• Journal of the Korea Society of Computer and Information
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• v.21 no.8
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• pp.29-39
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• 2016

Recently, KakaoTalk users seek secure messengers with fears of 'possible' censorship over a mobile messenger. Instead German messenger "Telegram" is gaining popularity in South Korea. Are the known as secure messengers actually secure? In this paper, we evaluate secure mobile messengers in terms of private information protection. We establish the fourteen criteria to evaluate the functionality of messenger apps including communication encryption in transit, the possibility of leakage of decrypted messages via server, an encryption algorithm, a key exchange algorithm, an ephemeral message application, etc. Line, Telegram, Snapchat, WhatsApp, Wickr, Facebook Messenger and KakaoTalk, which have many worldwide and domestic users, are to be targeted. Wickr is ranked at the top of the evaluation, followed by Telegram and Line but KakaoTalk and Snapchat are ranked at the bottom of the evaluation list.

• Convergence Security Journal
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• v.23 no.3
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• pp.13-20
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• 2023

This study conducted a digital forensic analysis of Signal and Telegram, two secure messengers widely used in the Android environment. As mobile messengers currently play an important role in daily life, data management and security within these apps have become very important issues. Signal and Telegram, among others, are secure messengers that are highly reliable among users, and they safely protect users' personal information based on encryption technology. However, much research is still needed on how to analyze these encrypted data. In order to solve these problems, in this study, an in-depth analysis was conducted on the message encryption of Signal and Telegram and the database structure and encryption method in Android devices. In the case of Signal, we were able to successfully decrypt encrypted messages that are difficult to access from the outside due to complex algorithms and confirm the contents. In addition, the database structure of the two messenger apps was analyzed in detail and the information was organized into a folder structure and file format that could be used at any time. It is expected that more accurate and detailed digital forensic analysis will be possible in the future by applying more advanced technology and methodology based on the analyzed information. It is expected that this research will help increase understanding of secure messengers such as Signal and Telegram, which will open up possibilities for use in various aspects such as personal information protection and crime prevention.

• Journal of Internet Computing and Services
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• v.23 no.5
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• pp.127-134
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• 2022

Steganography is a hidden technique in which secret messages are hidden in various multimedia files, and it is widely exploited for cyber crime and attacks because it is very difficult for third parties other than senders and receivers to identify the presence of hidden information in communication messages. Botnet typically consists of botmasters, bots, and C&C (Command & Control) servers, and is a botmasters-controlled network with various structures such as centralized, distributed (P2P), and hybrid. Recently, in order to enhance the concealment of botnets, research on Stego Botnet, which uses SNS platforms instead of C&C servers and performs C&C communication by applying steganography techniques, has been actively conducted, but image or video media-oriented stego botnet techniques have been studied. On the other hand, audio files such as various sound sources and recording files are also actively shared on SNS, so research on stego botnet based on audio steganography is needed. Therefore, in this study, we present the results of comparative analysis on hidden capacity by file type and tool through experiments, using a stego botnet that performs C&C hidden communication using audio files as a cover medium in Telegram Messenger.

• Journal of Information Processing Systems
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• v.17 no.2
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• pp.318-333
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• 2021

Smartphones are one of the most widely used mobile devices allowing users to communicate with each other. With the development of mobile apps, many companies now provide various services for their customers by studying interactive systems in the form of mobile messengers for business marketing and commercial promotion. Such interactive systems are called "chatbots." In this paper, we propose a method of avoiding the redundant responses of chatbots, according to the utterances entered by the user. In addition, the redundant patterns of chatbot responses are classified into three categories for the first time. In order to verify the proposed method, a chatbot is implemented using Telegram, an open source messenger. By comparing the proposed method with an existent method for each pattern, it is confirmed that the proposed method significantly improves the redundancy avoidance rate. Furthermore, response performance and variation analysis of the proposed method are investigated in our experiment.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.12
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• pp.2232-2239
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• 2016

IoT industry has been highlighted in the domestic and foreign country. Since most IoT systems operate separate servers in Internet to control IoT hardwares, there exists the possibility of security problems. Also, IoT systems in markets use their own hardware controllers and devices. As a result, there are many limitations in adding new sensors or devices and using applications to access hardware controllers. To solve these problems, we have developed a novel IoT hardware control system based on a mobile messenger. For the security, we have adopted a secure mobile messenger, Telegram, which has its own security protection. Also, it can improve the easy of the usage without any installation of specific applications. For the enhancement of the system accessibility, the proposed IoT system supports various network protocols. As a result, there are many possibility to include various functions in the system. Finally, our IoT system can analyze the collected information from sensors to provide useful information to the users. Through the experiment, we show that the proposed IoT system can perform well.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.402-404
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• 2021

최근 인공지능 기술이 발전하면서, 일상에서 인공지능 기반 챗봇을 어렵지 않게 접할 수 있다. 챗봇 기술이 발전하면서, 챗봇을 구현하기 위한 다양한 챗봇 프레임워크가 등장하였다. Google 의 Dialogflow 는 최소한의 코딩으로 챗봇을 설계하고, 생성하기 위한 오픈소스 챗봇 프레임워크로 Facebook Messenger, Telegram, Slack 등 여러 메신저 플랫폼과 연동이 된다. 본 논문은 Dialogflow 를 이용한 프로토타입 챗봇 구현을 통하여 Dialogflow 의 특징인 Dialog(대화)의 Flow(흐름)를 만들기만 하면 이를 통해 챗봇을 만들어 지는 용이성 검증을 시행하였다.