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RENDERING INTEGRITY AND RELIABILITY THROUGH RECOVERABLE CONCEALED DATA AGGREGATION IN WIRELESS SENSOR NETWORKS

Chethana E , Mrs.Srividya B V

In Wireless sensor networks (WSN) sensors are constrained in battery power, communication, and computation capability; therefore, reducing the power consumption is a critical concern for a WSN. Recently, a practical solution called data aggregation is introduced. By performing data aggregation we can reduce the number of packets transmitted to the base station resulting in conservation of energy and bandwidth. In this paper, we are going to recover the concealed data aggregation for reliability and data integrity in wireless sensor networks where a base station can recover each sensing data generated by all sensors even if these data have been aggregated by cluster heads. This approach allows the aggregation of data packets that are encrypted with different encryption keys. In addition, during the decryption of aggregated data, the base station is able to classify the encrypted and aggregated data based on the encryption keys. Moreover, by generating the temporal key of each aggregated data and signature to ensure data reliability and integrity in wireless sensor networks. Results obtained by this method will show that recoverable concealed data aggregation approach provides good results making it an alternative to existing aggregation algorithms.

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哈姆达大学
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国际创新期刊影响因子(IIJIF)
国际组织研究所 (I2OR)
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