• Journal of Ubiquitous Convergence Technology
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• 제2권1호
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• pp.12-17
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• 2008

In this paper, the 128bit AES block cipher algorithm OCB (Offset Code Book) mode for privacy and authenticity of high speed packet data was efficiently designed in C language level and was optimized to support the required capacity of contents server using high performance DSP. It is known that OCB mode is about two times faster than CBC-MAC mode. As an experimental result, the encryption / decryption speed of the implemented block cipher was 308Mbps, 311 Mbps respectively at 1GHz clock speed, which is 50% faster than a general design with 3.5% more memory usage.

• Journal of Information Processing Systems
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• 제7권1호
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• pp.159-172
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• 2011

A designated verifier signature is a special type of digital signature, which convinces a designated verifier that she has signed a message in such a way that the designated verifier cannot transfer the signature to a third party. A strong designated verifier signature scheme enhances the privacy of the signer such that no one but the designated verifier can verify the signer's signatures. In this paper we present two generic frame works for constructing strong designated verifier signature schemes from any secure ring signature scheme and any deniable one-pass authenticated key exchange protocol, respectively. Compared with similar protocols, the instantiations of our construction achieve improved efficiency.

• 한국정보통신학회논문지
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• 제15권2호
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• pp.471-476
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• 2011

본 연구는 이러닝을 실시하는데 있어 플래시와 같은 애니메이션 콘텐츠가 미치는 영향에 대하여 알아보았다. 보다 구체적으로 애니메이션 콘텐츠의 어떠한 속성들이 개인정보보안 관련 이러닝 학습에 긍정적인 영향을 미치는지 알아보고자 하였다. 그 결과 플래시 애니메이션의 속성인 캐릭터와 스토리가 학습자들의 이러닝 학습 효과를 높이는데 긍정적인 영향을 미치는 것을 알 수 있었다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2007년도 추계학술발표대회
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• pp.1242-1245
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• 2007

국가 재난관리 시스템(National Disaster Management System: NDMS)은 개발 및 운용상의 여러 이유로 인해 개인정보의 수집을 필요로 한다. 그러나 이렇게 수집된 개인정보는 수집단계에서부터 소멸단계까지 인가/비인가 관리자에 의한 악용 또는 침해우려가 높다. 본 논문에서는 이러한 개인정보들의 관리 및 보호를 위해 재난관리시스템을 대상으로 보호대상 개인정보를 분석하고, 도출된 개인정보에 대하여 재난관리 업무상의 보호/통제를 평가하며, 개인정보 Life Cycle 별 위협 요소 및 잠재 위험 분석을 통한 영향평가를 수행하여 개인정보보호를 위한 관리적, 기술적, 물리적 대응방안을 제시하고자 한다.

• International Journal of Computer Science & Network Security
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• 제22권6호
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• pp.256-274
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• 2022

The continuous information technology and telecommunication (ICT) developments inspire several Saudi Arabia citizens to transact and interact online. However, when using online platforms, several people are likely to lose their personal information to cybercriminals. In the survey, 553 Saudi Arabia citizens and 103 information technology (IT) specialists confirm the expansion of digital economy and the need for smart cities with various services, including e-commerce and solid cyber security. 96.6% of the participants believe Saudi Arabia is digitalizing its economy; yet, 33.3% of the participants believe that residents are uninformed about living and operating in smart cities. Several people (47.29%) with medium internet speed are more aware about smart cities than those with fastest internet speed (34%). Besides, online transactions via credit cards subjected 55.5% of the participants to privacy and security issues. These findings validate the essence of cyber security awareness programs among Saudi Arabia citizens and IT professionals to boost public trust and acceptance of cybersecurity frameworks.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2023년도 제68차 하계학술대회논문집 31권2호
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• pp.631-633
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• 2023

본 논문에서는 빅데이터의 활용이 확산되는 현대 사회에서 빅데이터의 수집, 관리, 이용 등에서 나타날 수 있는 문제를 확인하고 그 문제에 대한 기존의 대응 방법과 보완점을 시사한다. 빅데이터의 위험성은 개인 정보유출, 디지털 디바이드, 편향성과 신뢰성, 의존성과 통제 가능성 등이 있다. 해당 문제는 빅데이터의 보편화가 가중될수록 큰 규모의 사회적 문제로 대두될 가능성이 높다. 이를 보완하기 위한 대응 방법을 크게 기술적 대응, 법적 대응, 사회적 대응으로 나누어 알아보고 각 부분의 취약점을 분석하여 개선의 방향을 제시한다.

