On Security Threats and Solutions for the Future Smart Home Exploring the Viability of Intrusion Detection in a Centralized Smart Hub

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dc.contributor.authorLarsson, Matz
dc.contributor.authorLipkin, Lisa
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)sv
dc.contributor.departmentChalmers University of Technology / Department of Computer Science and Engineering (Chalmers)en
dc.date.accessioned2019-07-03T14:58:52Z
dc.date.available2019-07-03T14:58:52Z
dc.date.issued2019
dc.description.abstractSecurity in smart homes is becoming increasingly important as more and more devices are becoming available on the market and the information that they handle is of a sensitive nature. Historical attacks have shown that smart homes can contribute to attacks that could have severe consequences both for their users and for society. While much work is being done on finding security solutions for IoT and smart homes, there has yet to be a consensus on what solutions are optimal. In this thesis we present the state of research in the field and introduce a potential security solution for the smart home. The security solution, called the security supervisor, is a network-based solution located in a smart hub which detects malicious activity within a smart home network. Detection of two attacks are implemented as a proof-of-concept, namely botnet device detection and Evil-Twin attack detection. The results show that the security supervisor is able to detect the former but not the latter, but the authors argue that a similar platform would be able to contribute to increased security and mitigate many threats towards smart homes.
dc.identifier.urihttps://hdl.handle.net/20.500.12380/256483
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectData- och informationsvetenskap
dc.subjectComputer and Information Science
dc.titleOn Security Threats and Solutions for the Future Smart Home Exploring the Viability of Intrusion Detection in a Centralized Smart Hub
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeComputer systems and networks (MPCSN), MSc
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