Stock Spam Analysis

نویسندگان

  • Christoph Krammer
  • Felix C. Freiling
  • Christian Koziol
  • Thorsten Holz
چکیده

Stock spam is a part of unsolicited electronic mail which wants its receiver to buy a certain share at the stock markets. As there is no direct profit for the sender of this message, impacts on the share prices seem to be the only way to generate earnings by the spam sender. To hide the information within stock spam messages from automatic processing, textual and image-based distortions are used. This thesis will to show that the automatic processing of stock spam messages is possible and the available tools from the domains of Optical Character Recognition and Information Retrieval are sufficient. In-depth analyses on different tools and methods are performed to find the best suitable ones. Thereafter the model will be implemented and a large number of messages is processed to identify stock spam messages. Finally, a descriptive analysis on the characteristics of stock spam messages and their impact to financial markets is conducted. Stock Spam ist ein Teil der unerwünschten eMail Nachrichten, der ihren Empfänger dazu bringen möchte, bestimmte Aktien über den Aktienmarkt zu kaufen. Nachdem dies keinen direkten Vorteil für den Sender bringt, scheinen Auswirkungen auf die Aktienkurse der einzige Weg zu sein, mit dem der Sender Gewinn erzielen kann. Um die Informationen in Stock Spam Nachrichten vor automatischen Auswertungen zu schützen, werden textund bildbasierte Störungen verwendet. Diese Arbeit wird zeigen, dass die automatische Verarbeitung von Stock Spam Nachrichten möglich ist und die vorhandenen Werkzeuge aus den Bereichen Optische Zeichenerkennung und Information Retrieval ausreichend sind. Es werden detaillierte Analysen über die verschiedenen Werkzeuge und Methoden durchgeführt, um diejenigen zu finden, die das beschriebene Problem am besten lösen. Danach wird das Ergebnis implementiert und eine große Zahl an Nachrichten verarbeitet um Stock Spam Nachrichten zu finden. Abschließend wird eine deskriptive Analyse der Eigenschaften von Stock Spam und dessen Auswirkung auf die Finanzmärkte durchgeführt.

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تاریخ انتشار 2007