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A method of extracting malicious expressions in bulletin board systems by using context analysis

A method of extracting malicious expressions in bulletin board systems by using context analysis. Presenter: Jun-Yi Wu Authors: Hiroshi Hanafusa , Kazuhiro Morita, Masao Fuketa , Jun- ichi Aoe. 國立雲林科技大學 National Yunlin University of Science and Technology. 2011 IPM. Outline. Motivation

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A method of extracting malicious expressions in bulletin board systems by using context analysis

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  1. A method of extracting malicious expressions in bulletin board systems by using context analysis Presenter: Jun-Yi Wu Authors: Hiroshi Hanafusa, Kazuhiro Morita, Masao Fuketa, Jun-ichiAoe 國立雲林科技大學 National Yunlin University of Science and Technology 2011 IPM

  2. Outline • Motivation • Objective • Methodology • Experiments • Conclusion • Comments

  3. Motivation • The extracting scheme of the traditional method depends on words or a sequence of words without considering contexts of articles. • To takes a lot of human efforts to alert malicious articles. Non-malicious expression text Malicious expression text

  4. Objective • To presents a new context filtering algorithm to reduce the effort of human and to improve the rate of false positive without degrading the rate of false negative.

  5. Methodology • The presented system • Rule-based extracting knowledge • Multi-attribute matching

  6. Methodology • The presented system

  7. Methodology Non-malicious expression text Malicious expression text • The presented system • The outline of context analysis

  8. Methodology • The presented system • Inadequate and crime expressions

  9. Methodology • Rule-based extracting knowledge • Definition of multi-attribute rules • For example: “He kills someone”

  10. Methodology • Multi-attribute matching • Construction of machines(MAPM) • Goto and out function

  11. Methodology • Multi-attribute matching • Procedure • For example : “I get a strong sward”

  12. Experiments

  13. Experiments

  14. Experiments

  15. Experiments • Time evaluation and error analysis

  16. Conclusion • The presented method MULTI is a very useful approach for filtering services for inadequate expressions. • It is difficult task to register new words and expressions into dictionaries together with their categories and semantics. • The rules bases of the presented method MULTI is building for frequent expressions step by step, but there are difficult problems as shown in the following examples: • ‘‘RQJmcf2O” kill ‘‘Aaaaqqqbbb” 16

  17. Comments • Advantage • Many examples • Drawback • Some mistakes • Application • Information retrieval • Context analysis 17

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