碩士 / 國立高雄應用科技大學 / 資訊管理系碩士在職專班 / 104 / In this study, we are using Latent Semantic Analysis (LSA) to analyze Phishing email title formulaand apply the results to prevent the Phishing event occurrence. As previous studies have noted, the Phishing email is an information security issue that cannot be ignored. To guard against related attacks, email user’s psychological and educational level must be studied. These users need to be trained and their awareness of possible security risks must be strengthened in order to ensure that organizations or individuals will not be victimized by social engineering. Therefore, this study employs LSA to classify phishing emails, providing email users with information about Phishing attack idiomatic patterns. Email users in the defense forces must be aware of the cyberwarfare battle front and take the appropriate preventive measures.
The study found that, using manual classification and LSA results alignment, five of seven categories of Phishing emails shared 60％ the same semantic meaning and similar language. Once an individual receives an email, via intuitive judgment of the gist of the message category and this analysis, an email can be identified as a Phishing email instantaneously.
| Identifer | oai:union.ndltd.org:TW/104KUAS1396019 |
| Date | January 2016 |
| Creators | Tu,Ching-Ming, 涂慶銘 |
| Contributors | Chien,Shih-Wen, 簡世文 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 79 |
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