• Journal of Digital Convergence
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• v.10 no.6
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• pp.231-239
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• 2012

This paper tries to solve the problems which previous methods have such as the WCDRM(Watermark and Cryptography DRM) and the model using smart card for protecting digital contents. This study provides a contents distribution model to protect the rights of author, distributor, and user as well as user's information by using technologies such as cryptography, DRM(Digital Right Management), access control, etc. The proposed system is evaluated as the most safety model compared with previous methods because it not only solves the problems which the previous methods have, but also protects four type of risks such as use of contents which other mobile devices download, the attack on the key to decode the message, the attack on leaking the contents, and the internal attack such as an illegal reproduction.

• Journal of Internet Computing and Services
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• v.5 no.5
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• pp.49-60
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• 2004

Information Warfare(IW), a new aspect of war, is the field centralized the concern and research in the information security and national security, Both the defense and the offensive are important in the next generation IW, and so we need to do the various research to secure the network and system for gaining the superiority of IW. This paper proposes a model for IW based on software cruise to prepare the IW that is changing the offensive aspect. Software cruise is defined as a behavior of computer programs that travel toward specific destination from a source through the network. The proposed model have the cruise property and uses the cybermap to cruise toward the destination chosen in advance. Also, while self-movement, the model can function the predefined task.

• Journal of the Korea Convergence Society
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• v.3 no.1
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• pp.19-25
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• 2012

This paper tries to solve the problems which previous methods have such as the WCDRM(Watermark and Cryptography DRM) and the model using smart card for protecting digital contents. This study provides a contents distribution model to protect the rights of author, distributor, and user as well as user's information by using technologies such as cryptography, DRM(Digital Right Management), access control, etc. The proposed system is evaluated as the most safety model compared with previous methods because it not only solves the problems which the previous methods have, but also protects four type of risks such as use of contents which other mobile devices download, the attack on the key to decode the message, the attack on leaking the contents, and the internal attack such as an illegal reproduction.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.16 no.1
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• pp.65-70
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• 2006

It is hewn that we can apply algebraic attacks on combiners with memory such as summation generators. [1,8] To apply algebraic attacks on combiners with memory, we need to construct algebraic relations between the keystream bits and the initial bits of the LFSRs. Until now, all known methods produce algebraic relations involving several consecutive bits of keystream. [l.4.8] In this paper, we show that algebraic relations involving only one keystream bit can be constructed for summation generators. We also show that there is an algebraic relation involving only one keystream bit for ISG (9) proposed by Lee and Moon. Using this fact, we analyze the keystream generators which generate the keystreams by combining summation generators.

• Annual Conference of KIPS
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• 2011.04a
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• pp.808-811
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• 2011

Sun 등은 pay-TV 를 위한 새로운 접근제어 모델을 제안하였다. 그들의 모델은 서비스 제공자와 사용자 간의 형평성 (fairness)을 보장하고, 사용자에게 편의 (convenience)를 제공한다. 또한, Sun 등은 그들이 제안한 접근제어 모델을 지원하기 위한 새로운 접근제어 시스템을 제안하였다. 그들이 제안한 시스템은 대규모 그룹에도 적용할 수 있도록 확장 가능한 (scalable) 키 관리를 수행한다. 그러나 그들의 시스템은 pay-TV 의 핵심 보안 요구사항인 후방향 안전성 및 전방향 안전성(backward/forward secrecy)을 만족하지 못할 뿐 아니라, 공모 공격 (collusion attack)에 대한 취약점이 존재하고, 공격에 대한 낮은 복원 능력 (poor reparability)을 갖는다. 본 논문에서는 공격 시나리오를 통해 Sun 등이 제안한 시스템의 보안 문제점을 분석하고 그 결과를 제시한다.

• Journal of Internet Computing and Services
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• v.23 no.5
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• pp.79-85
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• 2022

Anomaly detection is a method to detect and block abnormal data flows in general users' data sets. The previously known method is a method of detecting and defending an attack based on a signature using the signature of an already known attack. This has the advantage of a low false positive rate, but the problem is that it is very vulnerable to a zero-day vulnerability attack or a modified attack. However, in the case of anomaly detection, there is a disadvantage that the false positive rate is high, but it has the advantage of being able to identify, detect, and block zero-day vulnerability attacks or modified attacks, so related studies are being actively conducted. In this study, we want to deal with these anomaly detection mechanisms, and we propose a new mechanism that performs both anomaly detection and classification while supplementing the high false positive rate mentioned above. In this study, the experiment was conducted with five configurations considering the characteristics of various algorithms. As a result, the model showing the best accuracy was proposed as the result of this study. After detecting an attack by applying the Extra Tree and Three-layer ANN at the same time, the attack type is classified using the Extra Tree for the classified attack data. In this study, verification was performed on the NSL-KDD data set, and the accuracy was 99.8%, 99.1%, 98.9%, 98.7%, and 97.9% for Normal, Dos, Probe, U2R, and R2L, respectively. This configuration showed superior performance compared to other models.

