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Keystroke dynamics. Keystroke dynamics, keystroke biometrics, typing dynamics, or typing biometrics refer to the collection of biometric information generated by key-press-related events that occur when a user types on a keyboard. [1] Use of patterns in key operation to identify operators predates modern computing, [2] and has been proposed as ...
Keystroke logging. Keystroke logging, often referred to as keylogging or keyboard capturing, is the action of recording (logging) the keys struck on a keyboard, [ 1][ 2] typically covertly, so that a person using the keyboard is unaware that their actions are being monitored. Data can then be retrieved by the person operating the logging program.
Credit card fraud. A fake automated teller slot used for "skimming". Credit card fraud is an inclusive term for fraud committed using a payment card, such as a credit card or debit card. [ 1] The purpose may be to obtain goods or services or to make payment to another account, which is controlled by a criminal.
As usual, artificial intelligence relies on hard human work to get going. Once the pose of the hand is determined, that pose is compared to a bunch of known gestures, from sign language symbols ...
Flipper Zero. The Flipper Zero is a portable multi-functional device developed for interaction with access control systems. [ 1] The device is able to read, copy, and emulate RFID and NFC tags, radio remotes, iButton, and digital access keys, along with a GPIO interface. [ 2] It was first announced in August 2020 through the Kickstarter ...
Aka, keylogging. “TikTok iOS subscribes to every keystroke (text inputs) happening on third party websites rendered inside the TikTok app. This can include passwords, credit card information and ...
Cycle detection. In computer science, cycle detection or cycle finding is the algorithmic problem of finding a cycle in a sequence of iterated function values. For any function f that maps a finite set S to itself, and any initial value x0 in S, the sequence of iterated function values. must eventually use the same value twice: there must be ...
Such examples may arouse suspicions of being generated by a different mechanism, [2] or appear inconsistent with the remainder of that set of data. [3] Anomaly detection finds application in many domains including cybersecurity, medicine, machine vision, statistics, neuroscience, law enforcement and financial fraud to name only a few. Anomalies ...