CHESDA: continuous hybrid and energy-efficient secure data aggregation for WSN
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CHESDA: continuous hybrid and energy‑efficient secure data aggregation for WSN R. Hajian1 · S. H. Erfani2 Accepted: 12 October 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Data aggregation is an effective mechanism to prolong lifetime in the wireless sensor networks by preventing extra data transmission. However, it may have some adverse effects on accuracy, confidentiality, delay, and privacy preserving. Sensing nodes tends to trade-off between energy demand and security issue. Data can be filtered by temporal correlation of sensory data, and thus, network traffic is controlled. Furthermore, data transmission via unnecessary nodes can be controlled by spatial correlation of sensing devices. This, in turn, prolongs network lifetime. CBDA algorithm was proposed by Hu et al. as a technique based on tree and chain formation and slice-mixing. However, we showed the proposed scheme was vulnerable to stolen key set attack and failed to provide forward secrecy. This has been fixed in proposed key distribution and agreement scheme. In this paper, we propose a continuous hybrid and energy-efficient secure data aggregation (CHESDA) algorithm that trades off between privacy preserving, data integrity, communication overload, delay and accuracy and then chooses the best scenario based on application and importance of the parameters. Here, privacy preserving is maintained by slicemixing technique. Fuzzy logic is applied to choose optimal slicing in each subtree, and GNY logic is utilized to verify key authentication scheme. Results of analysis and simulations indicate that CHESDA, compared to PECDA and SMART, is more energy-efficient and highly secure with lower communication overhead. Keywords Wireless sensor network (WSN) · Secure data aggregation · Real-time networks · Temporal-spatial correlation · Fuzzy logic · Authentication · GNY logic
* S. H. Erfani [email protected] R. Hajian [email protected] 1
Department of Information Technology Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
2
Department of Computer, South Tehran Branch, Islamic Azad University, Tehran, Iran
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R. Hajian, S. H. Erfani
1 Introduction Wireless sensor network (WSN) is a distributed and battery-operated network that consists of inexpensive sensor nodes characterized by sensing the environment, low energy consumption, real-time processing, scalability, and distributed management [1]. Rapid growth of WSN environments has recently drawn the scholarly attention, as they are applied in military, healthcare system, smart city, and environmental monitoring. However, WSN protocols have some limitations in their design, such as data confidentiality, privacy preserving, data integrity, low latency in real-time networks, accuracy, energy efficiency, storage capacity, and computational overhead. Data aggregation is an effective mechanism to save energy and prolong network lifetime [2, 3]. It is an in-network processing technique that combines and processes data t
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