Poster Abstract: Context-Free Wearable Side-Channel Leaks Your Typing Privacy

Yang Liu; Zhenjiang Li

doi:10.1109/INFCOMW.2018.8406992

Poster Abstract: Context-Free Wearable Side-Channel Leaks Your Typing Privacy

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

In this poster, we present out recent work, aLeak, which revisits a crucial privacy problem that can the sensitive information, e.g., passwords, frequently typed by user on mobile devices be inferred through the motion sensors of wearable device on user’s wrist? Prior works have achieved initial success under certain context-constrained conditions: 1) the horizontal keypad plane, 2) the known keyboard size, 3) and/or the last keystroke on a fixed “enter” button. In this work, we take one step further to fully demonstrate and more importantly alarm people the further risks of typing privacy leakage in much more generalized context-free scenarios through addressing a series of unsolved challenges.

Original language	English
Title of host publication	IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Publisher	IEEE
Number of pages	2
ISBN (Print)	9781538659793
DOIs	https://doi.org/10.1109/INFCOMW.2018.8406992
Publication status	Published - Apr 2018
Event	37th IEEE International Conference on Computer Communications (IEEE INFOCOM 2018) - Honolulu, United States Duration: 15 Apr 2018 → 19 Apr 2018 http://infocom2018.ieee-infocom.org/ http://infocom2018.ieee-infocom.org/program/main-technical-program

Conference

Conference	37th IEEE International Conference on Computer Communications (IEEE INFOCOM 2018)
Place	United States
City	Honolulu
Period	15/04/18 → 19/04/18
Internet address	http://infocom2018.ieee-infocom.org/ http://infocom2018.ieee-infocom.org/program/main-technical-program

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@inproceedings{31caa986047b444d8e80de825d1d59f1,

title = "Poster Abstract: Context-Free Wearable Side-Channel Leaks Your Typing Privacy",

abstract = "In this poster, we present out recent work, aLeak, which revisits a crucial privacy problem that can the sensitive information, e.g., passwords, frequently typed by user on mobile devices be inferred through the motion sensors of wearable device on user{\textquoteright}s wrist? Prior works have achieved initial success under certain context-constrained conditions: 1) the horizontal keypad plane, 2) the known keyboard size, 3) and/or the last keystroke on a fixed “enter” button. In this work, we take one step further to fully demonstrate and more importantly alarm people the further risks of typing privacy leakage in much more generalized context-free scenarios through addressing a series of unsolved challenges.",

author = "Yang Liu and Zhenjiang Li",

year = "2018",

month = apr,

doi = "10.1109/INFCOMW.2018.8406992",

language = "English",

isbn = "9781538659793",

booktitle = "IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)",

publisher = "IEEE",

address = "United States",

note = "37th IEEE International Conference on Computer Communications (IEEE INFOCOM 2018) ; Conference date: 15-04-2018 Through 19-04-2018",

url = "http://infocom2018.ieee-infocom.org/, http://infocom2018.ieee-infocom.org/program/main-technical-program",

}

Liu, Y & Li, Z 2018, Poster Abstract: Context-Free Wearable Side-Channel Leaks Your Typing Privacy. in IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 37th IEEE International Conference on Computer Communications (IEEE INFOCOM 2018), Honolulu, Hawaii, United States, 15/04/18. https://doi.org/10.1109/INFCOMW.2018.8406992

TY - GEN

T1 - Poster Abstract

T2 - 37th IEEE International Conference on Computer Communications (IEEE INFOCOM 2018)

AU - Liu, Yang

AU - Li, Zhenjiang

PY - 2018/4

Y1 - 2018/4

N2 - In this poster, we present out recent work, aLeak, which revisits a crucial privacy problem that can the sensitive information, e.g., passwords, frequently typed by user on mobile devices be inferred through the motion sensors of wearable device on user’s wrist? Prior works have achieved initial success under certain context-constrained conditions: 1) the horizontal keypad plane, 2) the known keyboard size, 3) and/or the last keystroke on a fixed “enter” button. In this work, we take one step further to fully demonstrate and more importantly alarm people the further risks of typing privacy leakage in much more generalized context-free scenarios through addressing a series of unsolved challenges.

AB - In this poster, we present out recent work, aLeak, which revisits a crucial privacy problem that can the sensitive information, e.g., passwords, frequently typed by user on mobile devices be inferred through the motion sensors of wearable device on user’s wrist? Prior works have achieved initial success under certain context-constrained conditions: 1) the horizontal keypad plane, 2) the known keyboard size, 3) and/or the last keystroke on a fixed “enter” button. In this work, we take one step further to fully demonstrate and more importantly alarm people the further risks of typing privacy leakage in much more generalized context-free scenarios through addressing a series of unsolved challenges.

UR - https://www.scopus.com/pages/publications/85050692814

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85050692814&origin=recordpage

U2 - 10.1109/INFCOMW.2018.8406992

DO - 10.1109/INFCOMW.2018.8406992

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781538659793

BT - IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

PB - IEEE

Y2 - 15 April 2018 through 19 April 2018

ER -

Poster Abstract: Context-Free Wearable Side-Channel Leaks Your Typing Privacy

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