On the Road to Secure and Privacy-Preserving IoT Ecosystems

Hernández-Serrano, Juan; Muñoz, José L.; Bröring, Arne; Esparza, Óscar; Mikkelsen, Lars Pilgaard; Schwarzott, Wolfgang; León, Olga; Zibuschka, Jan

doi:10.1007/978-3-319-56877-5_7

Cited by 7 publications

(9 citation statements)

References 2 publications

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“…OECD reported [19] that privacy incidents are growing in both number and sophistication. Similar concerns are expressed by several academic articles which suggest lack of privacy including unauthorized surveillance or eavesdropping [20] as a major concern for individuals.…”

Section: Review Of Privacy Literature With Specific Iot Focussupporting

confidence: 53%

“…The lifecycle of an IoT service or product is shown in Figure 2. • Products which provide audit mechanism while dealing with PII [20] • Products which notify user to provide dynamic consent for data use [37] • Products which stop working properly when consent is not given by user [38] • Firmware upgrade and patchability of IoT devices [24] are available.…”

Section: Consumer-centric Approachmentioning

confidence: 99%

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Privacy of IoT-Enabled Smart Home Systems

Dasgupta¹,

Gill²,

Hussain³

2019

IoT and Smart Home Automation [Working Title]

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Digital ecosystems are going through a period of change due to the advancement in technologies such as Internet of Things (IoT) as well as proliferation of less expensive hardware sensors. Through this chapter, we present current emerging trends in IoT in different industry sectors as well as discuss the key privacy challenges impeding the growth of IoT to reach its potential in the smart home context. The majority of the existing literature on IoT smart home platforms focuses on functionalities provided by smarter connected devices; however, it does not address the concerns from a consumer's viewpoint. Thus, the key questions are: What are the privacy concerns related to IoT, particularly from a "smart home device" consumer viewpoint? What are the existing remedial approaches for privacy management? This chapter proposes a framework to assist smart home user and IoT device manufacturer to make informed privacy management decisions. The findings of this research intend to help practitioners and researchers interested in the privacy of IoT-enabled smart systems.

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Section: Review Of Privacy Literature With Specific Iot Focussupporting

confidence: 53%

Section: Consumer-centric Approachmentioning

confidence: 99%

Privacy of IoT-Enabled Smart Home Systems

Dasgupta¹,

Gill²,

Hussain³

2019

IoT and Smart Home Automation [Working Title]

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“…Besides the evident benefits that can be achieved by such IoT ecosystems, dealing with security and privacy in the IoT is more challenging and more complex than it is in conventional networks, mainly by 4 reasons: 1) a very dynamic set of services and applications intensively handling data types with also very dynamic formats; 2) a multitude of usage scenarios, 1 http://big-iot.eu Figure 1. The BIG IoT approach for building an ecosystem of IoT platforms (source: [2]). 2 stakeholder settings for data provisioning and usage; 3) the high speed of information propagation and tool development in an IoT ecosystem; and 4) the lack of a simple security methodology that does not rely on long lists of factors that are complex to apply.…”

Section: Introductionmentioning

confidence: 99%

“…The BIG IoT approach for building an ecosystem of IoT platforms (source: [2]). 2 stakeholder settings for data provisioning and usage; 3) the high speed of information propagation and tool development in an IoT ecosystem; and 4) the lack of a simple security methodology that does not rely on long lists of factors that are complex to apply.…”

Section: Introductionmentioning

confidence: 99%

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Privacy risk analysis in the IoT domain

Hernández-Serrano

Muñoz

León

et al. 2018

2018 Global Internet of Things Summit (GIoTS)

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Most IoT systems are using or exchanging user related information between system components. This means that privacy is a key factor in these systems. Privacy, both in terms of not allowing unauthorized access to information, but also in terms of handling sensitive information correctly and responsibly. As IoT systems typically are comprised of many software and hardware distributed components, ensuring privacy is a challenging task. This paper proposes a risk rating methodology for identifying and rating privacy risks, and demonstrates how to apply this methodology in an IoT use case set in the context of the EU H2020 BIG IoT project. It is also demonstrated how to handle the results of the risk rating methodology.

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