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

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

    Ling-Spam Dataset Corpus containing both legitimate and spam emails. Four version of the corpus involving whether or not a lemmatiser or stop-list was enabled. 2,412 Ham 481 Spam Text Classification 2000 [38] [39] Androutsopoulos, J. et al. SMS Spam Collection Dataset Collected SMS spam messages. None. 5,574 Text Classification 2011 [40] [41]

  3. Naive Bayes spam filtering - Wikipedia

    en.wikipedia.org/wiki/Naive_Bayes_spam_filtering

    A Bayesian spam filter will eventually assign a higher probability based on the user's specific patterns. The legitimate e-mails a user receives will tend to be different. For example, in a corporate environment, the company name and the names of clients or customers will be mentioned often.

  4. Webhook - Wikipedia

    en.wikipedia.org/wiki/Webhook

    Webhooks are "user-defined HTTP callbacks". [2] They are usually triggered by some event, such as pushing code to a repository, [3] a new comment or a purchase, [4] a comment being posted to a blog [5] and many more use cases. [6] When that event occurs, the source site makes an HTTP request to the URL configured for the webhook.

  5. Spam in blogs - Wikipedia

    en.wikipedia.org/wiki/Spam_in_blogs

    Spam in blogs (also known as blog spam, comment spam, or social spam) is a form of spamdexing which utilizes internet sites that allow content to be publicly posted, in order to artificially inflate their website ranking by linking back (also referred to as backlinking) to their web pages.

  6. List of phishing incidents - Wikipedia

    en.wikipedia.org/wiki/List_of_phishing_incidents

    The term "phishing" is said to have been coined by the well known spammer and hacker in the mid-90s, Khan C. Smith. [3] The first recorded mention of the term is found in the hacking tool AOHell (according to its creator), which included a function for attempting to steal the passwords or financial details of America Online users.

  7. Hashcash - Wikipedia

    en.wikipedia.org/wiki/Hashcash

    Hashcash is a cryptographic hash-based proof-of-work algorithm that requires a selectable amount of work to compute, but the proof can be verified efficiently. For email uses, a textual encoding of a hashcash stamp is added to the header of an email to prove the sender has expended a modest amount of CPU time calculating the stamp prior to ...

  8. Spamdexing - Wikipedia

    en.wikipedia.org/wiki/Spamdexing

    Link spam is defined as links between pages that are present for reasons other than merit. [16] Link spam takes advantage of link-based ranking algorithms, which gives websites higher rankings the more other highly ranked websites link to it. These techniques also aim at influencing other link-based ranking techniques such as the HITS algorithm.

  9. Social spam - Wikipedia

    en.wikipedia.org/wiki/Social_spam

    Social spam is unwanted spam content appearing on social networking services, social bookmarking sites, [1] and any website with user-generated content (comments, chat, etc.). .). It can be manifested in many ways, including bulk messages, [2] profanity, insults, hate speech, malicious links, fraudulent reviews, fake friends, and personally identifiable informa