• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.3
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• pp.707-716
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• 2018

Recently, instead of technical cyber operations that directly attack the target information system by using cyber attack techniques, social engineering techniques that indirectly invade the system by exploiting the vulnerabilities of persons who manage the system are being watched. Despite this trend, there is a lot of confusion because there is no clear concept about the relationship between cyber operations and social engineering techniques. Therefore, this paper aims at establishing a clear concept of a social engineering cyber operation, helping future researchers in this literature.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.1151-1153
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• 2007

P2P 및 Mobile Network, Reputations System 등의 분산 시스템은 sybil attack 에 노출되어 있다. sybil attack 은 한 명의 사용자가 다수의 식별자를 가진 것으로 위장하여 시스템 내에서 마치 실제 다수의 사용자인 양 시스템을 악용하는 공격방법이다. sybil attack 을 막기 위한 다양한 노력이 진행되었고, 최근에 SybilGuard 라는 social network 를 이용한 방어 방법이 제시되었다. SybilGuard 는 악의적인 사용자를 막기 위하여, Random Walk 의 변형이면서 결정적인 경로의 특징을 가지는 임의경로(Random Route)를 사용하여 악의적인 사용자의 sybil attack 을 방어한다. SybilGuard 는 sybil node 의 개수를 제한하고, 이들을 하나의 동일한 그룹으로 분류할 수 있도록 하여 시스템 내에서 가짜 식별자의 개수를 제한한다. 이를 위해 각 노드가 시스템에 돌어올 때 Verifier(V)노드가 이들 노드를 확인하게 되는데, 이를 위해 시스템 내의 선한 노드(Honest Node)를 사용하여 이들을 확인한다. 이 때, honest node 들은 verifier 의 요청에 따라 확인요청을 수행하게 되는데, social network 의 특성상 몇몇 노드들은 사회적인 명망으로 매우 큰 링크수를 가지게 될 것이며, 따라서 이들 노드들이 처리해야할 요청의 양이 매우 많아지게 될 것이다. 따라서 이들 honest node 들 간에 로드분포를 균등하게 하는 것이 요구되며, 이 논문에서는 부하 조절을 하기 위한 기법을 제시하고, 이들을 평가한다.

• Journal of Korea Multimedia Society
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• v.19 no.1
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• pp.41-50
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• 2016

Moblie device based financial services are vulnerable to social engineering attacks because of the display screen of mobile devices. In other words, in the case of shoulder surfing, attackers can easily look over a user's shoulder and expose his/her password. To resolve this problem, a colour-based secure keyboard solution has been proposed. However, it is inconvenient for genuine users to verify their password using this method. Furthermore, password colours can be exposed because of fixed keyboard colours. Therefore, we propose a secure mobile authentication method to provide advanced functionality and strong privacy. Our authentication method is robust to social engineering attacks, especially keylogger and shoulder surfing attacks. According to the evaluation results, our method offers increased security and improved usability compared with existing methods.

• Journal of Korea Multimedia Society
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• v.18 no.3
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• pp.368-375
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• 2015

Nowaday, financial institutions provide secure mobile keyboard solutions to keep their mobile banking services safe. However, these are still vulnerable to attacks, such as shoulder surfing attack. Especially, in the case of handicapped person such as visual impairment and blindness, they are more vulnerable than ordinary person because of inconvenience of secure information input. Among them, we focused on the color blind. For the color blind, 4-color based secure keyboard method causes more inconvenience to notify exact color. Thus, we propose a secure mobile keyboard solution to provide advanced functionality for the color blind users. Our method is based on 4-color theorem to support color blind users. In addition, our scheme is robust against shoulder surfing attack. According to the evaluation result, our method offers increased security against shoulder surfing attack compare with existing methods.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.1
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• pp.215-223
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• 2019

