SDAF: A Secure Data Aggregation Framework for Wireless Sensor Networks

Abstract

Abstract-Wireless sensor networks (WSNs) are constrained in terms of memory, computation, communication, and energy. To reduce communication overhead and energy expenditure in (WSNs), data aggregation is used. Data aggregation is a very important technique, but it gives extra opportunity to the adversary to attack the network, inject false messages into the network and trick the base station to accept false aggregation results. This paper presents a secure data aggregation framework (SDAF) for (WSNs). The goal of the framework is to ensure data integrity and data confidentiality. SDAF uses two types of keys. Base station shares a unique key with each sensor node that is used for integrity and the aggregator shares a unique key with each sensor node (within that cluster) that is used for data confidentiality. Sensor nodes calculate a message authentication code (MAC) of the sensed data using shared key with base station, which verifies the MAC for message integrity. Sensor nodes encrypt the sensed data using shared key with aggregator, which ensures data confidentiality. Proposed framework has low communication overhead as the redundant packets are dropped at the aggregators.Index Terms-Security, wireless sensor networks, data aggregation.