基于复数域的高效完整性保护数据融合算法

EFFICIENT INTEGRITY PROTECTION DATA FUSION ALGORITHM BASED ON COMPLEX FIELD

随着WSNs的快速发展,其应用的领域越来越多。很多领域对数据的隐私性和完整性保护有着极高的要求,所以对传感器网络的安全性要求也更高了。设计一种能够同时兼顾数据隐私性和完整性保护的数据融合算法显得尤为重要,由此提出了一种基于复数域的高效的新数据融合安全算法,在保留原有复数域算法特点的同时,加入分布式验证数据完整性机制,使算法能够快速、高效地检测出被篡改的虚假数据。理论分析与仿真结果表明:算法在不增加能耗的同时,能够降低盲目丢弃率,提高安全性,并能更快速地检测出恶意数据。

With the rapid development of wireless sensor networks, they are applied to more and more fields. As there is a very high demand for data privacy and integrity protection in many fields, a higher requirement for the security of sensor networks is put forward. Therefore, it is very important to design a data fusion algorithm that can take into account both data privacy and integrity protection. In this paper, we propose an efficient and safe new integrity protection data fusion algorithm based on complex field. While retaining the characteristics of the original complex field algorithm, we add distributed data integrity verification mechanism, which enables the algorithm to quickly and efficiently detect the tampered false data. Theoretical analysis and simulation results show that the algorithm can reduce the blind discard rate, improve the security and detect the malicious data more quickly without increasing energy consumption.