• Journal of Internet Computing and Services
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• v.7 no.6
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• pp.175-183
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• 2006

An ad-hoc network is a group of mobile nodes acting as routers. The of hoc node has a precondition of mobility, allowing path to be easily disconnected when transmitting data, thereby increasing network overhead. However, most of hoc routing protocols set up the path based only on the number of hops without considering other practical factors. Here we consider a path with the least substantial number of transmission (SNT) from source to destination based on reliabilities of links. This includes retransmissions due to unreliable links. In this paper, an efficient ad-hoc link reliability based routing (PU) protocol suitable for mobile ah-hoc network in terms of SNT, is proposed. The network overhead and data transmission delay ore reduced, by considering both ad-hoc link reliability and the number of hops. Our empirical performance evaluation comparing to AODV (8) shows that the enhancement is up to about 31% for SNT depending upon the mobility of nodes.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.6
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• pp.1368-1373
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• 2015

Recently, There is increasing interest in the IoT(Internet of Thing) as intelligent information service that enables communication between people and things based on internet. In particular the demand for indoor location-based services with the development of smart devices is rapidly increasing. Using the RSSI signal that is provide to the BLE(Bluetooth Low Energy) for Indoor location information measurement calculates distance information between beacon and mobile terminal. However, simply using the RSSI signal to the distance measurement has a difficult to get the indoor location information due to the influence of the signal interference and the weather. In this paper, by performing an operation for obtaining a reliable distance information from the signal information of iBeacon we propose a system for providing reliable indoor location.

• Journal of Global Scholars of Marketing Science
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• v.16 no.3
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• pp.143-167
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• 2006

Despite the popularity of e-commerce, the understanding of preferred product types for information searches and purchase on the internet are not sufficient. This paper studies the effect of risk perception on information search behavior through online only, offline only, and on-offline together. Specially, this study classifies product types into search goods, experience goods, and credence goods. The study attempts to determine how the relationship between the perceived risk and the information search is influenced by the product knowledge level. The results show that the higher the risk perceptions about experience goods and credence goods, the more the consumer searches information through online and offline together when the consumer's knowledge level is low. When the consumer's knowledge level is high, however, the higher the risk perception regarding search goods, the more the consumer searches information through online only.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.6
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• pp.1-7
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• 2016

As new information and communication technologies evolve, security threats are also becoming increasingly intelligent and advanced. In this paper, we analyze the time series data continuously entered through a series of periods from the network device or lightweight IoT (Internet of Things) devices by using the statistical technique and propose a system to detect abnormal behaviors of the device or abnormality based on the analysis results. The proposed system performs the first level abnormal detection by using previously entered data set, thereafter performs the second level anomaly detection according to the trust bound configured by using stored time series data based on time attribute or group attribute. Multi-level analysis is able to improve reliability and to reduce false positives as well through a variety of decision data set.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2007.11a
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• pp.104-104
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• 2007

• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.586-588
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• 2001

인터넷상의 웹사이트들은 성교육 정보를 얻을 수 있는 탁월한 정보의 제공원이다. 웹 상에서 제공하는 성교육정보의 잠재적인 효용가치는 매우 크지만, 또한 공공의 사용자들에 대한 부정적인 효과도 야기할 수 있다. 웹 상에서 제공하는 성교육정보들은 그 질적인 수준이 같지 않으며 그 질을 평가하기가 쉽지 않다. 미국을 비롯한 정보선진국에서는 성교육 정보를 제공하는 웹사이트들에 대한 다양한 평가 기준이 제시되었으나, 한국의 성교육정보관련 웹사이트들에 대한 명확한 평가기준은 마련되어 있지 않다. 본 연구에서는 웹에서 제공하는 성교육정보의 질을 평가하기 위하여 15개의 평가 항목을 점검하였으며, 가장 중요한 15개의 항목을 신뢰도(3항목), 내용(6항목), 목적(2항목), 디자인 및 기술(4항목)로 구별하여, 한국의 성교육정보관련 웹사이트들을 평가할 수 있는 수단으로 사용하도록 하였으며, 이 기준을 이용하여 국내의 성교육 사이트들을 평가하였다.

