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  2. Data analysis for fraud detection - Wikipedia

    en.wikipedia.org/wiki/Data_analysis_for_fraud...

    Fraud detection is a knowledge-intensive activity. The main AI techniques used for fraud detection include: Data mining to classify, cluster, and segment the data and automatically find associations and rules in the data that may signify interesting patterns, including those related to fraud.

  3. Artificial intelligence in fraud detection - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    It is widely used in the financial sector, especially by accounting firms, to help detect fraud. In 2022, PricewaterhouseCoopers reported that fraud has impacted 46% of all businesses in the world. [1] The shift from working in person to working from home has brought increased access to data.

  4. Fraud deterrence - Wikipedia

    en.wikipedia.org/wiki/Fraud_deterrence

    Fraud deterrence is based on the premise that fraud is not a random occurrence; fraud occurs where the conditions are right for it to occur. Fraud deterrence attacks the root causes and enablers of fraud; this analysis could reveal potential fraud opportunities in the process, but is performed on the premise that improving organizational procedures to reduce or eliminate the causal factors of ...

  5. GitHub - Wikipedia

    en.wikipedia.org/wiki/Github

    GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a proprietary developer platform that allows developers to create, store, manage, and share their code. It uses Git to provide distributed version control and GitHub itself provides access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project. [8]

  6. Cross-site request forgery - Wikipedia

    en.wikipedia.org/wiki/Cross-site_request_forgery

    When accessing the attack link to the local uTorrent application at localhost:8080, the browser would also always automatically send any existing cookies for that domain. . This general property of web browsers enables CSRF attacks to exploit their targeted vulnerabilities and execute hostile actions as long as the user is logged into the target website (in this example, the local uTorrent web ...

  7. Scammer Payback - Wikipedia

    en.wikipedia.org/wiki/Scammer_Payback

    Pierogi was born on July 16th, 1986, [3] he previously worked as a cybersecurity professional. [4] He launched his YouTube channel "Scammer Payback" on May 15, 2019, focusing on high-production scam-baiting content in which he pretends to be a scam victim by portraying a variety of characters with the use of a voice changer to waste the scammers' time and distract them.

  8. Invidious - Wikipedia

    en.wikipedia.org/wiki/Invidious

    Invidious is a free and open-source alternative frontend to YouTube. [2] [3] It is available as a Docker container, [4] or from the GitHub master branch. [5]It is intended to be used as a lightweight and "privacy-respecting" alternative to the official YouTube website. [2]

  9. Long short-term memory - Wikipedia

    en.wikipedia.org/wiki/Long_short-term_memory

    In theory, classic RNNs can keep track of arbitrary long-term dependencies in the input sequences. The problem with classic RNNs is computational (or practical) in nature: when training a classic RNN using back-propagation, the long-term gradients which are back-propagated can "vanish", meaning they can tend to zero due to very small numbers creeping into the computations, causing the model to ...