Visible to the public MSCLP: Multi-Sinks Cluster-Based Location Privacy Protection scheme in WSNs for IoT

TitleMSCLP: Multi-Sinks Cluster-Based Location Privacy Protection scheme in WSNs for IoT
Publication TypeConference Paper
Year of Publication2020
AuthorsHussien, Zainab Waleed, Qawasmeh, Doaa Sami, Shurman, Mohammad
Conference Name2020 32nd International Conference on Microelectronics (ICM)
Date PublishedDec. 2020
PublisherIEEE
ISBN Number978-1-7281-9664-0
Keywordscompositionality, delay, delays, Dynamic routing, energy consumption, Human Behavior, location privacy, Location Privacy in Wireless Networks, Measurement, Metrics, Microelectronics, Multi sinks, privacy, pubcrawl, resilience, Resiliency, Routing, source location privacy, wireless networks, Wireless sensor networks, WSNs
AbstractOne of the most important information in Wireless Sensor Networks (WSNs) is the location of each sensor node. This kind of information is very attractive to attackers for real position exposure of nodes making the whole network vulnerable to different kinds of attacks. According to WSNs privacy, there are two types of threats affect the network: Contextual and Content privacy. In this work, we study contextual privacy, where an eavesdropper tries to find the location of the source or sink node. We propose a Multi-Sinks Cluster-Based Location Privacy Protection (MSCLP) scheme in WSNs that divides the WSN into clusters, each cluster managed by one cluster head (CH). Each CH sends random fake packets in a loop then sends the real packet to the neighbor's CHs using a dynamic routing method to confuse the attacker from tracing back the real packet to reveal the actual location of the source node, we are taking in our consideration two important metrics: the energy consumption, and the delay.
URLhttps://ieeexplore.ieee.org/document/9331785
DOI10.1109/ICM50269.2020.9331785
Citation Keyhussien_msclp_2020