WSN must be not solely energy economical, however conjointly secure. Varied attacks could build data aggregation unsecure. We investigate the reliable and secure end to-end data aggregation downside considering selective forwarding attacks and modification attacks in homogenous cluster-based WSNs, and propose two data aggregation approaches. Our approaches, namely, Sign-Share and Sham-Share, use secret sharing and signatures to permit aggregators to combination the data while not understanding the contents of messages and therefore the base station to verify the collective data and retrieve the raw data from the collective data.},
        keywords = {data aggregation , wireless sensorNetworks, sign-shared and sham-share},
        month = {},
        }