• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.285-291
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• 2022

With the growing exchange of data between individuals and institutions through various electronic communication, valuable data protection is in high demand to ensure that it is not hacked and that privacy is protected. Many security techniques, such as encryption and steganography, have emerged to prevent security breaches. The purpose of this research is to integrate cryptographic and steganography techniques to secure text message sending. The Rijndael algorithm was used to encrypt the text message, and the Least Significant Bit algorithm was also used to hide the encrypted message in a color image. Experiments on the suggested method have proven that it can improve the security of sent messages due to the human eye's inability to identify the original image from the image after it has been covered, as well as the encryption of the message using a password.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.903-906
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• 2011

소셜 네트워크를 통해 수집된 수많은 데이터들은 여러 분야에 중요한 자료로 활용되고 있으며, 소셜 네트워크상의 데이터들이 이용되면서 개인정보가 노출되는 프라이버시 문제가 발생하고 있다. 프라이버시 문제를 해결하기 위한 실용적인 방안으로 k-익명성, l-다양성 등의 개념과 이를 토대로 한 데이터 익명화 방법이 제안되어 있다. 데이터의 익명화에서는 원본데이터의 왜곡을 최소화하면서 프라이버시 보호를 극대화하는 것이 목적이다. 이러한 목적을 달성하기 위해 익명화 비용을 측정하기 위한 합리적인 방법이 필요하다. 본 논문에서는 소셜 네트워크 그래프의 익명화 알고리즘 수행을 위해 필수적 요소인 익명화 비용을 합리적이고 실용적으로 측정하는 방법을 제안한다.

• Spatial Information Research
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• v.20 no.4
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• pp.83-92
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• 2012

Location-based services (LBS) are increasingly popular due to the improvement of geo-positioning capabilities and wireless communication technology. However, in order to enjoy LBS services, a user requesting a query must send his/her exact location to the LBS provider. Therefore, it is a key challenge to preserve user's privacy while providing LBS. To solve this problem, the existing method employs a 2PASS cloaking framework that not only hides the actual user location but also reduces bandwidth consumption. However, 2PASS does not fully guarantee the actual user privacy because it does not take the real user distribution into account. Hence, in this paper, we propose a nearest neighbor query processing algorithm that supports K-anonymity property based on the weighted adjacency graph(WAG). Our algorithm not only preserves the location of a user by guaranteeing k-anonymity in a query region, but also improves a bandwidth usage by reducing unnecessary search for a query result. We demonstrate from experimental results that our algorithm outperforms the existing one in terms of query processing time and bandwidth usage.

• Spatial Information Research
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• v.20 no.3
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• pp.67-81
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• 2012

Due to the recent advancement of cloud computing, the research on database outsourcing has been actively done. Moreover, the number of users who utilize Location-based Services(LBS) has been increasing with the development in w ireless communication technology and mobile devices. Therefore, LBS providers attempt to outsource their spatial database to service provider, in order to reduce costs for data storage and management. However, because unauthorized access to sensitive data is possible in spatial database outsourcing, it is necessary to study on the preservation of a user's privacy. Thus, we, in this paper, propose a spatial data encryption scheme to produce outsourced database from an original database. We also propose a k-Nearest Neighbor(k-NN) query processing algorithm that efficiently performs k-NN by using the outsourced database. Finally, we show from performance analysis that our algorithm outperforms the existing one.

• Convergence Security Journal
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• v.24 no.2
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• pp.133-140
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• 2024

The spread of Direct-to-Consumer (DTC) genetic testing, where users request tests directly, has been increasing. With growing demand, certification systems have been implemented to grant testing qualifications to non-medical institutions, and the scope of tests has been expanded. However, unlike cases in less regulated foreign countries, disease-related tests are still excluded from the domestic regulations. The existing de-identification method does not adequately ensure the uniqueness and familial sharing of genomic information, limiting its practical utility. Therefore, this study proposes the application of fully homomorphic encryption in the analysis process to guarantee the usefulness of genomic information while minimizing the risk of leakage. Additionally, to safeguard the individual's right to self-determination, a privacy preservation model based on Opt-out is suggested. This aims to balance genomic information protection with maintainability of usability, ensuring the availability of information in line with the user's preferences.

