• Journal of Information Processing Systems
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• v.14 no.6
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• pp.1431-1437
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• 2018

Securing objects in the Internet of Things (IoT) is essential. Authentication model is one candidate to secure an object, but it is only limited to handle a specific type of attack such as Sybil attack. The authentication model cannot handle other types of attack such as trust-based attacks. This paper proposed two-phase security protection for objects in IoT. The proposed method combined authentication and statistical models. The results showed that the proposed method could handle other attacks in addition to Sybil attacks, such as bad-mouthing attack, good-mouthing attack, and ballot stuffing attack.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1245-1255
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• 2015

As cloud computing services become popular, the concern on the data security of cloud services increases and the efforts for the data security become essential. In this paper, we describe the pros and cons of cloud computing including the definition of cloud. Then, we discuss the regulations about the protection of user data defined in cloud promotion act. Previous studies related to the privacy protection and the entrustment of personal information in cloud computing are reviewed. We examine how to store the personal information depending on the cloud service model. As a result, we argue that the entrustment of personal information should vary according to the cloud service model and we propose how to protect the personal information on IaaS and SaaS cloud service models.

• Journal of Intelligence and Information Systems
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• v.26 no.3
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• pp.37-50
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• 2020

Information security has become an important issue in the world. Various information and communication technologies, such as the Internet of Things, big data, cloud, and artificial intelligence, are developing, and the need for information security is increasing. Although the necessity of information security is expanding according to the development of information and communication technology, interest in information security investment is insufficient. In general, measuring the effect of information security investment is difficult, so appropriate investment is not being practice, and organizations are decreasing their information security investment. In addition, since the types and specification of information security measures are diverse, it is difficult to compare and evaluate the information security countermeasures objectively, and there is a lack of decision-making methods about information security investment. To develop the organization, policies and decisions related to information security are essential, and measuring the effect of information security investment is necessary. Therefore, this study proposes a method of constructing an investment portfolio for information security measures using game theory and derives an optimal defence probability. Using the two-person game model, the information security manager and the attacker are assumed to be the game players, and the information security countermeasures and information security threats are assumed as the strategy of the players, respectively. A zero-sum game that the sum of the players' payoffs is zero is assumed, and we derive a solution of a mixed strategy game in which a strategy is selected according to probability distribution among strategies. In the real world, there are various types of information security threats exist, so multiple information security measures should be considered to maintain the appropriate information security level of information systems. We assume that the defence ratio of the information security countermeasures is known, and we derive the optimal solution of the mixed strategy game using linear programming. The contributions of this study are as follows. First, we conduct analysis using real performance data of information security measures. Information security managers of organizations can use the methodology suggested in this study to make practical decisions when establishing investment portfolio for information security countermeasures. Second, the investment weight of information security countermeasures is derived. Since we derive the weight of each information security measure, not just whether or not information security measures have been invested, it is easy to construct an information security investment portfolio in a situation where investment decisions need to be made in consideration of a number of information security countermeasures. Finally, it is possible to find the optimal defence probability after constructing an investment portfolio of information security countermeasures. The information security managers of organizations can measure the specific investment effect by drawing out information security countermeasures that fit the organization's information security investment budget. Also, numerical examples are presented and computational results are analyzed. Based on the performance of various information security countermeasures: Firewall, IPS, and Antivirus, data related to information security measures are collected to construct a portfolio of information security countermeasures. The defence ratio of the information security countermeasures is created using a uniform distribution, and a coverage of performance is derived based on the report of each information security countermeasure. According to numerical examples that considered Firewall, IPS, and Antivirus as information security countermeasures, the investment weights of Firewall, IPS, and Antivirus are optimized to 60.74%, 39.26%, and 0%, respectively. The result shows that the defence probability of the organization is maximized to 83.87%. When the methodology and examples of this study are used in practice, information security managers can consider various types of information security measures, and the appropriate investment level of each measure can be reflected in the organization's budget.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.1
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• pp.213-219
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• 2011

Due to the rapid growth of smartphone market, the security threats are also increased. One of the smartphone security threats is that w1Verified applications are distributed on the smartphone market. In the case of Andoroid market, Google have no Application Approval Process that can detect malicious android application so many malicious android applications are distributed in the Android market. To reduce this security threat, it is essential the skill to detect the malicious activities of application. In this paper, we propose the android application analysis method for malicious activity detection and we introduce the implementation of our method which can automatically analyze the android application.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.3
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• pp.615-619
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• 2012

Reverse engineering via static analysis is an essential step in software security and it focuses on reconstructing code structures and data abstractions. In particular, reverse engineering of data abstractions is critical to understand software but the previous scheme, VSA, is not suitable for applying to fragmented binaries. This paper proposes an enhanced method through dynamic region assignment.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.191-198
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• 2022

