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Ethical Hacking of a Smart Fridge: Evaluating the cybersecurity of an IoT device through gray box hacking
KTH, School of Electrical Engineering and Computer Science (EECS).
KTH, School of Electrical Engineering and Computer Science (EECS).
2021 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Etisk Hackning av ett Smart Kylskåp (Swedish)
Abstract [en]

With the increasing popularity of Internet of Things (IoT) devices, a complete smart home is becoming more of a reality. Thus the security of said devices is becoming increasingly more important. Unsecured IoT devices could lead to potential consequences of societal proportion. Therefore there is an entire industry dedicated to mitigating such security threats and contributing to a sustainable society. The security of a Samsung Smart Refrigerator was evaluated in this thesis. The methodology implemented followed a gray box approach and consisted of initially creating a threat model, indicating potential vulnerabilities, and then using the said model to design penetration tests to assess the findings. It was concluded that the fridge was secure in the scope of this thesis. However, grounds for further research were discovered. 

Abstract [sv]

Med den ökande populariteten för IoT-enheter (Internet of Things) blir ett komplett smart hem alltmer verklighet. Säkerheten för dessa enheter blir därför allt viktigare. Osäkrade IoT-enheter kan leda till potentiella konsekvenser av samhällelig omfattning. Därför finns det en hel industri som ägnar sig åt att mildra sådana säkerhetshot och bidra till ett hållbart samhälle. Säkerheten hos ett smart kylskåp från Samsung utvärderades i denna avhandling. Den metod som tillämpades följde en grå box-strategi och bestod av att först skapa en hot modell, ange potentiella sårbarheter och sedan använda nämnda modell för att utforma penetrationstester för att bedöma resultaten. Slutsatsen blev att kylskåpet var säkert inom ramen för denna avhandling. Det upptäcktes dock skäl för ytterligare forskning.

Place, publisher, year, edition, pages
2021. , p. 46
Series
TRITA-EECS-EX ; 2021:451
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-302373OAI: oai:DiVA.org:kth-302373DiVA, id: diva2:1596057
Subject / course
Computer Science
Educational program
Master of Science in Engineering - Computer Science and Technology
Supervisors
Examiners
Available from: 2021-09-22 Created: 2021-09-21 Last updated: 2022-06-25Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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