• Journal of Korean Home Economics Education Association
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• v.26 no.1
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• pp.17-30
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• 2014

This study examined the effect of middle school students' perceived marital conflict on the middle school students' aggression. Also it examined the differences of male and female middle school students. The researcher surveyed 500 questionnaires for middle school students and was using 444 questionnaires in the final analysis. To analysis the data, t-test, Pearson correlation and the multiple group Structural Equation Modeling approach was used. It was sown that in the middle school students who highly perceived their interparental conflict, the higher the aggression. Interpartental conflicts significantly affected on middle school students' aggression in male and female students. It was sown, also that in the male middle school students who highly perceived their interparental conflict than girl students who highly perceived, the higher the aggression. In conclusion, this study demonstrates the importance of parental roles have effects on middle school students' problem behavior. Especially it was found that male middle school students aggression are influences by interparental conflict. Accordingly, this study has significances by proposing methods of efficient parental consultation and education to resolve parental conflicts.

• Journal of the Korea Convergence Society
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• v.8 no.8
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• pp.51-57
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• 2017

A wireless sensor network is composed of many resource constrained sensor nodes. These networks are attacked by malicious attacks like DDoS and routing attacks. In this paper, we propose the intrusion detection and prevention system using convergence of software-defined networking and security technology in wireless sensor networks. Our proposed scheme detects various intrusions in a central server by accumulating log messages of OpenFlow switch through SDN controller and prevents the intrusions by configuring OpenFlow switch. In order to validate our proposed scheme, we show it can detect and prevent some malicious attacks in wireless sensor networks.

• Journal of Internet Computing and Services
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• v.25 no.2
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• pp.1-9
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• 2024

Although federated learning is designed to be safer than centralized methods in terms of security and privacy, it still has many vulnerabilities. An attacker performing an adversarial attack intentionally manipulates the deep learning model by injecting carefully crafted input data, that is, adversarial examples, into the client's training data to induce misclassification. A common defense strategy against this is so-called adversarial training, which involves preemptively learning the characteristics of adversarial examples into the model. Existing research assumes a scenario where all clients are under adversarial attack, but considering the number of clients in federated learning is very large, this is far from reality. In this paper, we experimentally examine aspects of adversarial training in a scenario where some of the clients are under attack. Through experiments, we found that there is a trade-off relationship in which the classification accuracy for normal samples decreases as the classification accuracy for adversarial examples increases. In order to effectively utilize this trade-off relationship, we present a method to perform adversarial training by adaptively selecting a loss function depending on whether the client is attacked.

• Annual Conference of KIPS
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• 2008.11a
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• pp.1563-1566
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• 2008

본 논문에서는 데이터의 전처리과정으로 SNMP MIB 데이터에 대한 속성 부분집합의 선택 방법(attribute subset selection)을 사용하여 특징선택 및 축소(feature selection & reduction)를 실시하였다. 또한 데이터 마이닝의 대표적인 해석학적 분석 모델인 연관관계규칙기법(association rule mining)을 이용하여 트래픽 폭주 공격 및 공격유형별 SNMP MIB 데이터에 내재되어 있는 특징들을 규칙의 형태로 추출하여 분석하는 의미론적 심층해석을 실시하였다. 공격유형에 대한 패턴 규칙의 추출 및 분석은 공격이 발생한 프로토콜에 대해서만 서비스를 제한하고 관리할 수 있는 정책적 근거를 제공함으로써 보다 안정적인 네트워크 환경과 원활한 자원관리를 지원할 수 있다. 본 논문에서 제시한 트래픽 폭주 공격 및 공격유형별 데이터로부터의 자동적 특징의 규칙 추출 및 의미론적 해석방법은 침입탐지 시스템을 위한 새로운 방법론에 모멘텀을 제시할 수 있다는 긍정적인 가능성과 함께 침입탐지 및 대응시스템의 정책 수립을 지원할 수 있을 것으로 기대된다.