Secure Data Aggregation in Wireless Sensor Networks Filtering out the Attackers Impact
|Name||Secure Data Aggregation in Wireless Sensor Networks Filtering out the Attackers Impact|
volcano and fire monitoring, urban sensing, and perimeter surveillance these wireless sensor network are commonly used in the application. in big network issue is it educes 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. However, this aggregation framework does not address the problem of false subaggregate 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. Here we provide 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.
|ieee paper year||2015|