• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권5호
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• pp.2236-2257
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• 2020

Ransomware is malicious software that encrypts the user-related files and data and holds them to ransom. Such attacks have become one of the serious threats to cyberspace. The avoidance techniques that ransomware employs such as obfuscation and/or packing makes it difficult to analyze such programs statically. Although many ransomware detection studies have been conducted, they are limited to a small portion of the attack's characteristics. To this end, this paper proposed a framework for the behavioral-based dynamic analysis of high survivable ransomware (HSR) with integrated valuable feature sets. Term Frequency-Inverse document frequency (TF-IDF) was employed to select the most useful features from the analyzed samples. Support Vector Machine (SVM) and Artificial Neural Network (ANN) were utilized to develop and implement a machine learning-based detection model able to recognize certain behavioral traits of high survivable ransomware attacks. Experimental evaluation indicates that the proposed framework achieved an area under the ROC curve of 0.987 and a few false positive rates 0.007. The experimental results indicate that the proposed framework can detect high survivable ransomware in the early stage accurately.

• 한국IT서비스학회지
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• 제17권3호
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• pp.101-115
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• 2018

In order to promote the IT business efficiently, the Preliminary Feasibility Study has been conducted since 2004. It is to verify the feasibility of a large-scale IT project in advance and to determine whether to reflect the budget. It is more difficult to analyze the benefits of the IT project than other projects, because the IT project is carried out by combining tangible and intangible assets and human resources. For this reason, the Standard Guideline for Preliminary Feasibility Study in the IT field suggests a framework to support in estimating the benefits of the IT project. However, it includes the following problems : 1) level discrepancy among the benefit categories, 2) lack of types of benefit items, 3) no consideration of benefit inducing factors. So the framework is facing a low utilization. This study develops a new framework through a three-step research process. The new framework can be used not only for preliminary feasibility studies but also for estimating the benefits of general IT projects.

• KIEE International Transactions on Power Engineering
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• 제4A권2호
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• pp.73-78
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• 2004

This paper proposes a framework for determining the minimum load shedding for restoring solvability. The framework includes a continuation power flow (CPF) and an optimal power flow (OPF). The CPF parameterizes a specified outage from a set of multiple contingencies causing unsolvable cases, and it traces the path of solutions with respect to the parameter variation. At the nose point of the path, sensitivity analysis is performed in order to achieve the most effective control location for load shedding. Using the control location information, the OPF for locating the minimum load shedding is executed in order to restore power flow solvability. It is highlighted that the framework systematically determines control locations and the proper amount of load shedding. In a numerical simulation, an illustrative example of the proposed framework is shown by applying it to the New England 39 bus system.

• 인터넷정보학회논문지
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• 제24권4호
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• pp.37-45
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• 2023

Adaptive has gained significant attention in Education Technology (EdTech), with personalized learning experiences becoming increasingly important. Next-generation chatbots, including models like ChatGPT, are emerging in the field of education. These advanced tools show great potential for delivering personalized and adaptive learning experiences. This paper reviews previous research on adaptive learning and the role of chatbots in education. Based on this, the paper explores current and future chatbot technologies to propose a framework for using ChatGPT or similar chatbots in adaptive learning. The framework includes personalized design, targeted resources and feedback, multi-turn dialogue models, reinforcement learning, and fine-tuning. The proposed framework also considers learning attributes such as age, gender, cognitive ability, prior knowledge, pacing, level of questions, interaction strategies, and learner control. However, the proposed framework has yet to be evaluated for its usability or effectiveness in practice, and the applicability of the framework may vary depending on the specific field of study. Through proposing this framework, we hope to encourage learners to more actively leverage current technologies, and likewise, inspire educators to integrate these technologies more proactively into their curricula. Future research should evaluate the proposed framework through actual implementation and explore how it can be adapted to different domains of study to provide a more comprehensive understanding of its potential applications in adaptive learning.

• 정보처리학회논문지C
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• 제10C권1호
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• pp.1-10
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• 2003

본 논문에서는 취약점 검색공격 탐지시스템 DS-NVSA(Detection System of Network Vulnerability Scan Attacks)에서 서버와 에이전트들 사이의 상호연동을 위한 안전한 통신 프레임워크를 제안한다. 기존 시스템과의 상호연동을 위하여 제안 프레임워크는 IETF의 IDWG에서 제안한 IDMEF와 IAP를 확장 적용하였다. 또한 공개키 기반의 환경을 지원하지 못하는 네트워크 시스템을 위해 대칭키 기반의 암호화 통신 프로토콜 SKTLS(Symmetric Key based Transport Layer Security Protocol)를 제시하였다. 제안된 프레임워크는 DS-NVSA 이외에도 기존의 이기종 침입탐지 시스템의 제사용과 탐지 영역의 확대를 제공하며, 또한 기업내 통합 보안환경시스템 ESM(Enterprise Security Management) 시스템에도 적용될 수 있다.

