• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.05a
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• pp.327-330
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• 2006

P2P 파일 공유 시스템은 중앙 서버를 거치지 않고 피어 컴퓨터들 간의 직접적인 자원 공유로 특징지워지는 P2P 기술의 대표적인 응용으로, 사용자는 인터넷을 통해 원하는 파일을 쉽게 검색, 획득, 유포할 수 있다. 그러나 악의적인 사용자가 허위 파일이나 바이러스를 유포할 수 있어, 허위파일로 인한 재전송이 빈번해짐으로써 네트워크 트래픽이 증가하고, 바이러스로 인한 피해가 발행할 수 있다. 또한, 자신의 파일에 대한 공유없이 다른 사용자들의 공유 파일만 다운로드하는 free riding 문제가 발생할 수 있다. 이 논문에서는 사용자의 파일 공유 트랜잭션 정보에 기반한 신뢰 정보를 이용하여 P2P 파일 공유 시스템의 문제점을 보완할 수 있는 시스템을 제안한다. 제안한 시스템에서 중앙 서버는 사용자의 파일 공유 트랜잭션 피드백을 이용하여 사용자 신뢰도를 구하여 허위파일이나 바이러스를 유포하는 악의적인 사용자나 free rider에 대해 시스템 사용을 제한한다. 사용자는 파일 다운로드 시에 중앙 서버로부터 사용자 메타데이터를 수신하여 자신의 선호도를 반영한 파일 신뢰도를 이용함으로써 허위파일이나 바이러스를 다운로드할 위험을 줄인다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.4
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• pp.848-854
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• 2017

Recently, false reports to governmental offices such as police stations have not been decreased. As a result, if a violent crime or a fire occurs that needs to be promptly responded to and reacted to these accidents in real time, it may lead to serious results such as loss of life. Also, the waste of police enforcement and administration due to false reporting can cause serious problems. In this paper, we try to clarify the difference between the actual and false reports based on the actual sound sources which were reported to the police stations. In addition, we will intend to develop a false report discrimination system that can identifies false reports and actual reports based on this.

• The Journal of the Acoustical Society of Korea
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• v.36 no.1
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• pp.49-56
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• 2017

This paper proposes a method to improve the left right discrimination performance by eliminating the imaginary target based on the frequency features of the beam pattern for bow array. The beamwidth of the imaginary target is wider than that of the real target. If an azimuth axis is considered as a time axis, the real and the imaginary targets can be assumed as high and low frequencies, respectively. To eliminate the imaginary target which has a low frequency component, we design a cut-off frequency of the High Pass Filter (HPF) using the back-lobe imaginary beamwidth. The real target is estimated by eliminating the imaginary target by applying HPF to the entire power of the beamformer output. Computer simulations show that the proposed method can increase the left right discrimination performance above 8 dB on average.

• Journal of Convergence for Information Technology
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• v.9 no.11
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• pp.15-21
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• 2019

Allowing only authorized users to record and inquire in the ledger, private blockchain technology is attracting attention from institutions and companies. Based on distributed ledger technology, records are immutable. Because news via the Internet can be easily modified, the possibility of manipulation is high. Some false communication report systems are designed to prevent such harm. However, during the gap between the false communication report and verification time, contents on the website can be modified, or false evidence can be submitted intentionally. We propose a system that collects evidence using a headless browser for more accurate false communication management, and securely preserves evidence through a private blockchain and prevents possibilities of manipulation. The proposed system downloads original HTML, captures the website as an image, stores it in a transaction along with the report, and stores it in a private blockchain to ensure the integrity from acquisition to preservation of evidence.

• Journal of the Korea Society for Simulation
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• v.18 no.3
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• pp.133-138
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• 2009

When sensor networks are deployed in open environments, an adversary may compromise some sensor nodes and use them to inject false sensing reports. False report attack can lead to not only false alarms but also the depletion of limited energy resources in battery powered networks. The Interleaved hop-by-hop authentication (IHA) scheme detects such false reports through interleaved authentication. In IHA, when a report is forwarded to the base station, all nodes on the path must spend energies on receiving, authenticating, and transmitting it. An dversary can spend energies in nodes by using the methods as a relaying attack which uses macro. The Adversary aim to drain the finite amount of energies in sensor nodes without sending false reports to BS, the result paralyzing sensor network. In this paper, we propose a countermeasure using fuzzy logic from the Denial of Service(DoS) attack and show an efficiency of energy through the simulataion result.

