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  2. Protect yourself from internet scams - AOL Help

    help.aol.com/articles/protect-yourself-from...

    Sometimes these emails can contain dangerous viruses or malware that can infect your computer by downloading attached software, screensavers, photos, or offers for free products. Additionally, be wary if you receive unsolicited emails indicating you've won a prize or contest, or asking you to forward a petition or email.

  3. Is that a scam? How to recognize and report fraudulent behavior

    www.aol.com/scam-recognize-report-fraudulent...

    Regardless of the format, there's likely a scam to be had. Scams and fraud can come in the forms of phone calls, online links, door-to-door sales and mail. Below are common scams the New Jersey ...

  4. Identify legitimate AOL websites, requests, and communications

    help.aol.com/articles/identify-legitimate-aol...

    Best practices • Don't enable the "use less secure apps" feature. • Don't reply to any SMS request asking for a verification code. • Don't respond to unsolicited emails or requests to send money.

  5. Brushing (e-commerce) - Wikipedia

    en.wikipedia.org/wiki/Brushing_(e-commerce)

    Unsolicited seeds analysed by APHIS Plant Protection and Quarantine (PPQ) botanists at the National Identification Services (NIS) Lab in Beltsville, Maryland. In 2015, investigators working for the travel review platform Tripadvisor identified an illegal Italian business called PromoSalento, which was offering to write fake reviews for hospitality businesses to help them improve their ...

  6. What You Need to Know About Phone Scams - AOL

    www.aol.com/know-phone-scams-180248742.html

    The most robust protection comes from T-Mobile’s Scam Shield. This app offers a front-line defense against scammers including free warnings of potential scam calls and the ability to block ...

  7. 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.