Detecting Masquerading Traitors from Process Visualization of Computer
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F24%3A00136252" target="_blank" >RIV/00216224:14330/24:00136252 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10538928" target="_blank" >https://ieeexplore.ieee.org/document/10538928</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TrustCom60117.2023.00263" target="_blank" >10.1109/TrustCom60117.2023.00263</a>
Alternative languages
Result language
angličtina
Original language name
Detecting Masquerading Traitors from Process Visualization of Computer
Original language description
Insider attacks in organizations are currently one of the most crucial cybersecurity challenges. Traitors are one of the most dangerous types of insider attackers. They are difficult to detect because they know the organization, processes, defense mechanisms, and employees. Besides abusing their rights and accesses, they can use their co-workers’ rights and accesses. They can hide their activities to perform attacks inconspicuously. The current masquerader detection techniques usually rely on the fact that the masquerader is an outsider, making them unable to detect attacks from the traitor. To detect these insider attackers, which we call masquerading traitors, we propose the human-as-solution approach and engage the employees in deciding whether the usage of their rights and accesses is suspicious and, therefore, might be performed by a masquerading traitor.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
ISBN
9798350382006
ISSN
2324-898X
e-ISSN
2324-9013
Number of pages
6
Pages from-to
1935-1940
Publisher name
IEEE
Place of publication
Neuveden
Event location
Exeter, United Kingdom
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001239879400239