• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.28 no.1
• /
• pp.135-143
• /
• 2018

Sony has recently launched a remote play service that connects PC and PlayStation4 using the Internet. This service enables the network connection between the external network and PS4 network. After the service released, additional security threats may arise in remote environments with new services. Therefore, those threats should have been analyzed. In this paper, as applying threat modeling to remote play system, threats have been analyzed and identified. After cost-effective and usability analysis, finally, reasonable security measure of each threat has been suggested.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.29 no.3
• /
• pp.657-673
• /
• 2019

As various IT and OT systems such as Electronic Chart Display and Information System and Automatic Identification System are used for ships, security elements that take into account even the ship's construction and navigation environment are required. However, cyber security research on the ship and shipbuilding ICT equipment industries is still lacking, and there is a lack of systematic methodologies through threat modeling. In this paper, the Data Flow Diagram was established in consideration of stakeholders approaching the ship system. Based on the Attack Library, which collects the security vulnerabilities and cases of ship systems, STRIDE methodologies and threat modeling using the Attack Tree are designed to identify possible threats from ships and to present ship cyber security measures.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.27 no.6
• /
• pp.1441-1455
• /
• 2017

In order to build a secure electric vehicle charging infrastructure, security research is required because various data including charging and payment data are transmitted in the electric vehicle charging infrastructure. However, previous researches have focused on smart grid related security research such as power system infrastructure rather than charging infrastructure for electric vehicle charging. In addition, research on charging infrastructure is still lacking, and research using a systematic methodology such as threat modeling is not yet under way. Therefore, it is necessary to apply threat modeling to identify security threats and systematically analyze security requirements to build a secure electric vehicle charging infrastructure. In this paper, we analyze the electric vehicle charging infrastructure by accurately identifying possible threats and deriving objective security requirements using threat modeling including Data Flow Diagram, STRIDE, and Attack Tree.

• The Transactions of the Korean Institute of Electrical Engineers P
• /
• v.66 no.2
• /
• pp.76-81
• /
• 2017

In this paper, the risk analysis of smart home services was implemented by applying threat modeling. Identified possible threats for safe deployment of smart home services and identified threats through the STRIDE model. Through the creation of the Attack Tree, the attackable risk was analyzed and the risk was measured by applying the DREAD model. The derived results can be used to protect assets and mitigate risk by preventing security vulnerabilities from compromising and identifying threats from adversely affecting services. In addition, the modeled result of the derived threat can be utilized as a basis for performing the security check of the smart home service.

• Journal of Information Science Theory and Practice
• /
• v.7 no.1
• /
• pp.52-71
• /
• 2019

An insider threat is a threat that comes from people within the organization being attacked. It can be described as a function of the motivation, opportunity, and capability of the insider. Compared to managing the dimensions of opportunity and capability, assessing one's motivation in committing malicious acts poses more challenges to organizations because it usually involves a more obtrusive process of psychological examination. The existing body of research in psycholinguistics suggests that automated text analysis of electronic communications can be an alternative for predicting and detecting insider threat through unobtrusive behavior monitoring. However, a major challenge in employing this approach is that it is difficult to minimize the risk of missing any potential threat while maintaining an acceptable false alarm rate. To deal with the trade-off between the risk of missed catches and the false alarm rate, we propose a unified psycholinguistic framework that consolidates multiple text analyzers to carry out sentiment analysis, emotion analysis, and topic modeling on electronic communications for unobtrusive psychological assessment. The user scenarios presented in this paper demonstrated how the trade-off issue can be attenuated with different text analyzers working collaboratively to provide more comprehensive summaries of users' psychological states.

• KIPS Transactions on Computer and Communication Systems
• /
• v.10 no.5
• /
• pp.145-154
• /
• 2021

Recently, the introduction of Cloud Managing Security Services System to respond to security threats in cloud computing environments is increasing. Accordingly, it is necessary to analyze the security requirements for the Cloud Managing Security Services System. However, the existing research has a problem that does not reflect the virtual environment of the cloud and the data flow of the Cloud Managing Security Services System in the process of deriving the requirements. To solve this problem, it is necessary to identify the information assets of the Cloud Managing Security Services System in the process of threat modeling analysis, visualize and display detailed components of the cloud virtual environment, and analyze the security threat by reflecting the data flow. Therefore, this paper intends to derive the security requirements of the Cloud Managing Security Services System through threat modeling analysis that is an improved existing research.

