A Decision-Support Tool for Experimentation on Zero-Hour Phishing Detection

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


New, sophisticated phishing campaigns victimize targets in few hours from attack delivery. Some methods, such as visual similarity-based techniques, can spot these zero-hour attacks, at the cost of additional user intervention. However, more research is needed to investigate the trade-off between automatic detection and user intervention. To enable this line of research, we present a phishing detection tool that can be used to instrument scientific research in this direction. The tool can be used for experimentation on assisting user decision-making, evaluating user trust in detection, and keeping track of users’ previous “bad” decisions.

Original languageEnglish
Title of host publicationFoundations and Practice of Security - 15th International Symposium, FPS 2022, Revised Selected Papers
EditorsGuy-Vincent Jourdan, Laurent Mounier, Carlisle Adams, Florence Sèdes, Joaquin Garcia-Alfaro
Number of pages10
ISBN (Print)9783031301216
Publication statusPublished - 2023
Event15th International Symposium on Foundations and Practice of Security, FPS 2022 - Ottawa, Canada
Duration: 12 Dec 202214 Dec 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13877 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference15th International Symposium on Foundations and Practice of Security, FPS 2022

Bibliographical note

Funding Information:
Acknowledgment. The authors thank Ardela Isuf and Sam Cantineau for the implementation of the tool. This work is supported by the ITEA3 programme through the DEFRAUDIfy project funded by Rijksdienst voor Ondernemend Nederland (grant no. ITEA191010).

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.


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