• 정보보호뉴스
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• s.137
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• pp.26-29
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• 2009

지난 2008대규모 해킹 개인정보 유출 등 보안 사고로 얼룩진 한 해였다. 중국발 해킹으로 인해 국내 대표 오픈마켓 회원 1,000개인정보가 유출됐고, 포털 사이트의 고객 상담정보가 해커에 의해 탈취됐으며, 정유회사 고객정보 1,100내부 직원에 의해 유출되는 등 다양한 형태의 보안 사고가 발생했던 한해였다. 지난 십여년에 결쳐 진행된 정보화혁명으로 인해, 거의 모든 정보들이 디지털화되고 인터넷을 통한 유통이 일반화되면서 정보보호 이슈는 날이 갈수록 심화되고 있는 실정이다. 인터넷이 우리 사회에 가져 올 순기능은 형언할 수 없을 만큼 크지만 개인정보 침해를 비롯한 역기능 또한 심각한 수준에 이르고 있다. 향후 유비쿼터스 시대 도래 등과 더불어 다양한 개인 맞춤형 IT 서비스가 더욱 확산된다면 개인정보 보호와 프라이버시에 대한 이슈는 지금보다 더 첨예하게 대두될 것으로 예상된다. 더 많은 정보사회의 편익을 누리기 위해 개인정보의 적절한 수집과 활용은 계속될 것이기 때문이다. 그런 의미에서 개인정보 보호는 고도 정보화 사회를 위한 기본 전제조건이자, 결정적인 신뢰요소다. 그리고 지금은 우리 사회 의 개인정보보호 수준제고를 위해 모두의 지혜가 필요한 시점이다.

• Information Systems Review
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• v.17 no.2
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• pp.1-27
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• 2015

Internet shopping has continued to grow rapidly in the past decade. The main cause of this growth was the cheap price and convenience. However, internet shopping is uncertain compared to off-line shopping malls. Consumers don't have a chance to directly see and touch the products they will purchase. Many previous studies have suggested a trust to resolve this uncertainty. For purposes of the study, we examined how trust affects word-of-mouth effect and third-party assurance. Furthermore, using perceived risk and perceived price as moderating effects, we analyzed to see how each group-that is, those with high perceived risk and low perceived risk and those with high perceived price and low perceived price-shows differences in trust building. The results of empirical study found that both two variables of word-of-mouth effect and third-party assurance have significant impacts in trust building of internet shopping malls. It was proven that each group-those with high perceived risk and low perceived risk and those with high perceived price and low perceived price-showed differences in trust building. The results are expected to provide both the researchers of the trust study and hands-on worker with important implications.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.809-812
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• 2008

통신 시스템에 대한 관심은 인터넷의 급격한 발전에 의해 가상공간의 출현과 유비쿼터스 컴퓨팅 환경 구축에 대한 요구가 증대됨에 따라 관련 이론 및 기술의 발전을 주도해 왔다. 이와 관련하여 가장 근간이 되는 문제들 중 하나는 최적 정보 통신 스패닝 트리 (OCST: Optimal Communication Spanning Tree) 설계 문제이다. 본 논문에서는 이러한 OCST 설계 문제를 네트워크 신뢰도를 고려하여 해결하기 위해 유전 알고리즘 (GA)를 이용한다. 본 논문에서는 유전 알고리즘을 이용함에 있어서 n개의 노드들로 구성된 네트워크 문제에서 n-2개의 숫자열로 표현 가능한 유전자 표현법을 이용하고 신뢰성 있는 OCST 설계 문제 해결을 위한 해법으로서 유전 알고리즘을 제안한다. 임의로 생성된 예제에 대한 수치 실험을 통해 통신시스템의 기본 문제 중 하나인 OCST 설계 문제의 해법으로서의 제안 알고리즘의 유용성과 효율성을 확인한다.

• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.140-146
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• 2021

As the environment using intelligent IoT devices increases, various studies are underway to ensure the integrity of information sent and received from intelligent IoT devices. However, all IoT information generated in heterogeneous environments is not fully provided with reliable protocols and services. In this paper, we propose an intelligent-based multi-blockchain model that can extract only critical information among various information processed by intelligent IoT devices. In the proposed model, blockchain is used to ensure the integrity of IoT information sent and received from IoT devices. The proposed model uses the correlation index of the collected information to trust a large number of IoT information to extract only the information with a high correlation index and bind it with blockchain. This is because the collected information can be extended to the n-tier structure as well as guaranteed reliability. Furthermore, since the proposed model can give weight information to the collection information based on blockchain, similar information can be selected (or bound) according to priority. The proposed model is able to extend the collection information to the n-layer structure while maintaining the data processing cost processed in real time regardless of the number of IoT devices.