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  2. Keystroke inference attack - Wikipedia

    en.wikipedia.org/wiki/Keystroke_Inference_Attack

    History. The origins of keystroke inference attacks can be traced back to the mid-1980s when academic interest first emerged in utilizing various emanations from devices to deduce their state. While keystroke inference attacks were not explicitly discussed during this period, the declassified introductory textbook on TEMPEST standards, NACSIM ...

  3. Keystroke logging - Wikipedia

    en.wikipedia.org/wiki/Keystroke_logging

    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.

  4. Keystroke dynamics - Wikipedia

    en.wikipedia.org/wiki/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 an authentication ...

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    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  6. Hardware keylogger - Wikipedia

    en.wikipedia.org/wiki/Hardware_keylogger

    Hardware keyloggers are used for keystroke logging, a method of capturing and recording computer users' keystrokes, including sensitive passwords. [1] They can be implemented via BIOS -level firmware, or alternatively, via a device plugged inline between a computer keyboard and a computer. They log all keyboard activity to their internal memory.

  7. Viola–Jones object detection framework - Wikipedia

    en.wikipedia.org/wiki/Viola–Jones_object...

    The Viola–Jones object detection framework is a machine learning object detection framework proposed in 2001 by Paul Viola and Michael Jones. [1] [2] It was motivated primarily by the problem of face detection, although it can be adapted to the detection of other object classes. The algorithm is efficient for its time, able to detect faces in ...

  8. Keystroke-level model - Wikipedia

    en.wikipedia.org/wiki/Keystroke-level_model

    The keystroke-level model consists of six operators: the first four are physical motor operators followed by one mental operator and one system response operator: K (keystroke or button press): it is the most frequent operator and means keys and not characters (so e.g. pressing SHIFT is a separate K operation). The time for this operator ...

  9. Cross-site leaks - Wikipedia

    en.wikipedia.org/wiki/Cross-site_leaks

    The example of a Python-based web application with a search endpoint interface implemented using the following Jinja template demonstrates a common scenario of how a cross-site leak attack could occur.