{"id":15679,"date":"2016-08-26T13:56:24","date_gmt":"2016-08-26T17:56:24","guid":{"rendered":"http:\/\/mjtsai.com\/blog\/?p=15679"},"modified":"2016-08-30T15:15:22","modified_gmt":"2016-08-30T19:15:22","slug":"keystroke-recognition-using-wi-fi-signals","status":"publish","type":"post","link":"https:\/\/mjtsai.com\/blog\/2016\/08\/26\/keystroke-recognition-using-wi-fi-signals\/","title":{"rendered":"Keystroke Recognition Using Wi-Fi Signals"},"content":{"rendered":"<p><a href=\"https:\/\/www.sigmobile.org\/mobicom\/2015\/papers\/p90-aliA.pdf\">Kamran Ali et al.<\/a> (PDF, via <a href=\"https:\/\/twitter.com\/pjf\/status\/768672642589089796\">Paul Fenwick<\/a>, <a href=\"https:\/\/news.ycombinator.com\/item?id=12357447\">Hacker News<\/a>):<\/p>\n<blockquote cite=\"https:\/\/www.sigmobile.org\/mobicom\/2015\/papers\/p90-aliA.pdf\"><p>In this paper, we show for the first time that WiFi signals can also be exploited to recognize keystrokes. The intuition is that while typing a certain key, the hands and fingers of a user move in a unique formation and direction and thus generate a unique pattern in the time-series of Channel State Information (CSI) values, which we call CSI-waveform for that key. In this paper, we propose a WiFi signal based keystroke recognition system called WiKey. WiKey consists of two Commercial Off-The-Shelf (COTS) WiFi devices, a sender (such as a router) and a receiver (such as a laptop). The sender continuously emits signals and the receiver continuously receives signals. When a human subject types on a keyboard, WiKey recognizes the typed keys based on how the CSI values at the WiFi signal receiver end. We implemented the WiKey system using a TP-Link TL-WR1043ND WiFi router and a Lenovo X200 laptop. WiKey achieves more than 97.5% detection rate for detecting the keystroke and 96.4% recognition accuracy for classifying single keys. In real-world experiments, WiKey can recognize keystrokes in a continuously typed sentence with an accuracy of 93.5%.<\/p><\/blockquote>\n<p>Update (2016-08-30): See also: <a href=\"https:\/\/www.schneier.com\/blog\/archives\/2016\/08\/keystroke_recog.html\">Bruce Schneier<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"<p>Kamran Ali et al. (PDF, via Paul Fenwick, Hacker News): In this paper, we show for the first time that WiFi signals can also be exploited to recognize keystrokes. The intuition is that while typing a certain key, the hands and fingers of a user move in a unique formation and direction and thus generate [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"apple_news_api_created_at":"","apple_news_api_id":"","apple_news_api_modified_at":"","apple_news_api_revision":"","apple_news_api_share_url":"","apple_news_coverimage":0,"apple_news_coverimage_caption":"","apple_news_is_hidden":false,"apple_news_is_paid":false,"apple_news_is_preview":false,"apple_news_is_sponsored":false,"apple_news_maturity_rating":"","apple_news_metadata":"\"\"","apple_news_pullquote":"","apple_news_pullquote_position":"","apple_news_slug":"","apple_news_sections":"\"\"","apple_news_suppress_video_url":false,"apple_news_use_image_component":false,"footnotes":""},"categories":[2],"tags":[423,355,48,187],"class_list":["post-15679","post","type-post","status-publish","format-standard","hentry","category-technology","tag-keyboard","tag-privacy","tag-security","tag-wifi"],"apple_news_notices":[],"_links":{"self":[{"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/posts\/15679","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/comments?post=15679"}],"version-history":[{"count":3,"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/posts\/15679\/revisions"}],"predecessor-version":[{"id":15696,"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/posts\/15679\/revisions\/15696"}],"wp:attachment":[{"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/media?parent=15679"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/categories?post=15679"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/tags?post=15679"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}