{"id":51418,"date":"2021-10-19T12:34:30","date_gmt":"2021-10-19T09:34:30","guid":{"rendered":"https:\/\/forklog.com\/en\/?p=51418"},"modified":"2025-09-02T23:36:45","modified_gmt":"2025-09-02T20:36:45","slug":"artificial-intelligence-learns-to-observe-pin-codes-entered-at-atms","status":"publish","type":"post","link":"https:\/\/u1f987.com\/en\/artificial-intelligence-learns-to-observe-pin-codes-entered-at-atms\/","title":{"rendered":"Artificial intelligence learns to observe PIN codes entered at ATMs"},"content":{"rendered":"<p>A group of European researchers<a href=\"https:\/\/arxiv.org\/abs\/2110.08113\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">developed<\/a> a machine-learning method capable of determining from video the PIN code entered at an ATM. The system can crack the PIN even when the customer covers the keypad with their hand.<\/p>\n<p>The method is based on a convolutional neural network and a long short-term memory (LSTM) module that processed video recordings of PIN-code entry on a test ATM. As a result, the system was able to guess a four-digit PIN with 41% accuracy and a five-digit one with three attempts at 30%. In testing, 58 volunteers participated.<\/p>\n<p>During PIN-entry, the ATM display will not be hidden. Therefore they synchronised the appearance of asterisks on the screen with the movement of the hand for more accurate prediction of the digits.<\/p>\n<p>During data collection to train the algorithm, the researchers asked right-handed volunteers to enter 100 randomly generated five-digit passwords covering all ten digits of the keypad. They ultimately collected 5800 video recordings of individual PIN-code entries.<\/p>\n<p>There is currently no protection against this type of attack, according to the researchers. They argue that increasing the number of digits in a PIN makes it harder to remember the numbers, and a random arrangement of digits on the keypad would confuse ATM users. They add that their method works even when 75% of the PIN-entry panel is obscured.<\/p>\n<p>In October<a href=\"https:\/\/u1f987.com\/en\/news\/in-the-uae-scammers-use-a-voice-deepfake-to-steal-35m-from-a-bank\"> criminals using a voice deepfake stole $35 million<\/a>.<\/p>\n<p>In September<a href=\"https:\/\/u1f987.com\/en\/news\/scientists-fool-a-facial-recognition-system-with-natural-makeup\"> scientists managed to fool facial-recognition systems<\/a> using natural makeup.<\/p>\n<p>In August<a href=\"https:\/\/u1f987.com\/en\/news\/study-finds-artificial-intelligence-crafts-phishing-emails-more-effectively-than-humans\"> researchers found that AI is capable of composing phishing emails<\/a> more effectively than humans.<\/p>\n<p>Subscribe to ForkLog AI news on Telegram: <a href=\"https:\/\/t.me\/forklogAI\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"> ForkLog AI<\/a> \u2014 all the news from the world of AI!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Researchers have developed a machine-learning method capable of determining from video the PIN code entered at an ATM. The system can crack the PIN even when the customer covers the keypad with their hand.<\/p>\n","protected":false},"author":1,"featured_media":26216,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"select":"1","news_style_id":"1","cryptorium_level":"","_short_excerpt_text":"","creation_source":"","_metatest_mainpost_news_update":false,"footnotes":""},"categories":[3],"tags":[438,167],"class_list":["post-51418","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-analysis","tag-artificial-intelligence","tag-research"],"aioseo_notices":[],"amp_enabled":true,"views":"48","promo_type":"1","layout_type":"1","short_excerpt":"","is_update":"","_links":{"self":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/posts\/51418","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/comments?post=51418"}],"version-history":[{"count":1,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/posts\/51418\/revisions"}],"predecessor-version":[{"id":51419,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/posts\/51418\/revisions\/51419"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/media\/26216"}],"wp:attachment":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/media?parent=51418"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/categories?post=51418"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/tags?post=51418"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}