Show simple item record

dc.contributor.authorSänger, Johannes
dc.contributor.authorPernul, Günther
dc.date2018-08-01
dc.date.accessioned2018-08-13T19:58:17Z
dc.date.available2018-08-13T19:58:17Z
dc.date.issued2018
dc.identifier.issn1867-0202
dc.identifier.urihttp://dx.doi.org/10.1007/s12599-017-0493-1
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/16722
dc.description.abstractEarly reputation systems use simple computation metrics that can easily be manipulated by malicious actors. Advanced computation models that mitigate their weaknesses, however, are non-transparent to the end-users thus lowering their understandability and the users’ trust towards the reputation system. The paper proposes the concept of interactive reputation systems that combine the cognitive capabilities of the user with the advantages of robust metrics while preserving the system’s transparency. Results of the evaluation show that interactive reputation systems increase both the users’ detection ability (robustness) and understanding of malicious behavior while avoiding trade-offs in usability.de
dc.publisherSpringer
dc.relation.ispartofBusiness & Information Systems Engineering: Vol. 60, No. 4
dc.relation.ispartofseriesBusiness & Information Systems Engineering
dc.subjectInformation security
dc.subjectreputation systems
dc.subjectTrust
dc.subjectVisual analytics
dc.titleInteractive Reputation Systems - How to Cope with Malicious Behavior in Feedback Mechanismsde
dc.typeText/Journal Article
mci.reference.pages273-287
dc.identifier.doi10.1007/s12599-017-0493-1


Files in this item

FilesSizeFormatView

There are no files associated with this item.

Show simple item record