• Journal of Internet of Things and Convergence
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• v.4 no.1
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• pp.31-36
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• 2018

In this paper, we developed a chatbot system using the Django framework using the KakaoTalk API so that college students can easily search for important information in their university. Unlike existing chatbot systems that provide only specific information, the chatbot developed in this research automatically provides search results for various types of user queries such as weather, YouTube, Naver real-time ranking search and language translation as well as important information within their own university. We developed a module using Apache, Python and Django in AWS Ubuntu server and developed a chatbot system that automatically responds to user queries by communicating with KakaoTalk server using KakaoTalk API and BeautifulSoup. The system developed in this study is expected to be applicable to the future university entrance information promotion and election promotion system.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.474-477
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• 2017

최근 모바일 메신저 챗봇 API를 이용한 서비스 시장이 활성화되고 있다. 챗봇은 대화형 인터페이스 상에서 규칙 또는 AI로 유저와의 인터랙션을 하는 서비스로 지도, 쇼핑, 금융 등의 앱들이 챗봇 안으로 흡수되어 앱이나 웹에 별도로 접속하지 않아도 된다는 이점이 있다. 챗봇에 필요한 자동응답 API는 대표적으로 텔레그램, 페이스북 메신저, 네이버 톡톡, 카카오톡과 같은 메신저 앱에서 구현 가능하다. 아직까지 카카오톡 메신저는 챗봇 구현 환경이 제한적이라는 단점이 있지만, 국내 메신저 사용시간 점유율 94%를 차지하여 유저 접근성이 뛰어나다. 따라서 이 서비스의 타겟층이 주부 및 1인 가구이므로 서비스 범위보다는 접근성을 기준으로 두고 메신저 앱을 카카오톡으로 선택했다. 본 논문은 카카오톡 자동응답 API를 이용한 대화형 서비스를 연구 및 개발하는데 중점을 두고 있다. 이 대화형 서비스는 요리에 관한 전반적인 정보를 제공하며, 서비스 이용자에게 간편한 요리환경을 제공할 수 있도록 한다. 다양한 세부 기능을 확장한다면 효율적인 대화형 서비스가 될 것으로 사료된다.

• Journal of Information Technology Services
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• v.17 no.3
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• pp.17-36
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• 2018

In this study, we developed a chatbot (Dialogue agent) using small Q & A data and evaluated its performance. The chatbot developed in this study was developed in the form of an FAQ chatbot that responds promptly to customer inquiries. The development of chatbot was conducted in three stages : 1. Analysis and planning, 2. Content creation, 3. API and messenger interworking. During the analysis and planning phase, we gathered and analyzed the question data of the customers and extracted the topics and details of the customers' questions. In the content creation stage, we created scenarios for each topic and sub-items, and then filled out specific answers in consultation with business owners. API and messenger interworking is KakaoTalk. The performance of the chatbot was measured by the quantitative indicators such as the accuracy that the chatbot grasped the inquiry of the customer and correctly answered, and then the questionnaire survey was conducted on the chatbot users. As a result of the survey, it was found that the chatbot not only provided useful information to the users but positively influenced the image of the pension. This study shows that it is possible to develop chatbots by using easily obtainable data and commercial API regardless of the size of business. It also implies that we have verified the validity of the development process by verifying the performance of developed chatbots as well as an explicit process of developing FAQ chatbots.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.4
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• pp.117-125
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• 2018

Recently, VoIP technology is widely used in our daily life. Even VoIP has become a technology that can be easily accessed from services such as home phone as well as KakaoTalk.[1] Most of these Internet telephones use the RTP protocol. However, there is a vulnerability that the audio data of users can be intercepted through packet sniffing in the RTP protocol. So we want to create a tool to check the security level of a VoIP network using the RTP protocol. To do so, we capture data packet from and to these VoIP networks. For this purpose, we first configure a virtual VoIP network using Raspberry Pi and show the security vulnerability by applying our developed sniffing tool to the VoIP network. We will then analyze the captured packets and extract meaningful information from the analyzed data using the Google Speech API. Finally, we will address the causes of these vulnerabilities and possible solutions to address them.