With the ever-increasing frequency of public sector and smalls-cale industries going live on the internet in developing countries, their security of which, while crucial, is often overlooked in most cases. This is especially true in Government services, whilst essential, are poorly monitored if at all. This is due to lack of funds and personnel. Most available software which can help these organizations monitor their services are either expensive or very outdated. Thus, there is a need for any developing country to develop a networking monitoring system. However, developing a network monitoring system is still a challenge and expensive and out sourcing network monitoring system to third party is a security threat. Therefore, in this article we propose a method to anonymize network logs and outsource networking monitoring system to third-party without breach in integrity of their network logs.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.2
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• pp.457-465
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• 2015

Internet of Things(IoT) technologies should be able to communication with various embedded platforms. We will need to select an appropriate cryptographic algorithm in various embedded environments because we should consider security elements in IoT communications. Therefore the lightweight block cryptographic algorithm is essential for secure communication between these kinds of embedded platforms. However, the lightweight block cryptographic algorithm has a vulnerability which can be leaked in side channel analysis. Thus we also have to consider side channel countermeasure. In this paper, we will propose the scenario of side channel analysis and confirm the vulnerability for HIGHT algorithm which is composed of ARX structure. Additionally, we will suggest countermeasure for HIGHT against side channel analysis. Finally, we will explain how much the effectiveness can be provided through comparison between countermeasure for AES and HIGHT.

• Convergence Security Journal
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• v.20 no.4
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• pp.187-196
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• 2020

In order to manage information security risk, various information security level evaluation and information security management system certification have been conducted on a larger scale than ever. However, there are continuous cases of infringement of information protection for companies with excellent information security evaluation and companies with excellent information security management system certification. The existing information security risk management methodology identifies and analyzes risks by identifying information assets inside the information system. Existing information security risk management methodology lacks a review of where cyber threats come from and whether security devices are properly operated for each route. In order to improve the current risk management plan, it is necessary to look at where cyber threats come from and improve the containment level for each inflow section to absolutely reduce unnecessary cyber threats. In addition, it is essential to measure and improve the appropriate configuration and operational level of security equipment that is currently overlooked in the risk management methodology. It is necessary to block and enter cyber threats as much as possible, and to detect and respond to cyber threats that inevitably pass through open niches and use security devices. Therefore, this paper proposes additional evaluation items for evaluating the containment level against cyber threats in the ISMS-P authentication items and vulnerability analysis and evaluation items for major information and communication infrastructures, and evaluates the level of security equipment configuration for each inflow.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.10
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• pp.3333-3354
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• 2022

The 5G Core Network (5GC) is an essential part of the mobile communication network, but its security protection strategy based on the boundary construction is difficult to ensure the security inside the network. For example, the Network Function (NF) mutual authentication mechanism that relies on the transport layer security mechanism and OAuth2.0's Client Credentials cannot identify the hijacked NF. To address this problem, this paper proposes a trust model for 5GC based on NF interaction behavior to identify malicious NFs and improve the inherent security of 5GC. First, based on the interaction behavior and context awareness of NF, the trust between NFs is quantified through the frequency ratio of interaction behavior and the success rate of interaction behavior. Second, introduce trust transmit to make NF comprehensively refer to the trust evaluation results of other NFs. Last, classify the possible malicious behavior of NF and define the corresponding punishment mechanism. The experimental results show that the trust value of NFs converges to stable values, and the proposed trust model can effectively evaluate the trustworthiness of NFs and quickly and accurately identify different types of malicious NFs.

• Information Systems Review
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• v.12 no.1
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• pp.23-42
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• 2010

Although organizations are given various benefits with information technologies, they sometimes have suffered fatal damages due to information security incidents now such as computer virus, hacking, counterfeiting, plagiarizing, etc. The fundamentalcauses of information security incidents are closely related to individuals who do not comply with information security policy or rules. The spontaneous self-control of individuals and monitoring for individuals could be the most essential solution for the ongoing observance of information security policy. Thus, the purpose of this study is to analyze effects of punishment and ethics training on compliance of information security policy of individuals in organizations, to determine individual divide among security propensity depending on organization types, and to find the more fundamental solution which leads change of organizational members’ behaviors and self-control. Regardless of the type of organizations, the results of the study suggest that there exist positive effects of punishment and ethics training in all types of organization on compliance of information security rules or regulations. A member of unitary form organization has higher cognition of punishment than a member's cognition of the multi-divisional form organization, while relatively lower awareness of ethics training. Also, a member of public organization has higher awareness of ethics training than a member’s awareness of private organization, while lower cognition of punishment. Finally, the result shows that punishment and ethics training may be major factors which affect information security. It also suggests that organizational security managers have to understand and consider organization member’s propensity relying on organization form and organization characteristics for establishment and enforcement of information security policy.