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Illegal and Harmful Information Detection Technique Using Combination of Search Words
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 Title & Authors
Illegal and Harmful Information Detection Technique Using Combination of Search Words
Han, Byeong Woo; Yoon, Ji Won;
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 Abstract
Illegal and harmful contents on the Internet has been an issue and been increased in Korea. They are often posted on the billboard and website of small enterprise and government office. Those illegal and harmful contents can relate to crime and suspicious activity, so, we need a detection system. However, to date the detection itself has been conducted manually by a person. In this paper, we develop an automated URL detection scheme for detecting a drug trafficking by using Google. This system works by analyzing the frequently used keywords in a drug trafficking and generate a keyword dictionary to store words for future search. The suspected drug trafficking URL are automatically collected based on the keyword dictionary by using Google search engine. The suspicious URL can be detected by classifying and numbering each domain from the collection of the suspected URL. This proposed automated URL detection can be an effective solution for detecting a drug trafficking, also reducing time and effort consumed by human-based URL detection.
 Keywords
OSINT;Inteligence;illegal drug;Google;Security;Criminal detection;Automatic detection;
 Language
Korean
 Cited by
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