Volume 7 Issue 1 - May 2016

  • 1. Comparison of the effect of different discriminant functions on the convergence rate of if algorithm for secure data aggregation technique in presence of collusion attacks.

    Authors : Supriya Kochhar, Dr. Manjeet Singh Patterh

    Pages : 622-627

    DOI : http://dx.doi.org/10.21172/1.71.089

    Keywords : Wireless Sensor Networks, Collusion attacks, Data aggregation, Iterative Filtering Algorithms, Discriminant Function, convergence rate

    Abstract :

    Wireless Sensor Networks are subjected to hostile and malicious environments, so they are vulnerable to collusion attacks leading to compromised nodes and hence false data injection. Hence there is a need for secure data aggregation techniques. Iterative Filtering Algorithms provide secure data aggregation by providing trustworthiness values to the nodes in the form of weight factors. Role of discriminant function, for calculating weights, is very important in IF algorithm. Different discriminant functions could provide different converging rates leading to different efficiencies. In this paper, we compare the effect of different discriminant functions on the convergence rate of IF Algorithm.

    Citing this Journal Article :

    Supriya Kochhar, Dr. Manjeet Singh Patterh, "Comparison of the effect of different discriminant functions on the convergence rate of if algorithm for secure data aggregation technique in presence of collusion attacks.", https://www.ijltet.org/journal_details.php?id=901&j_id=3105, Volume 7 Issue 1 - May 2016, 622-627, #ijltetorg