• Journal of Information Processing Systems
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• v.17 no.5
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• pp.867-878
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• 2021

In context awareness and user intention tasks, dataset construction is expensive because specific domain data are required. Although pretraining with a large corpus can effectively resolve the issue of lack of data, it ignores domain knowledge. Herein, we concentrate on data domain knowledge while addressing data scarcity and accordingly propose a multi-channel long short-term memory (LSTM). Because multi-channel LSTM integrates pretrained vectors such as task and general knowledge, it effectively prevents catastrophic forgetting between vectors of task and general knowledge to represent the context as a set of features. To evaluate the proposed model with reference to the baseline model, which is a single-channel LSTM, we performed two tasks: voice phishing with context awareness and movie review sentiment classification. The results verified that multi-channel LSTM outperforms single-channel LSTM in both tasks. We further experimented on different multi-channel LSTMs depending on the domain and data size of general knowledge in the model and confirmed that the effect of multi-channel LSTM integrating the two types of knowledge from downstream task data and raw data to overcome the lack of data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.354-356
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• 2022

Profiles are the most basic means of representing who you are, and you represent yourself. In SNS and chatting apps that use profiles the most, profiles are used to express their experiences, moods, and thoughts. However, in voice phishing, impersonation crimes, etc., they steal and impersonate a photo such as a profile, and then deceive the victim into committing a crime. In this paper, to prevent the crime of impersonation, the authenticity of the original is determined using NFT that can distinguish the original. Minting the original profile picture with NFT, registering it on the blockchain network, and storing the original file in off-chain IPFS. This is expected to be effective in preventing impersonation crimes because it is possible to easily determine the authenticity of the profile picture.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.9-17
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• 2018

Recently, much attention in electronic financial fraud has been dramatically increased. In particular, the electronic financial fraud has been transforming to social engineering. Despite the growing interest in electronic financial fraud, few guidelines exist how to effectively avoid the serious damage from electronic financial fraud. Moreover, it is rarely investigated cases of victims from financial fraud. Therefore, the purpose of this study is to investigate why financial fraud crime victims occurs. To enhance mundane realism, we conducted Focus Group Interview(FGI) with actual victims from financial fraud crime. Drawing analysis of FGI with actual victims, we found that there are certain damage patterns. Further, we found that the reason why financial fraud crime victims occurs is optimistic biases of humans rooted in behavioral economics. Therefore, this study provides the valuable guidelines and directions to prevent electronic financial fraud based on risk and crisis management perspective. Ultimately, this study is able to help the establishment and implementation of a comprehensive electronic financial fraud prevention policy.

• Journal of Industrial Convergence
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• v.16 no.1
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• pp.15-20
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• 2018

Along with the increase of internet shopping, crimes that exploited personal information on the invoice of goods are becoming more and more advanced and becoming more and more classified from the interception of goods through voice phishing attack, injury, sexual offense. Therefore, in order to guarantee the anonymity of the customer's delivery information, there is a need for a delivery tracking prevention system which keeps the route information of the product's destination secret among delivery companies. For this purpose, We suggest that delivery tracing protect model based smart contract for guaranteed anonymity to protect the anonymity by encrypting delivery information and by separation of payment and personal information using the anonymity technique of block chain-based cryptography. Our proposed model contributes to expansion of internet shopping based on block chaining by providing information about product sales to company and guaranteeing anonymity of customer's delivery information to customer.

• Convergence Security Journal
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• v.22 no.2
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• pp.43-50
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• 2022

It is no exaggeration to say that mobile devices have already become an essential tool in our daily life. Among these mobile devices, a representative smart phone is overheating the market by introducing new functions and services whenever a new product is released. However, most users do not know that there are various vulnerabilities depending on the manufacturer, service, or function, and damage is occurring due to attacks that exploit the vulnerabilities.Research on this has already been conducted, but it is very difficult to predict because there are various differences depending on new devices, operating systems, services, and functions. For this reason, it is necessary to continuously monitor and study new vulnerable factors. Therefore, through this study, research so far, vulnerabilities, attack technology, and response technology were considered. In addition, it is expected that it can be used as basic data for the development of systems and response technologies in the future by proposing countermeasures.

• Convergence Security Journal
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• v.24 no.3
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• pp.153-163
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• 2024

Despite the increasing hacking threats and security threats as IT technology advances and many companies adopt security solutions, cyberattacks and threats still persist for years. APT attack is a technique of selecting a specific target and continuing to attack. The threat of an APT attack uses all possible means through the electronic network to perform APT for years. Zero-day attacks, malicious code distribution, and social engineering techniques are performed, and some of them directly invade companies. These techniques have been in effect since 2000, and are similarly used in voice phishing, especially for social engineering techniques. Therefore, it is necessary to study countermeasures against APT attacks. This study analyzes the attack cases of Korean-based APT groups in Korea and suggests the correct method of using intelligence to analyze APT attack groups.

• Information Systems Review
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• v.17 no.1
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• pp.141-169
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• 2015

Electronic financial accidents are constantly happening and these accidents are taking place by a combination of several causes such as technique, human, and structure. Among electronic financial accidents, personal information disclosure is most frequently happening and becomes big problems, because secondary damage like voice phishing causes great loss to society. This research model is that financial information security compliance affects the crisis response of financial institutions and financial authorities and these crisis responses affect financial information security trust. Research target is people who experienced the disclosure of their own financial information. For empirical verification, survey questionnaires were distributed and total 103 questionnaires were collected and analyzed. As results of data analysis, all hypotheses were accepted. First, financial information security compliance influenced the crisis response of financial institutions and authorities. Second, the crisis response of financial institutions and authorities affect financial information security trust. Third, at the moderating effect analysis, the importance of personal financial information moderated the effect of the crisis response of financial institutions on financial information security trust. And the disclosure level of personal financial information moderated the effect of the crisis response of financial authorities on financial information security trust.

• The Journal of the Convergence on Culture Technology
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• v.4 no.1
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• pp.193-200
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• 2018

This study is an experiential case study of cybercrime fraud that combines pharming and voice phishing in April 2017. Research on victims who have actually suffered in the study of crime or disaster is a very useful field in establishing crime prevention measures. This study is significant in that Korea is relatively poor in this kind of research. I got cyber fraud as a consequence of my loss of reasonable judgment due to mental confusion when a companion dog who was raised for 8 years was in a very dangerous situation with cystitis. Fortunately, I received all the damages in a quick report, but the period was eight months. It took too much time to get back all the damages, so I had to suffer another pain. Based on my experience, I suggest damage prevention measures. First, when a certain condition and a certain amount are transferred, the transaction is automatically stopped or a more strict confirmation procedure is added. Secondly, trafficking means to arrest the perpetrator without any harm to the victim is sought. Third, the victims of crime should be promptly reimbursed for damages or a system for lending their living funds to zero or lower interest rate.