• Journal of the Korea Society for Simulation
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• v.19 no.1
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• pp.125-131
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• 2010

In wireless sensor networks application, sensor nodes are randomly deployed in wide and opened environment typically. Since sensor networks have these features, it is vulnerable to physical attacks in which an adversary can capture deployed nodes and use them to inject a fabricated report into the network. This threats of network security deplete the limited energy resource of the entire network using injected fabricated reports. A dynamic en-route filtering scheme is proposed to detect and drop the injected fabricated report. In this scheme, node executes the key redistribution to increases the detection power. It is very important to decide the authentication key redistribution because a frequent key redistribution can cause the much energy consumption of nodes. In this paper, we propose a key redistribution determining method to enhance the energy efficiency and maintain the detection power of network. Each node decides the authentication key redistribution using a fuzzy system in a definite period. The proposed method can provide early detection of fabricated reports, which results in energy-efficiency against the massive fabricated report injection attacks.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.2
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• pp.113-119
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• 2016

Wireless sensor networks are vulnerable to an adversary due to scarce resources and wireless communication. An adversary can compromise a sensor node and launch a variety of attacks such as false report injection attacks. This attack may cause monetary damage resulting in energy drain by forwarding the false reports and false alarms at the base station. In order to address this problem, a number of en-route filtering schemes has been proposed. Notably, a dynamic en-route filtering scheme can save energy by filtering of the false report. In the key dissemination phase of the existing scheme, the nodes closer to the source node may not have matching keys to detect the false report. Therefore, continuous attacks may result in unnecessary energy wastage. In this paper, we propose a key re-distribution scheme to solve this issue. The proposed scheme early detects the false report injection attacks using initially assigned secret keys in the phase of the key pre-distribution. The experimental results demonstrate the validity of our scheme with energy efficiency of up to 26.63% and filtering capacity up to 15.92% as compared to the existing scheme.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.459-467
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• 2020

The number of SNS false and exaggerative advertising has been consistently increasing nowadays. Among others, millennials who use SNS most frequently and enjoy e-commerce have become victims of false and exaggerative advertising. Thus, this study is designed to examine millennial consumers' attitude toward SNS false and exaggerative advertising through in-depth interview. Study findings suggest that millennials have very negative attitude toward SNS false and exaggerative advertising regardless of if they are victims or not. In particular, millennials who are victims of SNS false and exaggerative advertising have negative attitude toward SNS companies as well as advertised brands on SNS. Millennial consumers think that SNS companies need to come up with guidelines to regulate SNS false and exaggerative advertising, and government also needs to apply proper measures. Since SNS false and exaggerative advertising may have negative impacts on millennials' purchase intentions as well as brand loyalty, companies need to consider millennial consumers' characteristics when it comes to launching SNS advertising targeting millennials. This finding provides practical implications for marketers.

• Journal of KIISE:Software and Applications
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• v.33 no.5
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• pp.508-524
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• 2006

We present our experience of combining, in a realistic setting, a static analyzer with a statistical analysis. This combination is in order to reduce the inevitable false alarms from a domain-unaware static analyzer. Our analyzer named Airac(Array Index Range Analyzer for C) collects all the true buffer-overrun points in ANSI C programs. The soundness is maintained, and the analysis' cost-accuracy improvement is achieved by techniques that static analysis community has long accumulated. For still inevitable false alarms (e.g. Airac raised 970 buffer-overrun alarms in commercial C programs of 5.3 million lines and 737 among the 970 alarms were false), which are always apt for particular C programs, we use a statistical post analysis. The statistical analysis, given the analysis results (alarms), sifts out probable false alarms and prioritizes true alarms. It estimates the probability of each alarm being true. The probabilities are used in two ways: 1) only the alarms that have true-alarm probabilities higher than a threshold are reported to the user; 2) the alarms are sorted by the probability before reporting, so that the user can check highly probable errors first. In our experiments with Linux kernel sources, if we set the risk of missing true error is about 3 times greater than false alarming, 74.83% of false alarms could be filtered; only 15.17% of false alarms were mixed up until the user observes 50% of the true alarms.

• Journal of the Korea Society for Simulation
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• v.16 no.2
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• pp.27-35
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• 2007

When sensor networks are deployed in open environments, all the sensor nodes are vulnerable to physical threat. An attacker can physically capture a sensor node and obtain the security information including the keys used for data authentication. An attacker can easily inject false reports into the sensor network through the compromised node. False report can lead to not only false alarms but also the depletion of limited energy resource in battery powered sensor networks. To overcome this threat, Fan Ye et al. proposed that statistical on-route filtering scheme(SEF) can do verify the false report during the forwarding process. In this scheme, the choice of a security threshold value is important since it trades off detection power and energy, where security threshold value is the number of message authentication code for verification of false report. In this paper, we propose a fuzzy rule-based system for security threshold determination that can conserve energy, while it provides sufficient detection power in the SEF based sensor networks. The fuzzy logic determines a security threshold by considering the probability of a node having non-compromised keys, the number of compromised partitions, and the remaining energy of nodes. The fuzzy based threshold value can conserve energy, while it provides sufficient detection power.