• Korean Journal of Child Studies
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• v.20 no.4
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• pp.247-263
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• 1999

Literacy-related communication and information types naturally occurring in the dramatic play area were observed during free play over a 4 week period. Participants were 21 boys and 16 girls enrolled in a kindergarten class in Taegu. Types of literacy-related communication frequently used during social pretend play were Description, Suggestion, Question, and Answer. Negative types of literacy-related communication, such as Threat, Protest, and Warning were rare. Types of frequently occurring literacy information were about letters & words, and literacy functions. These findings were discussed with respect to curricular implications for the classroom.

• Journal of the Korea Society of Computer and Information
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• v.23 no.11
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• pp.75-84
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• 2018

Social engineering attack means to get information of Social engineering attack means to get information of opponent without technical attack or to induce opponent to provide information directly. In particular, social engineering does not approach opponents through technical attacks, so it is difficult to prevent all attacks with high-tech security equipment. Each company plans employee education and social training as a countermeasure to prevent social engineering. However, it is difficult for a security officer to obtain a practical education(training) effect, and it is also difficult to measure it visually. Therefore, to measure the social engineering threat, we use the results of social engineering training result to calculate the risk by system asset and propose a attack graph based probability. The security officer uses the results of social engineering training to analyze the security threats by asset and suggests a framework for quick security response. Through the framework presented in this paper, we measure the qualitative social engineering threats, collect system asset information, and calculate the asset risk to generate probability based attack graphs. As a result, the security officer can graphically monitor the degree of vulnerability of the asset's authority system, asset information and preferences along with social engineering training results. It aims to make it practical for companies to utilize as a key indicator for establishing a systematic security strategy in the enterprise.

• Convergence Security Journal
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• v.24 no.3
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• pp.153-163
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• 2024

Despite the increasing hacking threats and security threats as IT technology advances and many companies adopt security solutions, cyberattacks and threats still persist for years. APT attack is a technique of selecting a specific target and continuing to attack. The threat of an APT attack uses all possible means through the electronic network to perform APT for years. Zero-day attacks, malicious code distribution, and social engineering techniques are performed, and some of them directly invade companies. These techniques have been in effect since 2000, and are similarly used in voice phishing, especially for social engineering techniques. Therefore, it is necessary to study countermeasures against APT attacks. This study analyzes the attack cases of Korean-based APT groups in Korea and suggests the correct method of using intelligence to analyze APT attack groups.

• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.97-106
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• 2021

Social networking platforms have become a smart way for people to interact and meet on internet. It provides a way to keep in touch with friends, families, colleagues, business partners, and many more. Among the various social networking sites, Twitter is one of the fastest-growing sites where users can read the news, share ideas, discuss issues etc. Due to its vast popularity, the accounts of legitimate users are vulnerable to the large number of threats. Spam and Malware are some of the most affecting threats found on Twitter. Therefore, in order to enjoy seamless services it is required to secure Twitter against malicious users by fixing them in advance. Various researches have used many Machine Learning (ML) based approaches to detect spammers on Twitter. This research aims to devise a secure system based on Hybrid Similarity Cosine and Soft Cosine measured in combination with Genetic Algorithm (GA) and Artificial Neural Network (ANN) to secure Twitter network against spammers. The similarity among tweets is determined using Cosine with Soft Cosine which has been applied on the Twitter dataset. GA has been utilized to enhance training with minimum training error by selecting the best suitable features according to the designed fitness function. The tweets have been classified as spammer and non-spammer based on ANN structure along with the voting rule. The True Positive Rate (TPR), False Positive Rate (FPR) and Classification Accuracy are considered as the evaluation parameter to evaluate the performance of system designed in this research. The simulation results reveals that our proposed model outperform the existing state-of-arts.

