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  2. Enron Corpus - Wikipedia

    en.wikipedia.org/wiki/Enron_Corpus

    A visualization of the email network in the Enron Corpus, with coloring representing eight communities. The corpus is valued as one of the few publicly available mass collections of real emails easily available for study; such collections are typically bound by numerous privacy and legal restrictions which render them prohibitively difficult to access, such as non-disclosure agreements and ...

  3. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    The datasets are classified, based on the licenses, as Open data and Non-Open data. The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are ...

  4. Protect yourself from internet scams - AOL Help

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

    Phishing scams happen when you receive an email that looks like it came from a company you trust (like AOL), but is ultimately from a hacker trying to get your information. All legitimate AOL Mail will be marked as either Certified Mail, if its an official marketing email, or Official Mail, if it's an important account email. If you get an ...

  5. 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.

  6. Email spoofing - Wikipedia

    en.wikipedia.org/wiki/Email_spoofing

    It is designed to give email domain owners the ability to protect their domain from unauthorized use, commonly known as email spoofing. The purpose and primary outcome of implementing DMARC is to protect a domain from being used in business email compromise attacks, phishing emails, email scams and other cyber threat activities.

  7. Naive Bayes spam filtering - Wikipedia

    en.wikipedia.org/wiki/Naive_Bayes_spam_filtering

    Then, the email's spam probability is computed over all words in the email, and if the total exceeds a certain threshold (say 95%), the filter will mark the email as a spam. As in any other spam filtering technique, email marked as spam can then be automatically moved to a "Junk" email folder, or even deleted outright.

  8. Phishing - Wikipedia

    en.wikipedia.org/wiki/Phishing

    Unlike traditional phishing, which relies on deceptive emails or websites, quishing uses QR codes to bypass email filters [34] [35] and increase the likelihood that victims will fall for the scam, as people tend to trust QR codes and may not scrutinize them as carefully as a URL or email link. The bogus codes may be sent by email, social media ...

  9. The Spamhaus Project - Wikipedia

    en.wikipedia.org/wiki/The_Spamhaus_Project

    It later added a zone of "abused URL shorteners", a common way spammers insert links into spam emails. The Combined Spam Sources (CSS) [12] is an automatically produced dataset of IP addresses that are involved in sending low-reputation email. Listings can be based on HELO greetings without an A record, generic looking rDNS or use of fake ...