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  2. SMS spoofing - Wikipedia

    en.wikipedia.org/wiki/SMS_spoofing

    SMS spoofing. SMS spoofing is a technology which uses the short message service (SMS), available on most mobile phones and personal digital assistants, to set who the message appears to come from by replacing the originating mobile number (Sender ID) with alphanumeric text. Spoofing has both legitimate uses (setting the company name from which ...

  3. Data extraction - Wikipedia

    en.wikipedia.org/wiki/Data_extraction

    Typical unstructured data sources include web pages, emails, documents, PDFs, social media, scanned text, mainframe reports, spool files, multimedia files, etc. Extracting data from these unstructured sources has grown into a considerable technical challenge, where as historically data extraction has had to deal with changes in physical hardware formats, the majority of current data extraction ...

  4. Randomness extractor - Wikipedia

    en.wikipedia.org/wiki/Randomness_extractor

    A randomness extractor, often simply called an "extractor", is a function, which being applied to output from a weak entropy source, together with a short, uniformly random seed, generates a highly random output that appears independent from the source and uniformly distributed. [1] Examples of weakly random sources include radioactive decay or ...

  5. Email-address harvesting - Wikipedia

    en.wikipedia.org/wiki/Email-address_harvesting

    Images. Using images to display part or all of an email address is a very effective harvesting countermeasure. The processing required to automatically extract text from images is not economically viable for spammers. It is very inconvenient for users, who type the address in manually. Contact forms.

  6. Information extraction - Wikipedia

    en.wikipedia.org/wiki/Information_extraction

    Information extraction. Information extraction (IE) is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents and other electronically represented sources. Typically, this involves processing human language texts by means of natural language processing (NLP). [1]

  7. Knowledge extraction - Wikipedia

    en.wikipedia.org/wiki/Knowledge_extraction

    Knowledge extraction. Knowledge extraction is the creation of knowledge from structured (relational databases, XML) and unstructured (text, documents, images) sources. The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates inferencing.

  8. Text mining - Wikipedia

    en.wikipedia.org/wiki/Text_mining

    Text mining. Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." [1] Written resources may include websites, books, emails ...

  9. Cellebrite UFED - Wikipedia

    en.wikipedia.org/wiki/Cellebrite_UFED

    In 2019, Cellebrite announced a new version of the UFED, called the UFED Premium. The company claimed that it can unlock iOS devices including those running iOS 12.3 and Android phones such as the Galaxy S9. [2] Cellebrite does not allow the resale of their products. The original list price of the product is around US$6000, but they have been ...