Radical-attended and Pinyin-attended malicious long-tail keywords detection

Author:

Sun GuoyingORCID,Zhang Zhaoxin

Funder

Natural Science Foundation of Shandong Province

National Science Research Project of Department of Education in Guizhou Province

Key Technology Research and Development Program of Shandong Province

Publisher

Springer Science and Business Media LLC

Reference68 articles.

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2. Yang H, Ma X, Du K, Li Z, Duan H, Su X, Liu G, Geng Z, Wu J (2017) How to learn klingon without a dictionary: detection and measurement of black keywords used by the underground economy, in. IEEE symposium on security and privacy (SP) 2017:751–769

3. Du K, Yang H, Li Z, Duan H, Zhang K (2016) The $$\{$$Ever-Changing$$\}$$ labyrinth: A $$\{$$Large-Scale$$\}$$ analysis of wildcard $$\{$$DNS$$\}$$ powered blackhat $$\{$$SEO$$\}$$. In: 25th USENIX Security Symposium (USENIX Security 16), pp. 245–262

4. Yang H, Ma X, Du K, Li Z, Duan H, Su X, Liu G, Geng Z, Wu J (2017) How to learn klingon without a dictionary: Detection and measurement of black keywords used by the underground economy. In: (2017) IEEE Symposium on Security and Privacy (SP). IEEE 751–769

5. Melville P, Gryc W, Lawrence RD (2009) Sentiment analysis of blogs by combining lexical knowledge with text classification. In: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 1275–1284

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