Abstract: A computer-based system and method for secured privacy preservation scheme while data aggregation in a non-hierarchical wireless sensor network that lacks peer-to-peer communication between the communicating sensor nodes is disclosed. The method and system adopts formation of self-adaptive efficient cluster formation for robust privacy preservation in the network by grouping the multiple sensor nodes in the network to form multiple clusters that enables low computation overhead and high scalability in the network. The method and system of the invention discloses an effective twin-key management scheme that provides establishment of secure communication among the sensor nodes and the secure communication between at least one sensor node with the sever node performing the function data aggregation of the data collected by the sensor nodes.

Abstract: The invention relates to a system and a method for privacy preservation of sensitive attributes stored in a database. The invention reduces the complexity and enhances privacy preservation of the database by determining the distribution of sensitive data based on Kurtosis measurement. The invention further determines and compares the optimal value of k-sensitive attributes in k-anonymity data sanitization model with the optimal value of l sensitive attributes in l diversity data sanitization model using adversary information gain. The invention reduces the complexity of the method for preserving privacy by applying k anonymity only, when the distribution of the sensitive data is leptokurtic and optimal value of k is greater than the optimal value of l.

Abstract: The invention relates to a system and a method for privacy preservation of sensitive attributes stored in a database. The invention reduces the complexity and enhances privacy preservation of the database by determining the distribution of sensitive data based on Kurtosis measurement. The invention further determines and compares the optimal value of k-sensitive attributes in k-anonymity data sanitization model with the optimal value of l sensitive attributes in l diversity data sanitization model using adversary information gain. The invention reduces the complexity of the method for preserving privacy by applying k anonymity only, when the distribution of the sensitive data is leptokurtic and optimal value of k is greater than the optimal value of l.

Abstract: A computer-based system and method for secured privacy preservation scheme while data aggregation in a non-hierarchical wireless sensor network that lacks peer-to-peer communication between the communicating sensor nodes is disclosed. The method and system adopts formation of self-adaptive efficient cluster formation for robust privacy preservation in the network by grouping the multiple sensor nodes in the network to form multiple clusters that enables low computation overhead and high scalability in the network. The method and system of the invention discloses an effective twin-key management scheme that provides establishment of secure communication among the sensor nodes and the secure communication between at least one sensor node with the sever node performing the function data aggregation of the data collected by the sensor nodes.