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Honeyquest: Rapidly Measuring the Enticingness of Cyber Deception
  Techniques with Code-based Questionnaires

Honeyquest: Rapidly Measuring the Enticingness of Cyber Deception Techniques with Code-based Questionnaires

20 August 2024
Mario Kahlhofer
Stefan Achleitner
Stefan Rass
René Mayrhofer
ArXivPDFHTML

Papers citing "Honeyquest: Rapidly Measuring the Enticingness of Cyber Deception Techniques with Code-based Questionnaires"

4 / 4 papers shown
Title
A Case Study on the Use of Representativeness Bias as a Defense Against Adversarial Cyber Threats
A Case Study on the Use of Representativeness Bias as a Defense Against Adversarial Cyber Threats
Briland Hitaj
Grit Denker
L. Tinnel
Michael McAnally
Bruce DeBruhl
...
Daniel Aaron
Richard D. Roberts
Joshua Lawson
Greg McCain
Dylan Starink
AAML
36
0
0
28 Apr 2025
Koney: A Cyber Deception Orchestration Framework for Kubernetes
Koney: A Cyber Deception Orchestration Framework for Kubernetes
Mario Kahlhofer
Matteo Golinelli
Stefan Rass
OffRL
59
0
0
03 Apr 2025
Towards Causal Models for Adversary Distractions
Towards Causal Models for Adversary Distractions
Ron Alford
A. Applebaum
AAML
26
1
0
21 Apr 2021
A Survey on Honeypot Software and Data Analysis
A Survey on Honeypot Software and Data Analysis
Marcin Nawrocki
Matthias Wählisch
T. Schmidt
Christian Keil
Jochen Schönfelder
51
155
0
22 Aug 2016
1