Abstract
Nowadays, the number of visible physical devices exposed on the Internet is dynamically increasing and they play a crucial role for bridging between the cyber space and the physical world, such as network printer, Webcam, and industrial control devices. Discovering these devices brings about the deep understanding on these devices' characteristics and help secure device security in the cyber space. A device fingerprint is a prerequisite of device discovery in the Internet. However, today's online device search depends on keywords of packet head fields and the keyword collection is done manually. This impedes an accurate and large-scale device discovery, due to high human efforts and inevitable human errors, as well as the difficulty of keeping keywords complete and updated. To address this problem, we propose GUIDE, a framework to automatically generate device fingerprints based on webpages embedded in these devices. In order to demonstrate how GUIDE works, we also develop its prototype system and provide a case study which discover surveillance devices in the cyber space.
| Original language | English (US) |
|---|---|
| Title of host publication | 2016 IEEE 24th International Conference on Network Protocols, ICNP 2016 |
| Publisher | IEEE Computer Society |
| Volume | 2016-December |
| ISBN (Electronic) | 9781509032815 |
| DOIs | |
| State | Published - Dec 14 2016 |
| Externally published | Yes |
| Event | 24th IEEE International Conference on Network Protocols, ICNP 2016 - Singapore, Singapore Duration: Nov 8 2016 → Nov 11 2016 |
Other
| Other | 24th IEEE International Conference on Network Protocols, ICNP 2016 |
|---|---|
| Country | Singapore |
| City | Singapore |
| Period | 11/8/16 → 11/11/16 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Software
Cite this
GUIDE : Graphical user interface fingerprints physical devices. / Li, Qiang; Feng, Xuan; Li, Zhi; Wang, Haining; Sun, Limin.
2016 IEEE 24th International Conference on Network Protocols, ICNP 2016. Vol. 2016-December IEEE Computer Society, 2016. 7784468.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - GUIDE
T2 - Graphical user interface fingerprints physical devices
AU - Li, Qiang
AU - Feng, Xuan
AU - Li, Zhi
AU - Wang, Haining
AU - Sun, Limin
PY - 2016/12/14
Y1 - 2016/12/14
N2 - Nowadays, the number of visible physical devices exposed on the Internet is dynamically increasing and they play a crucial role for bridging between the cyber space and the physical world, such as network printer, Webcam, and industrial control devices. Discovering these devices brings about the deep understanding on these devices' characteristics and help secure device security in the cyber space. A device fingerprint is a prerequisite of device discovery in the Internet. However, today's online device search depends on keywords of packet head fields and the keyword collection is done manually. This impedes an accurate and large-scale device discovery, due to high human efforts and inevitable human errors, as well as the difficulty of keeping keywords complete and updated. To address this problem, we propose GUIDE, a framework to automatically generate device fingerprints based on webpages embedded in these devices. In order to demonstrate how GUIDE works, we also develop its prototype system and provide a case study which discover surveillance devices in the cyber space.
AB - Nowadays, the number of visible physical devices exposed on the Internet is dynamically increasing and they play a crucial role for bridging between the cyber space and the physical world, such as network printer, Webcam, and industrial control devices. Discovering these devices brings about the deep understanding on these devices' characteristics and help secure device security in the cyber space. A device fingerprint is a prerequisite of device discovery in the Internet. However, today's online device search depends on keywords of packet head fields and the keyword collection is done manually. This impedes an accurate and large-scale device discovery, due to high human efforts and inevitable human errors, as well as the difficulty of keeping keywords complete and updated. To address this problem, we propose GUIDE, a framework to automatically generate device fingerprints based on webpages embedded in these devices. In order to demonstrate how GUIDE works, we also develop its prototype system and provide a case study which discover surveillance devices in the cyber space.
UR - http://www.scopus.com/inward/record.url?scp=85009460708&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85009460708&partnerID=8YFLogxK
U2 - 10.1109/ICNP.2016.7784468
DO - 10.1109/ICNP.2016.7784468
M3 - Conference contribution
AN - SCOPUS:85009460708
VL - 2016-December
BT - 2016 IEEE 24th International Conference on Network Protocols, ICNP 2016
PB - IEEE Computer Society
ER -