dc.contributor.author | Vidalis, Stilianos | |
dc.contributor.author | Angelopoulou, Olga | |
dc.date.accessioned | 2017-09-14T16:44:08Z | |
dc.date.available | 2017-09-14T16:44:08Z | |
dc.date.issued | 2014-03-01 | |
dc.identifier.citation | Vidalis , S & Angelopoulou , O 2014 , ' Assessing Identity Theft in the Internet of Things ' , Journal of IT Convergence Practice , vol. 2 , no. 1 , pp. 15-21 . < http://inpra.yolasite.com/vol2no1.php > | |
dc.identifier.issn | 2288-0860 | |
dc.identifier.uri | http://hdl.handle.net/2299/19400 | |
dc.description | Published by Innovative Information Science & Technology Research Group (ISYOU) | |
dc.description.abstract | In the Internet of Things everything is interconnected. In the same context that “man-made fire” got the party started for human civilisation, “man-made TCP” enabled computing devices to participate in our lives. Today we live in a socially-driven knowledge centred computing era and we are happy in living our lives based on what an Internet alias have said or done. We are prepared to accept any reality as long as it is presented to us in a digitised manner. The Internet of Things is an emerging technology introduced in Smart Devices that will need to be intergrated with the current Information Technology infrastructure in terms of its application and security considerations. In this paper we explore the identity cyberattacks that can be related to Internet of Things and we raise our concerns. We also present a vulnerability assessment model that attempts to predict how an environment can be influenced by this type of attacks. | en |
dc.format.extent | 7 | |
dc.format.extent | 832755 | |
dc.language.iso | eng | |
dc.relation.ispartof | Journal of IT Convergence Practice | |
dc.subject | Internet of Things | |
dc.subject | Vulnerability | |
dc.subject | Information Security | |
dc.subject | Identity theft | |
dc.title | Assessing Identity Theft in the Internet of Things | en |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.contributor.institution | Department of Computer Science | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.description.status | Peer reviewed | |
dc.identifier.url | http://inpra.yolasite.com/vol2no1.php | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |