SMILE - Smart eMaIl Link Domain Extractor
Mossano, Mattia
1; Berens, Benjamin
1; Heller, Philip 2; Beckmann, Christopher
1; Aldag, Lukas 1; Mayer, Peter
1; Volkamer, Melanie 1
1 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)
2 Karlsruher Institut für Technologie (KIT)
1; Berens, Benjamin
1; Heller, Philip 2; Beckmann, Christopher
1; Aldag, Lukas 1; Mayer, Peter
1; Volkamer, Melanie 11 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)
2 Karlsruher Institut für Technologie (KIT)
Abstract:
Phishing over email continues to be a significant threat, as such messages still end up in users’ inboxes. Several studies showed that users rarely check the URL in the statusbar before clicking a link and that they hav
e difficulties reading URLs. To support users, we propose SMILE (Smart eMaIl Link domain Extractor), a novel approach that provides the relevant information to distinguish between legitimate and phishing emails checking the links in them. Once applied, SMILE modifies all links in an email to contain the domain and top-level-domain of the URL behind them, e.g., “Click here” in an legitimate Amazon email is modified to “Click here [amazon.com]”.
e difficulties reading URLs. To support users, we propose SMILE (Smart eMaIl Link domain Extractor), a novel approach that provides the relevant information to distinguish between legitimate and phishing emails checking the links in them. Once applied, SMILE modifies all links in an email to contain the domain and top-level-domain of the URL behind them, e.g., “Click here” in an legitimate Amazon email is modified to “Click here [amazon.com]”.
| Zugehörige Institution(en) am KIT | Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB) Kompetenzzentrum für angewandte Sicherheitstechnologie (KASTEL) |
| Publikationstyp | Proceedingsbeitrag |
| Publikationsjahr | 2022 |
| Sprache | Englisch |
| Identifikator | ISBN: 978-3-030-95484-0 ISSN: 0302-9743 KITopen-ID: 1000143673 |
| HGF-Programm | 46.23.01 (POF IV, LK 01) Methods for Engineering Secure Systems |
| Erschienen in | Computer Security. ESORICS 2021 International Workshops – CyberICPS, SECPRE, ADIoT, SPOSE, CPS4CIP, and CDT&SECOMANE, Darmstadt, Germany, October 4–8, 2021, Revised Selected Papers. Ed.: S. Katsikas |
| Veranstaltung | European Symposium on Research in Computer Security (ESORICS 2021), Online, 04.10.2021 – 08.10.2021 |
| Verlag | Springer International Publishing |
| Seiten | 403–412 |
| Serie | Lecture Notes in Computer Science (LNCS) ; 13106 |
| Bemerkung zur Veröffentlichung | 4th Workshop on Security, Privacy, Organizations, and System Engineering (SPOSE) |
| Vorab online veröffentlicht am | 08.02.2022 |
| Schlagwörter | Anti-phishing intervention; User support; URL analysis; Anti-phishing tool |
| Nachgewiesen in | Dimensions Scopus |