• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.198-201
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• 2022

Recently, new cyber threats targeting new technologies are increasing, and hackers' attack targets are becoming broader and more intelligent. To counter these attacks, major security companies are using traditional EDR (Endpoint Detection and Response) solutions. However, the conventional method does not consider the context, so there is a limit to the accuracy and efficiency of responding to an advanced attack. In order to improve this problem, the need for a security solution centered on XDR (Extended Detection and Response) has recently emerged. In this study, we present effective threat detection and countermeasures in a changing environment through XDR trends and development roadmaps using machine learning-based context analysis.

• Convergence Security Journal
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• v.16 no.7
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• pp.85-91
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• 2016

Block cipher is one of the prominent and important elements in cryptographic systems and study on the minimal construction is a major theme in the cryptographic research. Even and Mansour motivated by the study suggested a kind of block cipher called the Even-Mansour scheme in the early 1990s. It is a very simple cipher with one permutation and two secret keys. There have been many studies on the Even-Mansour scheme and security analysis of the scheme. We explain the Even-Mansour scheme and simplify those attacks on the Even-Mansour scheme with mathematical language. Additionally, we show that Pollard's rho attack to the discrete logarithm problem can be used to attack the Even-Mansour scheme with the same complexity of the Pollard's rho attack.

• Journal of Convergence Society for SMB
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• v.6 no.1
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• pp.17-23
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• 2016

Recently, Internet services via various devices including smartphone have become available. Because of the development of ICT, numerous hacking incidents have occurred and most of those attacks turned out to be APT attacks. APT attack means an attack method by which a hacker continues to collect information to achieve his goal, and analyzes the weakness of the target and infects it with malicious code, and being hidden, leaks the data in time. In this paper, we examine the information collection method the APT attackers use to invade the target system in a short time using big data, and we suggest and evaluate the countermeasure to protect against the attack method using big data.

• Journal of Convergence Society for SMB
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• v.5 no.4
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• pp.37-42
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• 2015

Due to the advance of ICT, a variety of attacks have been developing and active. Recently, APT attacks using malicious codes have frequently occurred. Advanced Persistent Threat means that a hacker makes different security threats to attack a certain network of a company or an organization. Exploiting malicious codes or weaknesses, the hacker occupies an insider's PC of the company or the organization and accesses a server or a database through the PC to collect secrets or to destroy them. The paper suggested a countermeasure to cope with APT attacks through an APT attack process. It sought a countermeasure to delay the time to attack taken by the hacker and suggested the countermeasure able to detect and remove APT attacks.

• Journal of information and communication convergence engineering
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• v.3 no.3
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• pp.163-166
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• 2005

The Key exchange protocols are very crucial tools to provide the secure communication in the broadband satellite access network. They should be required to satisfy various requirements such as security, Key confirmation, and Key freshness. In this paper, Two authenticated key exchange protocols TPEKE-E(Two Pass Encrypted Key Exchange-Exchange-Efficient) and TPEKE-S(Two Pass Encrypted Key xchange-Secure) are introduced. A basic idea of the protocols is that a password can be represented by modular addition N, and the number of possible modular addition N representing the password is $2^N$. The TPEKE-E is secure against the attacks including main-in-the-middle attack and off-line dictionary attack, and the performance is excellent so as beyond to comparison with other authenticated key exchange protocols. The TPEKE-S is a slight modification of the TPEKE-E. The TPEKE-S provides computational in feasibility for learning the password without having performed off line dictionary attack while preserving the performance of the TPEKE-E.

