International Journal of Innovative Technology and Research
Abstract
The storage nodes, which act as an intermediate layer between the sensors and the sink, can be hacked, allowing attackers to learn sensitive data and process query results.Privacy and integrity were the cornerstones of the application of sensor networks with two levels. Prior schedules for secure query processing are weak because they reveal very little information, so attackers can estimate statistical data based on domain knowledge and the date of query results. In this study we propose the first top-k query processing system that protects the privacy of the sensor data and the integrity of the query results. To maintain privacy, we build an index for each data element collected by the sensor using a semi-random hash function and Blom filters and converting top-k queries to queries in the upper range. To maintain integration, we propose that the data partition algorithm divide each data element into a time interval and associate the partition data with the data. The attached information ensures that the repository can verify the integrity of the query results. We officially show that our software is protected under the IND-CKA security model. Our empirical results from real-life data show that our approach is rigorous and practical for large network size
