Abstract
We assess the severity of phishing attacks in terms of their risk levels and the potential loss in market value to the firms. We analyze 1,030 phishing alerts released on a public database as well as financial data related to the targeted firms using a hybrid text and data mining method that predicts the severity of the attack with high accuracy. Our research identifies the important textual and financial variables that impact the severity of the attacks and determine that different antecedents influence risk level and potential financial loss associated with phishing attacks.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 119-126 |
| Number of pages | 8 |
| Journal | Proceedings of the International Conference on Electronic Business (ICEB) |
| State | Published - 2009 |
| Event | 9th International Conference on Electronic Business, ICEB 2009 - Macau, China Duration: Nov 30 2009 → Dec 4 2009 |
All Science Journal Classification (ASJC) codes
- General Business, Management and Accounting
- General Computer Science
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