• Convergence Security Journal
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• v.20 no.2
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• pp.111-121
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• 2020

Deep neural networks (DNNs) provide good performance for machine learning tasks such as image recognition and object recognition. However, DNNs are vulnerable to an adversarial example. An adversarial example is an attack sample that causes the neural network to recognize it incorrectly by adding minimal noise to the original sample. However, the disadvantage is that it takes a long time to generate such an adversarial example. Therefore, in some cases, an attack may be necessary that quickly causes the neural network to recognize it incorrectly. In this paper, we propose a fast misclassification sample that can rapidly attack neural networks. The proposed method does not consider the distortion of the original sample when adding noise. We used MNIST and CIFAR10 as experimental data and Tensorflow as a machine learning library. Experimental results show that the fast misclassification sample generated by the proposed method can be generated with 50% and 80% reduced number of iterations for MNIST and CIFAR10, respectively, compared to the conventional Carlini method, and has 100% attack rate.

• Convergence Security Journal
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• v.17 no.4
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• pp.17-29
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• 2017

Various cyber attacks against our society and the government are continuing, and cases and damages are reported from time to time. And the area of cyber attack is not limited to cyberspace, but it is expanding into physical domain and affecting it. In the military arena, we have established and implemented the principle of responding proportionally to enemy physical attacks. This proportionality principle is also required in the version where the region is expanding. In order to apply it, it is necessary to have a quantitative and qualitative countermeasure against cyber attack. However, due to the nature of cyber attacks, it is not easy to assess the damage accurately and it is difficult to respond to the proportionality principle and the proportional nature. In this study, we calculated the damage scale by quantitatively and qualitatively evaluating the cyber attack damage using the Gorden-Lobe model and the security scoring technique based on the scenario. It is expected that the calculated results will be provided as appropriate level and criterion to counteract cyber attack.

• Journal of Convergence Society for SMB
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• v.4 no.3
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• pp.1-6
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• 2014

DDoS (Distributed Denial Service, Distributed Service) attacks are being generated for a constant threat on the Internet, countermeasures for this have been proposed. However, the problem has become an increasingly effective instruction in any Measures are a variety of attacks and sophisticated attacks. Attackers can change a steady attack tools to respond to these, the experts as a countermeasure to this constantly research for a fresh attack. This paper is to introduce countermeasures to DDoS recent representative examples of 7.7DDoS and look for 3.3DDoS existing types of DDoS attacks increased PPS attacks, high traffic sent, web service delay and router and firewall settings, applications and to describe the DDoS countermeasures research by certification, is so that you can plan effectively for the future DDoS attacks proposed method.

• Convergence Security Journal
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• v.20 no.1
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• pp.49-57
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• 2020

It is no exaggeration to say that we live with cyber threats every day. Nevertheless, it is difficult for us to obtain objective information about cyber threats and attacks because it is difficult to clearly identify the attacker, the purpose of attack, and the range of damage, and rely on information from a single source. In the preceding research of this study, we proposed the new approach for establishing Database (DB) for cyber attacks using Open Source Intelligence(OSINT). In this research, we present the evaluation factors for cyber threats among cyber attack DB and analyze the priority of those factors in oder to quantify cyber threats. We select the purpose of attack, attack category, target, ease of attack, attack persistence, frequency of OSINT DB, and factors of the lower layer for each factor as the evaluation factors for cyber threats. After selection, the priority of each factor is analyzed using the Analytic Hierarchy Process(AHP).

• Convergence Security Journal
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• v.23 no.4
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• pp.43-52
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• 2023

Many businesses and organizations use smartcard-based user authentication for remote access. In the meantime, through various studies, dynamic ID-based remote user authentication protocols for distributed multi-server environments have been proposed to protect the connection between users and servers. Among them, Qiu et al. proposed an efficient smart card-based remote user authentication system that provides mutual authentication and key agreement, user anonymity, and resistance to various types of attacks. Later, Andola et al. found various vulnerabilities in the authentication scheme proposed by Qiu et al., and overcame the flaws in their authentication scheme, and whenever the user wants to log in to the server, the user ID is dynamically changed before logging in. An improved authentication protocol is proposed. In this paper, by analyzing the operation process and vulnerabilities of the protocol proposed by Andola et al., it was revealed that the protocol proposed by Andola et al. was vulnerable to offline smart card attack, dos attack, lack of perfect forward secrecy, and session key attack.