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Eugen Saraci

dblp:224/4536 · DBLP profile ↗
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3ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 3 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Authentication and access control · 67% Usable security · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Authentication and access control
knowledge-based authentication
0.612022
Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand · USENIX Security Symposium 2022
Authentication and access control › password guessing
PIN inference
0.612022
Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand · USENIX Security Symposium 2022
Usable security
shoulder surfing
0.612022
Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand · USENIX Security Symposium 2022

Methods — techniques the papers use, named apart from their topics

hand pose inference · 0.6
YearPublicationVenuePosition
2022 Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand
Matteo Cardaioli, Stefano Cecconello, Mauro Conti, Simone Milani, Stjepan Picek, Eugen Saraci
USENIX Security Symposium6
2019 PILOT: Password and PIN information leakage from obfuscated typing videos
abstract
This paper studies leakage of user passwords and PINs based on observations of typing feedback on screens or from projectors in the form of masked characters (∗ or ∙) that indicate keystrokes. To this end, we developed an attack called Password and Pin Information Leakage from Obfuscated Typing Videos ( PILOT ). Our attack extracts inter-keystroke timing information from videos of password masking characters displayed when users type their password on a computer, or their PIN at an ATM. We conducted several experiments in various attack scenarios. Results indicate that, while in some cases leakage is minor, it is quite substantial in others. By leveraging inter-keystroke timings, PILOT recovers 8-character alphanumeric passwords in as little as 19 attempts. When guessing PINs, PILOT significantly improved on both random guessing and the attack strategy adopted in our prior work (In European Symposium on Research in Computer Security ( 2018 ) 263–280 Springer). In particular, we were able to guess about 3% of the PINs within 10 attempts. This corresponds to a 26-fold improvement compared to random guessing. Our results strongly indicate that secure password masking GUIs must consider the information leakage identified in this paper.
Kiran S. Balagani, Matteo Cardaioli, Mauro Conti, Paolo Gasti, Martin Georgiev, Tristan Gurtler, Daniele Lain, Charissa Miller, Kendall Molas, Nikita Samarin, Eugen Saraci, Gene Tsudik, Lynn Wu
J. Comput. Secur.11
2018 SILK-TV: Secret Information Leakage from Keystroke Timing Videos
Kiran S. Balagani, Mauro Conti, Paolo Gasti, Martin Georgiev, Tristan Gurtler, Daniele Lain, Charissa Miller, Kendall Molas, Nikita Samarin, Eugen Saraci, Gene Tsudik, Lynn Wu
ESORICS (1)10