• International Journal of Computer Science & Network Security
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• 제24권4호
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• pp.155-162
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• 2024

Anonymity online has been an ever so fundamental topic among journalists, experts, cybersecurity professionals, corporate whistleblowers. Highest degree of anonymity online can be obtained by mimicking a normal everyday user of the internet. Without raising any flags of suspicion and perfectly merging with the masses of public users. Online Security is a very diverse topic, with new exploits, malwares, ransomwares, zero-day attacks, breaches occurring every day, staying updated with the latest security measures against them is quite expensive and resource intensive. Network security through anonymity focuses on being unidentifiable by disguising or blending into the public to become invisible to the targeted attacks. By following strict digital discipline, we can avoid all the malicious attacks as a whole. In this paper we have demonstrated a proof of concept and feasibility of securing yourself on a network by being anonymous.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2005년도 춘계학술대회
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• pp.107-143
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• 2005

Mobile service that geography, position by development of space Information Technology and technology of communications, space are various to us now becoming limelight as point contents and infra information that customers do demand based on radio superhigh speed authentication net on highly information society by offer infringement problem about individual's privacy or information by political and scientific interest be injured. Purpose of this study grasps use factor of LBS application Mobile service, and it is that analyze actual proof through questionnaire to grasp whether some relation is with value and action determination that is felt of LBS application Mobile service. Distributed all question of 190 copies but disk floret inclination did valid data 171 that clear question and omission remove a lot of questions by type of study among questionnaire of collected 182 wealths. Analyzed factor analysis and authoritativeness to search validity and confidence of questionnaire and used single regression analysis and multiple regression analysis for hypothetical verification. According to verification result, Mobile service that apply position base service usefulness and system quality, adaptedness of Mobile service that apply position base service by leading person affecting in use, acted for connection healthy and felt value is important factor immediately. Usability and social effect, felt expense, privacy did not appear by leading person that keep in mind in this study. Is been related with step that Mobile service that apply position base service is placed. That is, as present childhood, a person who have experience that use service to look for friend is few and usability fairly in last in wide application boundary and this very important person was removed finally in model. This study has sense in terms of study systematically about LBS application service use leading person that is getting into the spotlight worldwide among Mobile service that is injured newly.

• 의료법학
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• 제22권1호
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• pp.57-90
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• 2021

의료인이 직접 환자를 진료하는 형태의 원격진료가 현행 의료법에서 허용이 되는지 여부와 의료법상 허용을 떠나 정책적으로 허용하는 것이 바람직한지의 문제가 오랫동안 논란이 되어 왔다. 그러다가 코비드19라는 인류가 드물게 겪는 팬데믹 상황으로 인하여 우리나라에서 한시적으로 허용이 되었고 외국에서도 이용이 폭발적으로 증가하면서 다시 관심을 받고 있다. 원격진료의 허용 여부에 관하여는 이미 많은 논문이 존재하지만, 막상 원격진료가 실시될 경우 그에 수반되어 발생할 수 있는 부수적인 법적 쟁점들에 관하여는 논의가 부족했던 부분이 있어 이 글에서 다루었다. 필자는 국민건강보험의 수가정책, 환자 본인 확인, 의약품 비대면 구매, 진료장면 녹화에 관하여는 입법적으로 미리 정비를 하는 것이 바람직하다고 보았고, 원격진료에 필요한 시설 기준은 오히려 법제화를 하면 현실에 뒤떨어지거나 변화에 대응하는 탄력성이 떨어지므로 법제화를 하지 않고 대신 의료인이 의료기기법상 승인을 받은 원격진료용 기기를 사용하는 것으로 충분하다고 판단하였으며, 끝으로 원격진료의 맥락에서 발생한 의료사고의 책임이라든가 개인정보 보호는 기존의 민사법이나 개인정보 보호법으로 이미 충분한 대응이 되므로 별도의 특칙을 제정할 필요는 없다는 결론을 내렸다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권2호
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• pp.742-756
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• 2022

A flood of information has occurred with the rise of the internet and digital devices in the fourth industrial revolution era. Every millisecond, massive amounts of structured and unstructured data are generated; smartphones, wearable devices, sensors, and self-driving cars are just a few examples of devices that currently generate massive amounts of data in our daily. Machine learning has been considered an approach to support and recognize patterns in data in many areas to provide a convenient way to other sectors, including the healthcare sector, government sector, banks, military sector, and more. However, the conventional machine learning model requires the data owner to upload their information to train the model in one central location to perform the model training. This classical model has caused data owners to worry about the risks of transferring private information because traditional machine learning is required to push their data to the cloud to process the model training. Furthermore, the training of machine learning and deep learning models requires massive computing resources. Thus, many researchers have jumped to a new model known as "Federated Learning". Federated learning is emerging to train Artificial Intelligence models over distributed clients, and it provides secure privacy information to the data owner. Hence, this paper implements Federated Averaging with a Deep Neural Network to classify the handwriting image and protect the sensitive data. Moreover, we compare the centralized machine learning model with federated averaging. The result shows the centralized machine learning model outperforms federated learning in terms of accuracy, but this classical model produces another risk, like privacy concern, due to the data being stored in the data center. The MNIST dataset was used in this experiment.