• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.242-245
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• 2002

Authentication protocol as a part of security system has been growth rapidly since it was known that sending clear text password in the network is unsecured. Many protocols could be noted proposed to strengthen the authentication process. In 1985 an attempt to safeguard network services within Athena project resulting on the born of Kerberos 〔1〕〔8〕, one of the protocol that has a lot of attention from the research community. Several years later researchers were discovered some weaknesses carried by this protocol 〔2〕〔21〕. In 1992. EKE was introduced by Bellovin and Merrit. Since that time, many protocols introduced could be considered as its variant 〔5〕〔9〕〔13〕〔14〕. Some other protocols such as OKE〔5〕 and SRP〔18〕 although claimed different from EKE, they have the same basic mechanism in holding authentication process. Here, we explain the mechanism of those protocols, their strength and their weaknesses and shortcomings. Due to the limitations of the number of paper pages, only two types of authentication protocol can be explained here i.e EKE and SRP.

• Journal of Korea Multimedia Society
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• v.21 no.5
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• pp.617-625
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• 2018

Phishing website has become a crucial concern in cyber security applications. It is performed by fraudulently deceiving users with the aim of obtaining their sensitive information such as bank account information, credit card, username, and password. The threat has led to huge losses to online retailers, e-business platform, financial institutions, and to name but a few. One way to build anti-phishing detection mechanism is to construct classification algorithm based on machine learning techniques. The objective of this paper is to compare different classifier ensemble approaches, i.e. random forest, rotation forest, gradient boosted machine, and extreme gradient boosting against single classifiers, i.e. decision tree, classification and regression tree, and credal decision tree in the case of website phishing. Area under ROC curve (AUC) is employed as a performance metric, whilst statistical tests are used as baseline indicator of significance evaluation among classifiers. The paper contributes the existing literature on making a benchmark of classifier ensembles for web phishing detection.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.1
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• pp.41-47
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• 2016

In Black hat USA 2014, a hacking method to infer the password entry of smartphone or smartpad with google glass in distance is presented. In this paper, we design the secure keypad to protect the key stroke inference attacks with google glass which has unique layout ensuring same input entry but different input value.

• Journal of Information Processing Systems
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• v.14 no.2
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• pp.523-538
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• 2018

Keystroke dynamics user authentication is a behavior-based authentication method which analyzes patterns in how a user enters passwords and PINs to authenticate the user. Even if a password or PIN is revealed to another user, it analyzes the input pattern to authenticate the user; hence, it can compensate for the drawbacks of knowledge-based (what you know) authentication. However, users' input patterns are not always fixed, and each user's touch method is different. Therefore, there are limitations to extracting the same features for all users to create a user's pattern and perform authentication. In this study, we perform experiments to examine the changes in user authentication performance when using feature vectors customized for each user versus using all features. User customized features show a mean improvement of over 6% in error equal rate, as compared to when all features are used.

• Journal of Korea Multimedia Society
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• v.18 no.12
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• pp.1483-1491
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• 2015

Applications of Internet of Things (IoT) supply various conveniences, however unsolved security problems such as personal privacy, data manipulation cause harm to persons, even nations and an limit the applicable areas of Internet of IoT technology. Therefore, study about secure and efficient security system on IoT are required. This paper proposes ID-based remote user authentication scheme in IoT environments. Proposed scheme provides untraceability of users by using different pseudonym identities in every session and reduces the number of variables. Our proposal is secure against inside attack, smart card loss attack, user impersonation attack, server masquerading attack, online/offline password guessing attack, and so on. Therefore, this can be applied to the lightweight IoT environments.

• Journal of Information Processing Systems
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• v.11 no.1
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• pp.104-115
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• 2015

Along with the evolution of Internet and its new emerging services, the quantity and impact of attacks have been continuously increasing. Currently, the technical capability to attack has tended to decrease. On the contrary, performances of hacking tools are evolving, growing, simple, comprehensive, and accessible to the public. In this work, network penetration testing and auditing of the Redhat operating system (OS) are highlighted as one of the most popular OS for Internet applications. Some types of attacks are from a different side and new attack method have been attempted, such as: scanning for reconnaissance, guessing the password, gaining privileged access, and flooding the victim machine to decrease availability. Some analyses in network auditing and forensic from victim server are also presented in this paper. Our proposed system aims confirmed as hackable or not and we expect for it to be used as a reference for practitioners to protect their systems from cyber-attacks.

• The Journal of Society for e-Business Studies
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• v.5 no.2
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• pp.1-25
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• 2000

The utilization of Internet, which started only at the level of advertisement, has been gradually expanding its application areas as the trial commercial transaction becomes successful, the password-coding technology which removes the risks on the cyber transaction develops, the electronic money appears and other various related technologies progress. Following this trend the securities industry has been experiencing changes along with efforts to use it commercially. This study is to analyze the work of cyber securities companies on the basis of the theoretical background through preceding studies and literature and also analyze the common and different reasons for superiority-securing strategy in competition along with problems and their reasons. And also the objective of this study is to offer new superiority-securing strategy in competition and problem-solving strategy.

• Proceedings of the Korea Database Society Conference
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• 2000.11a
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• pp.289-296
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• 2000

The utilization of Internet, which started only at the level of advertisement, has been gradually expanding its application areas as the trial commercial transaction becomes successful, the password-coding technology which removes the risks on the cyber transaction develops, the electronic money appears and other various related technologies progress. Following this trend the securities industry has been experiencing changes along with efforts to use it commercially. This study is to analyze the work of cyber securities companies on the basis of the theoretical background through preceding studies and literature and also analyze the common and different reasons for superiority-securing strategy in competition along with problems and their reasons. And also the objective of this study is to offer new superiority-securing strategy in competition and problem-solving strategy.

• Journal of Multimedia Information System
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• v.5 no.2
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• pp.99-104
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• 2018

Phishing website has become a crucial concern in cyber security applications. It is performed by fraudulently deceiving users with the aim of obtaining their sensitive information such as bank account information, credit card, username, and password. The threat has led to huge losses to online retailers, e-business platform, financial institutions, and to name but a few. One way to build anti-phishing detection mechanism is to construct classification algorithm based on machine learning techniques. The objective of this paper is to compare different classifier ensemble approaches, i.e. random forest, rotation forest, gradient boosted machine, and extreme gradient boosting against single classifiers, i.e. decision tree, classification and regression tree, and credal decision tree in the case of website phishing. Area under ROC curve (AUC) is employed as a performance metric, whilst statistical tests are used as baseline indicator of significance evaluation among classifiers. The paper contributes the existing literature on making a benchmark of classifier ensembles for web phishing detection.

• Journal of Korea Multimedia Society
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• v.19 no.8
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• pp.1320-1328
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• 2016

In this paper, we propose a novel security system using hand gesture recognition. Proposed system does not create a password as numbers, but instead, it creates unique yet simple pattern created by user's hand movement. Because of the fact that individuals have different range of hand movement, speed, direction, and size while drawing a pattern with their hands, the system will be able to accurately recognize only the authorized user. To evaluate the performance of our system, various patterns were tested and the test showed a satisfying result.