Device fingerprinting is a technique that is used to identify and authenticate a device. Different methods are used for this purpose; imperfections of built-in components of the device and radio frequency (RF) emissions of the device can be used for authentication. The device can be tested internally or externally; externally is more reliable. Transmission control protocol is a preferred method of authentication due to its reliability in precision which is intrinsic for device functionality and has unique characteristics for every device. In this paper, different techniques on device fingerprinting was analyzed, the technique based on Transmission control protocol with data transfer rates was tested and the comparison between different mobile devices was visualized.

1. 2018
ELECO
Zulfidin Khodzhaev1
, Cem Ayyıldız2
, Güneş Karabulut Kurt1
Istanbul Technical University1
, Giga OHM2
Device Fingerprinting
for Authentication

2. ➢ What is device fingerprinting ?
It is a technique that is used to identify and
authenticate a device
➢ Methods used in device fingerprinting ?
Internal - imperfections of built-in components of the
device
External - radio frequency (RF) emissions of the device
➢ Preferred method in our research ?
Transmission control protocol - reliable in precision
which is intrinsic for device functionality has unique
characteristics for every device
Introduction
1

3. Research
Question
How to identify
a device ?
2
Samsung

4. Why is it
Important ?
3
Tracking Security

5. ➢ Using internal components exploit
the Internet Control Message
➢ Protocol (ICMP) timestamp-based
fingerprinting to identify mobile
phones over a WLAN
4
❏ M. Cristea and B. Groza, “Fingerprinting
smartphones remotely via ICMP
timestamps,” IEEE Communications Letters,
vol. 17, no. 6, pp. 1081–1083, 2013.
Related
Research

6. ➢ Device manipulation to send and receive data
over TCP
➢ Identification of channel of the Wi-Fi network
and tuning the center of frequency
➢ Averaging samples and reducing peak to peak
noise
➢ Visualizing obtained data and finding relative
classification techniques
➢ Classification of signals results in
identification and authentication of a device
Methodology
Network
Device
Spectrum
Analyzer
Data
Classifier
Device2Device1
5

7. ➢ Calculation of distance between
neighboring instances
➢ The training data - to make a
prediction
➢ Testing data - to assess predictions
made
➢ Calculation of distance between
trained data and testing data
➢ Data is classified into a group in
which the distance is the shortest
Technique
6
Data
Instance1
Training
Instance2 Instance3
Other
Instances
Testing
Distance
Device1 Device2

8. 7
Formulation
iPhone 7 Xiaomi Mi A1 7

9. Test setup
Jetson TX2
iPhone 7 Xiaomi Mi A1
NI PXIe-1082
8

10. Result and
Discussion
Iphone 7 Xiaomi Mi A1 7
9
K=3 100% 56%
K=4 100% 56%
K=5 100% 64%
➢ Importance of nearest instances

11. ➢ Results for mobile devices seem to
be promising
➢ More advanced classification
techniques needed
➢ Different devices should be tested
➢ Electronic devices are part of our
society and they should be as secure
as possible
➢ DSL and ADSL modems
10
Conclusion
and future
research

12. 11
Reference
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13. Dinlediğiniz için teşekkürler.