The recent trend of cyber attack threat is mainly APT (Advanced Persistent Threat) attack. This attack is a combination of hacking techniques to try to steal important information assets of a corporation or individual, and social engineering hacking techniques aimed at human psychological factors. Spear phishing attacks, one of the most commonly used APT hacking techniques, are known to be easy to use and powerful hacking techniques, with more than 90% of the attacks being a key component of APT hacking attacks. The existing research for cyber security threat defense is mainly focused on the technical and policy aspects. However, in order to preemptively respond to intelligent hacking attacks, it is necessary to study different aspects from the viewpoint of social engineering. In this study, we analyze the correlation between human personality type (DISC) and cyber security threats, focusing on spear phishing attacks, and present countermeasures against security threats from a new perspective breaking existing frameworks.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.6
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• pp.1595-1606
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• 2018

Recently, there has been an increase in the number of social engineering techniques that indirectly attack the target system administrators or organizational weaknesses rather than the traditional technical cyber attacks that directly attacked the target systems. Accordingly, the type analysis and case study of social engineering techniques are being actively conducted. There has been, however, little effort to derive an analysis model that systematically analyzes social engineering based cyberspace operations. Therefore, this paper aims at building a Social Engineering Based Cyberspace Operations Analysis Model, which can be used as a reference framework for a case study or attack scenario generation of social engineering based cyberspace operations.

• Journal of Korea Multimedia Society
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• v.19 no.8
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• pp.1395-1403
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• 2016

In recent years, researches of security threats reported that various types of social engineering attack were frequently observed. In this paper, we propose secure keypad scheme for mobile devices. In our scheme, every edge of keypad is linked each other, and it looks like a sphere. With this keypad, users input their password using pre-selected grid pointer. Because of circulation of the keypad layout, even though the attacker snatch the user password typing motion through the human eyes or motion capture devices, attacker do not estimate the original password. Moreover, without the information of grid pointer position, the attacker do not acquire original password. Therefore, our scheme is resistant to password guessing attack.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.5
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• pp.835-846
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• 2020

BEC (Business Email Compromise) attacks are frequently occurring by impersonating accounts or management through e-mail and stealing money or sensitive information. This type of attack accounts for the largest portion of the recent trade fraud, and the FBI estimates that the estimated amount of damage in 2019 is about $17 billion. However, if you look at the response status of the companies compared to this, it relies on the traditional SPAM blocking system, so it is virtually defenseless against the BEC attacks that social engineering predominates. To this end, we will analyze the types and methods of BEC accidents and propose ways to effectively counter BEC attacks by companies through AI(Artificial Intelligence).

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.5
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• pp.567-575
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• 2020

As online social networks are used as a critical medium for modern people's information sharing and relationship, their users are increasing rapidly every year. This not only increases usage but also surpasses the existing media in terms of information credibility. Therefore, emerging marketing strategies are deliberately attacking social networks. As a result, public opinion, which should be formed naturally, is artificially formed by online attacks, and many people trust it. Therefore, many studies have been conducted to detect agents attacking online social networks. In this paper, we analyze the trends of researches attempting to detect such online social network attackers, focusing on researches using social network graph characteristics. While the existing content-based techniques may represent classification errors due to privacy infringement and changes in attack strategies, the graph-based method proposes a more robust detection method using attacker patterns.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.534-537
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• 2013

인터넷상에서 다양한 사용자 및 구성요소로 이루어진 분산시스템은 Sybil Attack 에 취약하다. 최근 온라인 소셜 네트워크(Online Social Network)의 그래프 정보를 사용해, Sybil Attack 에 대응하기 위한 Sybil-resistant value 추출 기법들이 제안되었다. 이 논문에서는 이러한 OSN 기반의 Sybil-resistant value 추출 기법들에 대한 성능을 평가한다. 특히 OSN 그래프의 각 노드들의 이웃 노드 개수 정보에 따른 성능과 Sybil 노드들의 Attack Edge 에 따른 성능을 평가한다. Facebook 에서 추출한 샘플 OSN 그래프를 사용한 성능 평가 분석을 통해, 실제 사용자를 위한 Sybil-resistant value 를 정상적으로 추출하기 위해서는 OSN 그래프 상에서 이웃 노드의 개수가 10 개 이상이어야 한다는 점과, Random Route Tail Intersection 기법이 Sybil 사용자 그룹의 Attack Edge 의 영향을 가장 적게 받는 다는점을 확인 하였다.