The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Importance of a Versatile Logging Tool for Behavioural Biometrics and Continuous Authentication Research
Abstract
We present the design and implementation of a Windows operating system based logging tool, which can capture the keystroke, mouse, software interaction and hardware usage simultaneously and continuously. Log data can be stored locally or transmitted in a secure manner to a server. Filter drivers are used to log with high precision. Privacy of the users and confidentiality of sensitive data have been taken into account throughout the development of the tool. Our behaviour logging software is mainly designed for behavioural biometrics research, but its scope could also be beneficial to proactive forensics and intrusion detection. We show the validity of the tool in a study of keyboard and mouse data uses for continuous authentication.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A significant limitation of Li et al.'s work is that detecting key dynamics required the installation of a custom-developed keylogger called BeLT because traditional chat clients do not record and transmit these.
“A significant limitation of this work is that detecting key dynamics, such as the latency between releasing the first and pressing the second key, required the installation of a custom-developed keylogger called BeLT (Mondal et al., 2017) because traditional chat clients do not record and transmit these.”
From Tainted Love: a Systematic Literature Review of Online Romance Scam Research (2023) · cites this paper as Mondal et al., 2017
Citations
Cites
Soft Biometric Traits for Personal Recognition Systems
Jain, A. K., Dass, S. C., & Nandakumar, K. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-25948-0_99 · Cited by 428
Behavioural biometrics: a survey and classification
Yampolskiy, R. V., & Govindaraju, V. (2008) · International Journal of Biometrics · doi:10.1504/ijbm.2008.018665 · Cited by 312
User identification and authentication using multi-modal behavioral biometrics
Bailey, K. O., Okolica, J. S., & Peterson, G. L. (2014) · Computers & Security · doi:10.1016/j.cose.2014.03.005 · Cited by 163
Continuous keystroke dynamics: A different perspective towards biometric evaluation
Bours, P. (2012) · Information Security Technical Report · doi:10.1016/j.istr.2012.02.001 · Cited by 149
Self-citationNakkabi, Y., Traoré, I., & Ahmed, A. A. E. (2010) · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · doi:10.1109/tsmca.2010.2052602 · Cited by 94
Combining Mouse and Keystroke Dynamics Biometrics for Risk-Based Authentication in Web Environments
Traoré, I., Woungang, I., Obaidat, M. S., et al. (2012) · International Conference on Digital Home (ICDH) · doi:10.1109/icdh.2012.59 · Cited by 83
RUI: Recording user input from interfaces under Windows and Mac OS X
Kukreja, U., Stevenson, W. E., & Ritter, F. E. (2006) · Behavior Research Methods · doi:10.3758/bf03193898 · Cited by 74
Information Loss of the Mahalanobis Distance in High Dimensions: Application to Feature Selection
Ververidis, D., & Kotropoulos, C. L. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.84 · Cited by 54
Continuous authentication using mouse dynamics
Mondal, S., & Bours, P. (2013) · Cited by 49
Self-citationDeveloping a Keystroke Biometric System for Continual Authentication of Computer Users
Monaco, J. V., Bakelman, N., Cha, S.-H., & Tappert, C. C. (2012) · European Intelligence and Security Informatics Conference · doi:10.1109/eisic.2012.58 · Cited by 41
AppMonitor: A tool for recording user actions in unmodified Windows applications
Alexander, J., Cockburn, A., & Lobb, R. (2008) · Behavior Research Methods · doi:10.3758/brm.40.2.413 · Cited by 31
A novel approach to design of user re-authentication systems
Jagadeesan, H., & Hsiao, M. S. (2009) · IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS) · doi:10.1109/btas.2009.5339075 · Cited by 28
USim: A User Behavior Simulation Framework for Training and Testing IDSes in GUI Based Systems
Garg, A., Vidyaraman, S., Upadhyaya, S., et al. (2006) · Proceedings - Simulation Symposium/Proceedings of the ... annual Simulation Symposium · doi:10.1109/anss.2006.45 · Cited by 14
Widam - Web Interaction Display and Monitoring.
Gamboa, H. F. S., & Ferreira, V. (2003) · Cited by 12
User authentication through biometric sensors and decision fusion
Acharya, S., Fridman, A., Brennan, P., Juola, P., Greenstadt, R., & Kam, M. (2013) · Conference on Information Sciences and Systems · doi:10.1109/ciss.2013.6552271 · Cited by 11
Continuous Authentication using Fuzzy Logic
Mondal, S., & Bours, P. (2014) · International Conference on Security of Information and Networks (SIN) · doi:10.1145/2659651.2659720 · Cited by 8
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Tainted Love: a Systematic Literature Review of Online Romance Scam Research
Bilz, A., Shepherd, L. A., & Johnson, G. I. (2023) · Interacting with Computers · doi:10.1093/iwc/iwad048 · Cited by 65
Metadata
- Authors
- Mondal, S., Bours, P., Johansen, L., Stenvi, R., & Øverbø, M.
- Affiliations
- Gjøvik University College (NO)
- Norwegian University of Science and Technology (NO)
- Venue
- Advances in Information Security, Privacy, and Ethics
- Publisher
- IGI Global
- Published
- 2017
- Pages
- 282-305
- ISSN
- 1948-9730 (ISSN-L)
- 1948-9749
- OpenAlex
- W2510768727
- Cited by
- 5
- References
- 16
- Citations by year
- 2023: 1 · 2020: 1 · 2019: 2 · 2018: 1
- FWCI
- 3.37
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Advances in information security, privacy, and ethics book series (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
- Physical Sciences › Computer Science › Signal Processing › Biometric Identification and Security
- Physical Sciences › Computer Science › Hardware and Architecture › Security and Verification in Computing
- Keywords
- behavioral biometrics, continuous authentication, keystroke logging, user privacy, data confidentiality, intrusion detection
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