• Convergence Security Journal
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• v.19 no.4
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• pp.115-121
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• 2019

Recently, as the use of smart devices is becoming more common, various and convenient services are being developed. Among these services, the Social Network Service(SNS) is easily accessible anywhere, anytime. In particular, as well as sharing information, it forms a social relationship in cyberspace to expand new connections, and the SNS account is used as an authentication means of other services to provide users with speed and convenience at all times. However, despite the many advantages of SNS, due to security vulnerabilities occurring in the interworking process with various services, accidents of personal information are constantly occurring, and it is urgent to prepare countermeasures against potential risk factors. It is a necessary situation. Therefore, in this paper, the use of SNS is expected to increase rapidly in the future, and it is expected that it will be used as the basic data for developing the countermeasures by learning the countermeasures according to the security threats of the SNS.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.5
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• pp.19-26
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• 2014

The advent of smart phones brought adverse effect between devices recently. For example, adverse effects of info-communication with advent of computer. Also, hacking threat aiming cyber space that is getting more advanced is spreading in terms of range and danger, so that it reaches the level that the nation has to concern. In this circumstance, crimes involving info-technology is now problem in society. As internet technology advances, it enlarges the range of hacker's threat to not only smart phones, but ships, aircrafts, buildings, and cars. It could be seen as social threat of between human and human, between machine and machine, and between human and machine. This study discuss these problems.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.12
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• pp.2753-2762
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• 2013

Recently the paradigm of cyber attacks is changing due to the information security technology improvement. The cyber attack that uses the social engineering and targets the end users has been increasing as the organization's systems and networks security controls have been tightened. The 91% of APT(Advanced Persistent Threat) which targets an enterprise or a government agency to get the important data and disable the critical service starts with the spear phishing email. In this paper, we analysed the security threats and characteristics of the spear phishing in detail and explained why the technical solutions are not enough to prevent spear phishing attacks. Therefore, we proposed the administrative prevention methods for the spear phishing attack.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.2
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• pp.439-449
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• 2019

The development of information technology represented by ICBMA (IoT, Cloud, Big Data, Mobile, AI), is leading to a surge in data and a numerical and quantitative increase in data centers to accommodate it. As the data center is recognized as a social infrastructure, It is very important to identify physical security threats in advance in order to secure safety, such as responding to a terrorist attack. In this paper, we develop physical security threat breakdown structure (PS-TBS) for easy identification and classification of threats, and verify the feasibility and effectiveness of the PS-TBS through expert questionnaires. In addition, we intend to contribute to the improvement of physical security level by practical use in detailed definition on items of PS-TBS.

• Knowledge Management Research
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• v.17 no.4
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• pp.147-162
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• 2016

Knowledge sharing has many benefits; however, employees are generally reluctant to share their knowledge with co-workers. This reluctance can be attributed to the facts that sharing knowledge involves the threat of losing personal competitiveness and the codification of knowledge for sharing requires additional effort. This study explains why employees engage in knowledge sharing despite the threat and cost of sharing knowledge. Specifically, it examines the effects of the quality of co-worker exchange (CWX) on knowledge sharing and the moderating effect of learning goal orientation on the relationship between CWX and knowledge sharing. Data from 186 individuals indicate that there is a positive relationship between CWX and knowledge sharing, and that this relationship is strengthened when learning goal orientation is low rather than when it is high. The theoretical and practical implications of the findings are also discussed.

• Proceedings of the KSR Conference
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• 2005.11a
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• pp.1-6
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• 2005

To improve safety management of railway and cope with the factors to threat technical and social safety, we need to establish railway safety management system based on analysis of hazards and assessment of risk for railway system. So we have to conduct PHA(Preliminary Hazard Analysis) first to understand weak points and factors to possibly threat safety using analysis of related data such as past accident/incident data and safety regulation and classification standards of hazards/causes of railway accidents. Therefore in this research, we led types/dangerous events/causes of risks/factors of risks from hazard log developed based on railway accident classification and hazards of railway accident. PHA model for domestic railway system will be used in risk analysis and risk assessment of railway accident.