dc.contributor.author
Kokoliou, Aikaterini
el
dc.date.accessioned
2018-05-09T08:59:43Z
dc.date.available
2018-05-10T00:00:17Z
dc.date.issued
2018-05-09
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/29108
dc.rights
Default License
dc.title
Security and privacy in Internet of Things
en
heal.type
masterThesis
en_US
heal.generalDescription
Theoretical background study on IoT security and privacy together with an implementation of an embedded solution consisting of two designed and developed IoT devices and a mobile application to safely communicate and handle them inside a local network
en
heal.keywordURI.LCSH
Internet of things
heal.keywordURI.LCSH
Internet of things--Security measures
heal.keywordURI.LCSH
Computer security
heal.keywordURI.LCSH
Computer networks--Security measures
heal.contributorName
Kalloniatis, Christos
el
heal.license
http://creativecommons.org/licenses/by-nc/4.0
en_US
heal.recordProvider
School of Science and Technology, MSc in Mobile and Web Computing
en_US
heal.publicationDate
2018-05-02
heal.abstract
This dissertation was written as a part of the MSc in Mobile and Web Computing at the International Hellenic University.
The Internet of Things (IoT) is taking advantage of the Internet and other wireless technologies to make physical objects interact online. It is a promising technology and receives research and public attention in the recent years.
IoT is still very young and despite the inevitable progress in the field, it contains privacy and security risks. Researches and applications of the IoT are in an early stage and to preserve peoples’ privacy, the security of IoT must be strengthen.
Following this path, this thesis proposes the use of a Raspberry pi as a security counter-measure. The Raspberry pi acting as a server, an access point and a role base model secures the communication between an android application and the sensors attached to it. Giving the opportunity to a mobile application to handle any kind of device attached. To demonstrate the proposed technique, a mobile application will be developed, a software component on the Raspberry pi to support the mentioned functionalities and also hand-made printed circuits boards to simulate simple sensor functionalities.
At this point I would like to thank my supervisor, Dr. Christos Kalloniatis, for the encouragement, motivation, enthusiasm, guidance and advice he has provided in all time of re-search and writing of this thesis. I have been extremely lucky to have a supervisor who cared so much about my work, and who responded so promptly to all my questions and queries.
en
heal.advisorName
Kalloniatis, Christos
el
heal.committeeMemberName
Kalloniatis, Christos
en
heal.committeeMemberName
Katsikas, Sokratis
en
heal.committeeMemberName
Baltatzis, Dimitris
en
heal.academicPublisher
IHU
en
heal.academicPublisherID
ihu
en_US