Analysing privacy concerns in smartcameras: in correlation with GDPR and Privacy by Design
2021 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student thesis
Abstract [en]
Background. The right to privacy is every persons right, data regulation laws suchas the GDPR and privacy preserving concepts like Privacy by Design (PbD) aid inthis matter. IoT devices are highly vulnerable to attacks because of their limitedstorage and processing capabilities, even more so for internet connected cameras.With the use of security auditing techniques and privacy analysis methods it ispossible to identify security and privacy issues for Internet of Things (IoT) devices.
Objectives. The research aims to evaluate three selected IoT cameras’ ability toprotect privacy of their consumers. As well as investigating the role GDPR and PbDhas in the design and operation of each device.
Methods. A literature review was performed in order to gain valuable knowledgeof how to design a case study that would evaluate privacy issues of IoT devices incorrelation with GDPR and PbD. The case study consists of 14 cases designed toexplore security and privacy related issues. They were executed in a monitored andcontrolled network environment to detect data flow between devices.
Results. There was a noticeable difference in the security and privacy enhancingtechnologies used between some manufactures. Furthermore, there was a distinctdisparity of how transparent each system was with the processed data, which is acrucial part of both GDPR and PbD.
Conclusions. All three companies had taken GDPR and PbD into considerationin the design on the IoT systems, however to different extents. One of the IoTmanufactures could benefit from incorporating PbD more thoroughly into the designand operation of their product. Also the GDPR could benefit from having referencesto security standards and frameworks in order simplify the process for companies tosecure their systems.
Place, publisher, year, edition, pages
2021. , p. 80
Keywords [en]
Privacy by Design, GDPR, IoT, security, data management
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-21980OAI: oai:DiVA.org:bth-21980DiVA, id: diva2:1579015
External cooperation
Knowit
Subject / course
DV2572 Master´s Thesis in Computer Science
Educational program
DVACO Master's program in computer science 120,0 hp
Supervisors
Examiners
2021-07-082021-07-072021-07-08Bibliographically approved