Top-$k$ Query Result Completeness Verification in Tiered Sensor Networks

Abstract

Storage nodes are expected to be placed as an intermediate tier of large scale sensor networks for caching the collected sensor readings and responding to queries with benefits of power and storage saving for ordinary sensors. Nevertheless, an important issue is that the compromised storage node may not only cause the privacy problem, but also return fake/incomplete query results. We propose a simple yet effective dummy readingbased anonymization framework, under which the query result integrity can be guaranteed by our proposed verifiable top-k query (VQ) schemes. Compared with existing works, the VQ schemes have a fundamentally different design philosophy and achieve the lower communication complexity at the cost of slight detection capability degradation. Analytical studies, numerical simulations, and prototype implementations are conducted to demonstrate the practicality of our proposed methods.

G-Networks and Their Applications to Machine Learning, Energy Packet Networks and Routing: Introduction to the Special Issue

“…Network worms were also considered, and CPN was used to reroute the users' traffic to avoid the infected nodes (Sakellari and Gelenbe [176], Sakellari, Hey, and Gelenbe [177]). Further research on network security can be found in (Gelenbe et al [87], Gorbil et al [151], Yu et al [185]). …”

Verifiable, privacy-assured, and accurate signal collection for cloud-assisted wireless sensor networks

“…On the other hand, the cloud can be benign but accidentally report incomplete data due to an unexpected misconfiguration/error. Here, inspired by our previous work [15], we propose a dummy reading-based compression framework, where a virtual line segment approach is proposed to reduce the communication overhead and at the same time keep the benefit of detecting data incompleteness, at the expense of increased computation burden on the RCU side. In particular, we propose verifiable, privacy-assured, and accurate signal collection (VPAA) by integrating the rdOPE scheme with the virtual line segment approach.…”

Environment Based Secure Transfer of Data In Wireless Sensor Networks

“…Two approaches carried forward in securing the data in the existing technology were additional evidence and cross check. Additional evidence [1] generates message digest to verify the data. The sender will message digest the data and send to the receiver.…”

“…Brokers are responsible for taking the routing decisions and to direct client queries to the corresponding data servers. Adopting server-side access control for data confidentiality is not sufficient in the existing IBS [1] since adversary can still infer the details of the data which is getting transferred between the brokers. Hence the secure transfer mechanism needs to be implemented for the data communication across the brokers as well.…”