• Journal of the Korean Institute of Landscape Architecture
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• v.33 no.5 s.112
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• pp.31-42
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• 2005

This study has been conducted in order to better understand a concrete and evidential disagreement that resulted from a conflict caused by the exploitation of folk village for tourism purposes. The purpose of this study was to analyze more realistically the phenomenon of the disagreement that originated from sightseeing in the hahoe folk villages by focusing on the problem between the ive groups as a potential and continual impediment to tourism. Two groups, residents and tourists, were compared in order to determine the underlying factors of the disagreement regarding exploitation of folk villages for tourism The two groups were clearly split: inhabitants of the village considered such exploitation negative, while tourists accepted it as positive. The two groups showed different understandings of the topic residents were in favor of the preservation of the physical resources, but against exposure of their private lives to the public, while tourists strongly respected the preservation of the resources of the village. A comparison of the common phenomena of disagreement between the two groups was performed, Variables that showed different responses between the two groups were loss of privacy of individual houses, verbal aggression and physical conflicts between the groups, and lack of administration. In most of the cases of disagreement, residents considered the disagreement phenomena to be more serious than tourists did except in one case: tourists placed a greater importance on the ugly view of the street market. Finally, in order to analyze the factors that impacted the level of the disagreement, a multiple regression analysis was conducted. Disagreement factors affecting tourists were verbal aggression between the groups, complaints about lodging and dining facilities, complaints about tourist facilities, and negligence of the administration in responding to requests. Among these, the most influential factor was verbal aggression between the groups. In fact, individual feelings between tourists and residents proved to be the biggest influence on the level of disagreement.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.213-216
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• 2013

Big data, the use of privacy has been increasing to the development of wireless network infrastructure or technology development and wired Internet. By the way, Enforcement of private data preservation law the infringement accident which is still caused by despite with private data outflow occurs. The private data outflow avoids finance and to become the fire tube. Analyzes the pattern of private data from search of private data and detection process and the research which it extracts and the research is necessary in about perfection elimination of the private data which is unnecessary. From the research which it sees it researched a pattern extraction research and a complete elimination method in about private data protection and it did the pattern extraction and a complete elimination experiment of private data.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.285-288
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• 2017

비식별화 모델은 데이터 공유를 위한 모델로 원본데이터를 비식별화 변환 처리하여 개인정보를 보호함과 동시에 분석에 필요한 데이터를 외부에 제공하는 모델로 연구되어 왔다. 변환 방법으로는 삭제, 일반화, 범주화 기술 등이 주로 사용되며 변환 과정 중에는 재식별 가능성을 최소화하기 위해 k-익명성, l-다양성, t-근접성 혹은 differential privacy 등의 프라이버시 모델이 적용되고 있다. 하지만 변환된 비식별 데이터 세트는 필연적으로 원본 데이터 세트와 다른 값을 가지며 이는 결과적으로 최종 분석 결과에 영향을 주게 된다. 이를 위해 두 데이터 세트 간의 차이를 상이도(dissimilarity) 혹은 정보 손실율(information loss)이라는 지표로 측정 하고 있으며 본 지표는 비식별 데이터의 활용성을 평가 하는 데에 매우 중요한 역할을 한다. 본 연구에서는 비식별 데이터와 원본 데이터와 간의 차이를 도메인 기반의 절대적인 기준대비로 표현한 상이도 측정 방법을 제안하며, 그 유효성을 실데이터 기반의 실험을 통해 검증하였다.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.169-176
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• 2023

The vehicular ad hoc network (VANET) is currently an important approach to improve personal safety and driving comfort. ANEL is a MAC-based authentication scheme that offers all the advantages of MAC-based authentication schemes and overcomes all their limitations at the same time. In addition, the given scheme, ANEL, can achieve the security objectives such as authentication, privacy preservation, non-repudiation, etc. In addition, our scheme provides effective bio-password login, system key update, bio-password update, and other security services. Additionally, in the proposed scheme, the Trusted Authority (TA) can disclose the source driver and vehicle of each malicious message. The heavy traffic congestion increases the number of messages transmitted, some of which need to be secretly transmitted between vehicles. Therefore, ANEL requires lightweight mechanisms to overcome security challenges. To ensure security in our ANEL scheme we can use cryptographic techniques such as elliptic curve technique, session key technique, shared key technique and message authentication code technique. This article proposes a new efficient and light authentication scheme (ANEL) which consists in the protection of texts transmitted between vehicles in order not to allow a third party to know the context of the information. A detail of the mapping from text passing to elliptic curve cryptography (ECC) to the inverse mapping operation is covered in detail. Finally, an example of application of the proposed steps with an illustration

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.4
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• pp.583-592
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• 2020

With the popularization of smartphones, Social Networking Service (SNS) has become the means of communication for modern people. Due to the nature of the means of communication, SNS generates a variety of archive and preservation evidence. Therefore, it is a major analysis target in terms of digital forensic investigation. An application that provides SNS stores data in a central server or database in a smartphone inside for user convenience. Some applications provide encryption for privacy, which can be anti-forensic in terms of digital forensic investigation. Therefore, the study of the encryption method should be continuously preceded. In this paper, we analyzed two applications that provide SQLite-based database encryption through SQLCipher module. Each database was decrypted and key data was identified.