Ppwsim: Privacy Preserving Wireless Sensor Network Simulator

Hrovatin, Niki; Tošić, Aleksandar; Vičič, Jernej

doi:10.2139/ssrn.3978796

Cited by 2 publications

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“…Since the detailed simulation description can be found in [53], in the following, we will outline the simulator parameters selected to obtain network delay results.…”

Section: Methodsmentioning

confidence: 99%

“…As described in [53], the simulator operates by issuing OMs from a node in the center of the network. OMs are issued sequentially; after an OM returns back to the issuer node, the following OM is issued.…”

Section: Methodsmentioning

confidence: 99%

“…To evaluate the data filtering and aggregation duration, we used the simulator PP-WSim [53]. PPWSim is based on the NS3 discrete-event simulation environment for Internet systems [54] and is designed to simulate the General Purpose Data and Query Privacy Preserving Protocol described in [13] and estimate network delays.…”

Section: Data Filtering and Aggregationmentioning

confidence: 99%

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A WSN Framework for Privacy Aware Indoor Location

2022

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In the past two decades, technological advancements in smart devices, IoT, and smart sensors have paved the way towards numerous implementations of indoor location systems. Indoor location has many important applications in numerous fields, including structural engineering, behavioral studies, health monitoring, etc. However, with the recent COVID-19 pandemic, indoor location systems have gained considerable attention for detecting violations in physical distancing requirements and monitoring restrictions on occupant capacity. However, existing systems that rely on wearable devices, cameras, or sound signal analysis are intrusive and often violate privacy. In this research, we propose a new framework for indoor location. We present an innovative, non-intrusive implementation of indoor location based on wireless sensor networks. Further, we introduce a new protocol for querying and performing computations in wireless sensor networks (WSNs) that preserves sensor network anonymity and obfuscates computation by using onion routing. We also consider the single point of failure (SPOF) of sink nodes in WSNs and substitute them with a blockchain-based application through smart contracts. Our set of smart contracts is able to build the onion data structure and store the results of computation. Finally, a role-based access control contract is used to secure access to the system.

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“…Since the detailed simulation description can be found in [53], in the following, we will outline the simulator parameters selected to obtain network delay results.…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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A WSN Framework for Privacy Aware Indoor Location

2022

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Privacy-Aware and Secure Decentralized Air Quality Monitoring

et al. 2022

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Indoor Air Quality monitoring is a major asset to improving quality of life and building management. Today, the evolution of embedded technologies allows the implementation of such monitoring on the edge of the network. However, several concerns need to be addressed related to data security and privacy, routing and sink placement optimization, protection from external monitoring, and distributed data mining. In this paper, we describe an integrated framework that features distributed storage, blockchain-based Role-based Access Control, onion routing, routing and sink placement optimization, and distributed data mining to answer these concerns. We describe the organization of our contribution and show its relevance with simulations and experiments over a set of use cases.

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Ppwsim: Privacy Preserving Wireless Sensor Network Simulator

Cited by 2 publications

References 0 publications

A WSN Framework for Privacy Aware Indoor Location

A WSN Framework for Privacy Aware Indoor Location

Privacy-Aware and Secure Decentralized Air Quality Monitoring

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