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(sp)iPhone: Decoding Vibrations From Nearby Keyboards Using Mobile Phone Accelerometers Philip Marquardt∗ Arunabh Verma, Henry Carter and Patrick Traynor
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Document Date: 2012-11-26 22:15:06


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City

Chicago / /

Company

the New York Times / Patrick Traynor MIT Lincoln Laboratory / Cryptographic Hardware / Embedded Systems / Asonov / Mel Scale Filter Bank / Berger / MA USA Converging Infrastructure Security (CISEC) Laboratory / /

Country

United States / /

Currency

USD / /

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Event

Reorganization / /

Facility

Laboratory Georgia Tech Information Security Center / Georgia Institute of Technology / Georgia Institute / /

IndustryTerm

less precise monitoring equipment / Wireless Bluetooth keyboard / neural networks / software components / near-far neural network / energy / metal / nearfar neural network / remote server / left-right neural network / mobile phone operating systems / neural network / laser vibration systems / data processing / reality applications / written media / classification algorithms / mobile device operating systems / electrical and mechanical devices / accelerometer hardware / data mining application / /

OperatingSystem

Android / /

Organization

Illinois Supreme Court / MIT / Harvard / US National Science Foundation / V (Pi ) / Georgia Institute of Technology / US military / /

Person

Henry Carter / /

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Position

current Data-Collector / model for identifying keypress events / mayor / Data-Collector / reporter / left end / /

Product

iPhone / Apple iPhone 4 Smartphone / Apple iPhone 3GS Smartphone / RapidMiner / /

ProgrammingLanguage

MATLAB / Java / /

PublishedMedium

the New York Times / /

Technology

GPS / scoring algorithm / mobile phones / Machine learning / Android / mobile device / operating system / operating systems / CMOS chips / mobile devices / cellular telephone / laser / neural network / Java / classification algorithms / data mining / Bluetooth / in preventing mobile phones / /

URL

http /

SocialTag