A Survey on Privacy Preserving Data Aggregation Protocols for Wireless Sensor Networks

Jose, Joyce; Jose, Jobin; Princy, M.

doi:10.2498/cit.1002318

Cited by 11 publications

(7 citation statements)

References 37 publications

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“…In the smart city, sensory data integrity is essential to ensure that the content data are not revealed during data aggregation [26]. There are two approaches to protecting data aggregation: the end to end scheme [27] and the hope by hope scheme [28]. In our work, we consider the end to end scheme based on secret sharing because the data do not need to be encrypted, thus reducing energy.…”

Section: Secret Sharingmentioning

confidence: 99%

A unified framework for data integrity protection in people-centric smart cities

Altulyan

Yao

Kanhere

et al. 2019

Multimed Tools Appl

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With the rapid increase in urbanisation, the concept of smart cities has attracted considerable attention. By leveraging emerging technologies such as the Internet of Things (IoT), artificial intelligence and cloud computing, smart cities have the potential to improve various indicators of residents quality of life.However, threats to data integrity may affect the delivery of such benefits, especially in the IoT environment where most devices are inherently dynamic and have limited resources. Prior work has focused on ensuring integrity of data in a piecemeal manner and covering only some parts of the smart city ecosystem. In this paper, we address integrity of data from an end-to-end perspective, i.e., from the data source to the data consumer. We propose a holistic framework for ensuring integrity of data in smart cities that covers the entire data lifecycle. Our framework is founded on three fundamental concepts, namely, secret sharing, fog computing and blockchain. We provide a detailed description of various components of the framework and also utilize smart healthcare as use case.

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Section: Secret Sharingmentioning

confidence: 99%

A unified framework for data integrity protection in people-centric smart cities

Altulyan

Yao

Kanhere

et al. 2019

Multimed Tools Appl

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“…针对敏感数据信息的保护贯穿于网络中的每个层次, 目前保护敏感数据的方法主要包括以下两类: 一种通过修改或隐藏原始信息的局部或全局敏感数据来保护隐私, 主要的方法有 k-匿名 [195] 、l-多样性 [196] 、差分隐私 [197] 等; 另一种是通过加密技术对信息进行保护, 主要的方法有同态加密技术、安全多方计算等. 在感知层, 隐私保护主要包括节点内部的隐私保护和整个传感器网络的隐私保护 [198] . 在传输层, 结合传输层安全协议采用加密技术实现数据隐私保护.…”

Section: 隐私保护unclassified

网络空间安全综述

Dongdai¹,

Wenbao²,

Li³

et al. 2016

Sci. Sin.-Inf.

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“…For preserving link information in the network, most work has concentrated on the perception layer and the transportation layer [192]. During information transmission, an adversary can obtain some private information about users through tracking the transmission path.…”

Section: Privacy Preservationmentioning

confidence: 99%

Survey on cyberspace security

Zhang

Han²,

Lai

et al. 2015

Sci. China Inf. Sci.

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Along with the rapid development and wide application of information technology, human society has entered the information era. In this era, people live and work in cyberspace. Cyberspace is the collection of all information systems; it is the information environment for human survival. Therefore, it is necessary to ensure the security of cyberspace. This paper gives a comprehensive introduction to research and development in this field, with a description of existing problems and some currently active research topics in the areas of cyberspace itself, cyberspace security, cryptography, network security, information system security and information content security.

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A Survey on Privacy Preserving Data Aggregation Protocols for Wireless Sensor Networks

Cited by 11 publications

References 37 publications

A unified framework for data integrity protection in people-centric smart cities

A unified framework for data integrity protection in people-centric smart cities

网络空间安全综述

Survey on cyberspace security

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