• Journal of Internet Computing and Services
• /
• v.22 no.3
• /
• pp.53-58
• /
• 2021

There is little research on actual business activities in the field of security control. Therefore, in this paper, we intend to present a practical research methodology that can contribute to the calculation of the size of the appropriate input personnel through the modeling of the threat information detection response time of the security control and to analyze the effectiveness of the latest security solutions. The total threat information detection response time performed by the security control center is defined as TIDRT (Total Intelligence Detection & Response Time). The total threat information detection response time (TIDRT) is composed of the sum of the internal intelligence detection & response time (IIDRT) and the external intelligence detection & response time (EIDRT). The internal threat information detection response time (IIDRT) can be calculated as the sum of the five steps required. The ultimate goal of this study is to model the major business activities of the security control center with an equation to calculate the cyber threat information detection response time calculation formula of the security control center. In Chapter 2, previous studies are examined, and in Chapter 3, the calculation formula of the total threat information detection response time is modeled. Chapter 4 concludes with a conclusion.

• Journal of Internet Computing and Services
• /
• v.23 no.6
• /
• pp.27-37
• /
• 2022

Virtual private network (VPN) services are used in various environments related to national security, such as defense companies and defense-related institutions where digital communication environment technologies are diversified and access to network use is increasing. However, the number of cyber attacks that target vulnerable points of the VPN has annually increased through technological advancement. Thus, this study identified security requirements by performing STRIDE threat modeling to prevent potential and new vulnerable points that can occur in the VPN. STRIDE threat modeling classifies threats into six categories to systematically identify threats. To apply the proposed security requirements, this study analyzed functions of the VPN and formed a data flow diagram in the VPN service process. Then, it collected threats that can take place in the VPN and analyzed the STRIDE threat model based on data of the collected threats. The data flow diagram in the VPN service process, which was established by this study, included 96 STRIDE threats. This study formed a threat scenario to analyze attack routes of the classified threats and derived 30 security requirements for each element of the VPN based on the formed scenario. This study has significance in that it presented a security guideline for enhancing security stability of the VPN used in facilities that require high-level security, such as the Ministry of National Defense (MND).

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.27 no.1
• /
• pp.115-128
• /
• 2017

The methods of electronic financial fraud continue to evolve. Various research and countermeasures have been proposed to counter this problem, but it is difficult to eradicate it. The purpose of this study is to analyze the risk of electronic financial fraud through MS Threat Risk Modeling and to propose the countermeasures against the electronic financial fraud. As a result of the analysis, it is confirmed that despite the difference of authentication methods, there is a high risk of pharming, and it is difficult to prevent attack by using only additional authentication means, device security or user authentication based security system. Therefore, this study suggests the introduction of preventive measures such as readjustment of transaction limit by security means, account authentication, and additional physical security measures. It also suggests the establishment and implementation of a comprehensive electronic financial fraud prevention policy through linkage of electronic fraud prevention system and improvement of public relations and user awareness.

• KIPS Transactions on Computer and Communication Systems
• /
• v.5 no.8
• /
• pp.197-210
• /
• 2016

Lately smartphone uasage is increasing and many Internet of Things (IoT) devices support wireless communications. Accordingly, small base stations which called femtocells are supplied to prevent saturation of existing base stations. However, unlike the original purpose of the femtocell with the advanced hacking technologies, Vulnerability such as gaining the administrator authority was discovered and this can cause serious problems such as the leakage of personal information of femtocell user. Therefore, identify security threats that may occur in the femtocell and it is necessary to ways for systematic vulnerability analysis. In this paper, We analyzed the security threats that can be generated in the femtocell and constructed a checklist for vulnerability analysis using the Threat Modeling method. Then, using the constructed checklist provides a scheme that can improve the safety of the femto cell through the actual analysis and taken the results of the femtocell vulnerabilities analysis.