• 대한조선학회논문집
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• 제46권2호
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• pp.189-202
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• 2009

As naval ships become more complex with the reduced cost and time for their development, modeling and simulation are increasingly used. The US navy has being applied the concept of a simulation-based acquisition(SBA) to their acquisition process. However, there have been few studies on a simulation-based acquisition for naval ships (SBA-NS) in the Korean naval shipbuilding. In this paper, we discuss a framework to establish collaborative environment(CE) for an advanced naval ships acquisition based on PLM. For this, we propose architectures and a naval ship information model for design the framework of the SBA-NS. To design the framework, we develop the methodology that is composed of three major processes that are the requirement analysis process, the SBA-NS architectures design process and the design process of a reference model of a naval ship product information. Applying the methodology, the framework suitable for the Korean Navy context is developed.

• Journal of Information Science Theory and Practice
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• 제8권3호
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• pp.30-46
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• 2020

This research aimed (1) to study and analyze the ability of current information retrieval (IR) systems based on views of information behavior (IB), and (2) to propose a conceptual framework for an IB model based on the collaboration between the system and user, with the intent of developing an IR system that can apply intelligent techniques to enhance system efficiency. The methods in this study consisted of (1) document analysis which included studying the characteristics and efficiencies of the current IR systems and studying the IB models in the digital environment, and (2) implementation of the Delphi technique through an indepth interview method with experts. The research results were presented in three main parts. First, the IB model was categorized into eight stages, different from traditional IB, in the digital environment, which can correspond to all behaviors and be applied to with an IR system. Second, insufficient functions and log file storage hinder the system from effectively understanding and accommodating user behavior in the digital environment. Last, the proposed conceptual framework illustrated that there are stages that can add intelligent techniques to the IR system based on the collaboration perspective between the user and system to boost the users' cognitive ability and make the IR system more user-friendly. Importantly, the conceptual framework for the IB model based on the collaboration perspective between the user and system for IR assisted the ability of information systems to learn, recognize, and comprehend human IB according to individual characteristics, leading to enhancement of interaction between the system and users.

• Journal of Information Science Theory and Practice
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• 제4권4호
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• pp.4-15
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• 2016

Information needs of users have been examined both generally and as they pertain to particular types and formats of information. Barriers to information have also been investigated, including those which are situational and also across certain domains and socioeconomic contexts. Unified studies concerning both information needs and barriers are needed. Both are likely always present in any given interactive search situation; further, users' attempts to satisfy their own individualized information needs will likely encounter barriers of some sort. The present study employed a survey method to collect users' perceptions of video information needs and barriers as part of recent video search situations. Findings from this analysis establish a unified framework, based on the themes emerging directly from the responses of users, and present the suitability and benefit for informing future designs and evaluations of user-centered interactive retrieval tools.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권9호
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• pp.2154-2172
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• 2013

A centralized cognitive radio (CR) network is proposed and its system capacity is studied. The CR network is designed with power control and multi-user scheduling schemes to support best-effort traffics under peak interference power constraints. We provide an analytical framework to quantify its system capacity, taking into account various key factors such as interference constraints, density of primary users, cell radius, the number of CR users, and propagations effects. Furthermore, closed-form formulas are derived for its capacities when only path loss is considered in the channel model. Semi-analytical expressions for the capacities are also given when more realistic channel models that include path loss, shadowing, and small-scale fading are used. The accuracy of the proposed analytical framework is validated by Monte Carlo simulations. Illustrated with a practical example, the provided analytical framework is shown to be useful for the strategic planning of centralized CR networks.

• 한국산업정보학회논문지
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• 제10권3호
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• pp.38-47
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• 2005

공급망을 효율적으로 관리하기 위해서는 공급망의 특성과 구조에 대한 이해가 선행되어야 하는데, 이를 위해서는 공급망을 분석할 수 있는 프레임워크가 필요하다. 본 논문에서는 공급망을 관계유형의 관점에서 분석할 수 있는 프레임워크를 제시하고 있다. 이러한 프레임워크를 토대로 공급망 관계 유형을 분석함으로써 공급망 상에 놓여있는 각 주체들의 공급망 수준을 파악할 수 있다. 본 논문에서는 이러한 프레임워크를 항만물류산업에 적용함으로써 우리나라 항만물류산업의 공급망 수준이 어느 정도인지 파악하고 앞으로 발전적인 공급망을 형성하기 위해 고려해야 할 사항들을 도출하였다.