1 / 8

Named Entity Extraction

Named Entity Extraction. Richard North, III REU-CS University of Houston. Named Entity Recognition (NER). The process of finding mentions of specified things in running text Breaking the mentions into predefined categories such name, location, organization, time, etc.

dorian-yang
Télécharger la présentation

Named Entity Extraction

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Named Entity Extraction Richard North, III REU-CS University of Houston

  2. Named Entity Recognition (NER) • The process of finding mentions of specified things in running text • Breaking the mentions into predefined categories such name, location, organization, time, etc. • Using NER to detect fraudulent actions

  3. URL Phishing • Only Looking at the URL • How Spammers Fool Users • Comparing Legitimate URLs w/ Phishing URLs • I’m a Victim! • Fun Facts • In 2007, 3.6M adults lost a total of $3.2B • 50-75% of phishing URLs contain the name of the brand they are targeting

  4. Only Looking at the URL

  5. How Spammers Fool Users

  6. Comparing Legitimate URLs w/ Phishing URLs • Legitimate • https://www.paypal.com/us/cgi-bin/webscr?cmd=_login-submit • Phishing • http://www.paypal.com-webapps.limtedsesion.com/325f1428a730b5c43a868f2a1b9...

  7. I’m a Victim! • PROOF!

  8. References • https://www.usenix.org/legacy/events/leet08/tech/full_papers/mcgrath/mcgrath_html/ • http://cseweb.ucsd.edu/~savage/papers/TIST11.pdf • https://www.phishtank.com

More Related