BFAN: A Bloom Filter-Based Authentication in Wireless Sensor Networks | IEEE Conference Publication | IEEE Xplore

BFAN: A Bloom Filter-Based Authentication in Wireless Sensor Networks


Abstract:

Wireless Sensor Networks are often deployed in unattended environments and thus an adversary could inject misleading information in the network and even fool other nodes,...Show More

Abstract:

Wireless Sensor Networks are often deployed in unattended environments and thus an adversary could inject misleading information in the network and even fool other nodes, making them believe it is an authentic device. Different approaches in the literature have addressed this problem while taking into account the performance requirements of sensors (QoS, Memory, CPU). The most promising approaches are based on key disclosure. However, these approaches introduce delay in authentication and are thus susceptible to denial-of-service (DoS) attacks. In addition, delayed key disclosure schemes do not minimize the energy consumption overhead. In this paper, we propose an efficient authentication mechanism which integrates a Bloom Filter in order to authenticate sensors. We demonstrate that the use of multiple MACs in delayed key disclosure schemes, with the integration of Bloom filter, mitigates the risk of DoS attacks. We assess the feasibility of our protocol with a set of scenarios. Our results confirm that our authentication protocol is reducing the false positive rate of a Bloom Filter.
Date of Conference: 25-29 June 2018
Date Added to IEEE Xplore: 30 August 2018
ISBN Information:
Electronic ISSN: 2376-6506
Conference Location: Limassol, Cyprus

References

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