Passive OS Fingerprinting Methods in the Jungle of Wireless Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F18%3A00106883" target="_blank" >RIV/00216224:14610/18:00106883 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8406262" target="_blank" >https://ieeexplore.ieee.org/document/8406262</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/NOMS.2018.8406262" target="_blank" >10.1109/NOMS.2018.8406262</a>
Alternative languages
Result language
angličtina
Original language name
Passive OS Fingerprinting Methods in the Jungle of Wireless Networks
Original language description
Operating system fingerprinting methods are well-known in the domain of static networks and managed environments. Yet few studies tackled this challenge in real networks, where users can bring and connect any device. We evaluate the performance of three OS fingerprinting methods on a large dataset collected from university wireless network. Our results show that method based on HTTP User-agents is the most accurate but can identify only low portion of the traffic. TCP/IP parameters method proved to be the opposite with high identification rate but low accuracy. We also implemented a new method based on detection of communication to OS-specific domains and its performance is comparable to the two established ones. After that, we discuss the impacts of traffic encryption and embracing new protocols such as IPv6 or HTTP/2.0 on OS fingerprinting. Our findings suggest that OS identification based on specific domain detection is viable and corresponds to the current directions of network traffic evolution, while methods based on TCP/IP parameters and User-agents will become ineffective in the future.
Czech name
—
Czech description
—
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
<a href="/en/project/VI20172020070" target="_blank" >VI20172020070: Research of Tools for Cyber Situational Awareness and Decision Support of CSIRT Teams in Protection of Critical Infrastructure</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium
ISBN
9781538634165
ISSN
—
e-ISSN
—
Number of pages
9
Pages from-to
—
Publisher name
IEEE Xplore Digital Library
Place of publication
Taipei, Taiwan
Event location
Taipei, Taiwan
Event date
Jan 1, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000541820800150