AUTOMATED DETECTION OF DECEPTION IN SHORT AND MULTILINGUAL ELECTRONIC MESSAGES

摘要

A method and apparatus for automatically identifying harmful electronic messages, such as those presented in emails, on Craigslist or on Twitter, Facebook and other social media websites, features methodology for discriminating unwanted garbage communications (spam) and unwanted deceptive messages (scam) from wanted, truthful communications based upon patterns discernable from samples of each type of electronic communication. Methods are proposed that enable discrimination of wanted from unwanted communications in short electronic messages, such as on Twitter and for multilingual application.

主权项

1. A method of detecting deception in electronic messages, comprising:
(a) obtaining a first set of electronic messages; (b) subjecting the first set to model-based clustering analysis to identify training data; (c) building a first suffix tree using the training data for deceptive messages; (d) building a second suffix tree using the training data for non-deceptive messages; (e) assessing an electronic message to be evaluated via comparison of the message to the first and second suffix trees and scoring the degree of matching to both to classify the message as deceptive or non-deceptive based upon the respective scores.