Publikationer från Malmö universitet
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PRASH: A Framework for Privacy Risk Analysis of Smart Homes.
Malmö universitet, Internet of Things and People (IOTAP). Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).ORCID-id: 0000-0003-0546-072X
Malmö universitet, Internet of Things and People (IOTAP). Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).ORCID-id: 0000-0002-8512-2976
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT). Malmö universitet, Internet of Things and People (IOTAP).ORCID-id: 0000-0003-0998-6585
2021 (engelsk)Inngår i: Sensors, E-ISSN 1424-8220, Vol. 21, nr 19, artikkel-id 6399Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Smart homes promise to improve the quality of life of residents. However, they collect vasts amounts of personal and sensitive data, making privacy protection critically important. We propose a framework, called PRASH, for modeling and analyzing the privacy risks of smart homes. It is composed of three modules: a system model, a threat model, and a set of privacy metrics, which together are used for calculating the privacy risk exposure of a smart home system. By representing a smart home through a formal specification, PRASH allows for early identification of threats, better planning for risk management scenarios, and mitigation of potential impacts caused by attacks before they compromise the lives of residents. To demonstrate the capabilities of PRASH, an executable version of the smart home system configuration was generated using the proposed formal specification, which was then analyzed to find potential attack paths while also mitigating the impacts of those attacks. Thereby, we add important contributions to the body of knowledge on the mitigations of threat agents violating the privacy of users in their homes. Overall, the use of PRASH will help residents to preserve their right to privacy in the face of the emerging challenges affecting smart homes.

sted, utgiver, år, opplag, sider
MDPI, 2021. Vol. 21, nr 19, artikkel-id 6399
Emneord [en]
IoT, attack taxonomy, privacy, privacy metrics, risk analysis, smart home, system model, threat model
HSV kategori
Identifikatorer
URN: urn:nbn:se:mau:diva-46396DOI: 10.3390/s21196399ISI: 000759972000012PubMedID: 34640718Scopus ID: 2-s2.0-85115805495OAI: oai:DiVA.org:mau-46396DiVA, id: diva2:1603907
Tilgjengelig fra: 2021-10-18 Laget: 2021-10-18 Sist oppdatert: 2024-02-05bibliografisk kontrollert

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Bugeja, JosephJacobsson, AndreasDavidsson, Paul

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