Manuscript Number : CSEIT1835152
Improving Security and energy efficiency in Ring clustered WSN
Authors(2) :-Pooja Tekade, Prof. Nutan Dhande Wireless sensor networks (WSNs) are increasingly used in many applications, such as volcano and fire monitoring, urban sensing, and perimeter surveillance. In a large WSN, in-network data aggregation (i.e., combining partial results at intermediate nodes during message routing) significantly reduces the amount of communication overhead and energy consumption. The research community proposed a loss-resilient aggregation framework called synopsis diffusion, which uses duplicate insensitive algorithms on top of multipath routing schemes to accurately compute aggregates (e.g., predicate count or sum). However, this aggregation framework does not address the problem of false sub-aggregate values contributed by compromised nodes. This attack may cause large errors in the aggregate computed at the base station, which is the root node in the aggregation hierarchy. In this paper, we make the synopsis diffusion approach secure against the above attack launched by compromised nodes. In particular, we present an algorithm to enable the base station to securely compute predicate count or sum even in the presence of such an attack. Our attack-resilient computation algorithm computes the true aggregate by filtering out the contributions of compromised nodes in the aggregation hierarchy. Extensive analysis and simulation study show that our algorithm outperforms other existing approaches.
Pooja Tekade WSN, Data Aggregation,Attack Resilient Publication Details Published in : Volume 4 | Issue 2 | March-April 2018 Article Preview
Department of Computer Science and Engineering ACE Nagthana Wardha Maharashtra, India
Prof. Nutan Dhande
Department of Computer Science and Engineering ACE Nagthana Wardha Maharashtra, India
Date of Publication : 2018-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 555-561
Manuscript Number : CSEIT1835152
Publisher : Technoscience Academy