Combining authentication, reputation and classification to make phishing unprofitable

Amir Herzberg

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

We present and analyze a design of an filtering system to block email phishing messages, combining reputation, authentication and classification mechanisms. We present simple economical model and analysis, showing sufficient conditions on the precision of the content-classifier, to make phishing unprofitable.

Original languageEnglish
Title of host publicationEmerging Challenges for Security, Privacy and Trust - 24th IFIP TC 11 International Information Security Conference, SEC 2009, Proceedings
EditorsDimitris Gritzalis, Javier Lopez
PublisherSpringer New York LLC
Pages13-24
Number of pages12
ISBN (Print)9783642012433
DOIs
StatePublished - 2009
Event24th IFIP TC11 International Information Security Conference, SEC 2009 - Pafos, Cyprus
Duration: 18 May 200920 May 2009

Publication series

NameIFIP Advances in Information and Communication Technology
Volume297
ISSN (Print)1868-4238

Conference

Conference24th IFIP TC11 International Information Security Conference, SEC 2009
Country/TerritoryCyprus
CityPafos
Period18/05/0920/05/09

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