• Title/Summary/Keyword: Knowledge-Based Model

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Cyber Kill Chain-Based Taxonomy of Advanced Persistent Threat Actors: Analogy of Tactics, Techniques, and Procedures

  • Bahrami, Pooneh Nikkhah;Dehghantanha, Ali;Dargahi, Tooska;Parizi, Reza M.;Choo, Kim-Kwang Raymond;Javadi, Hamid H.S.
    • Journal of Information Processing Systems
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    • v.15 no.4
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    • pp.865-889
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    • 2019
  • The need for cyber resilience is increasingly important in our technology-dependent society where computing devices and data have been, and will continue to be, the target of cyber-attackers, particularly advanced persistent threat (APT) and nation-state/sponsored actors. APT and nation-state/sponsored actors tend to be more sophisticated, having access to significantly more resources and time to facilitate their attacks, which in most cases are not financially driven (unlike typical cyber-criminals). For example, such threat actors often utilize a broad range of attack vectors, cyber and/or physical, and constantly evolve their attack tactics. Thus, having up-to-date and detailed information of APT's tactics, techniques, and procedures (TTPs) facilitates the design of effective defense strategies as the focus of this paper. Specifically, we posit the importance of taxonomies in categorizing cyber-attacks. Note, however, that existing information about APT attack campaigns is fragmented across practitioner, government (including intelligence/classified), and academic publications, and existing taxonomies generally have a narrow scope (e.g., to a limited number of APT campaigns). Therefore, in this paper, we leverage the Cyber Kill Chain (CKC) model to "decompose" any complex attack and identify the relevant characteristics of such attacks. We then comprehensively analyze more than 40 APT campaigns disclosed before 2018 to build our taxonomy. Such taxonomy can facilitate incident response and cyber threat hunting by aiding in understanding of the potential attacks to organizations as well as which attacks may surface. In addition, the taxonomy can allow national security and intelligence agencies and businesses to share their analysis of ongoing, sensitive APT campaigns without the need to disclose detailed information about the campaigns. It can also notify future security policies and mitigation strategy formulation.

A Study of Factors Affecting on the Intention for Continuous Uses of ERP System (ERP 시스템 사용자의 지속사용의도에 미치는 요인)

  • Lee, Seong-Hyo;Kim, Kyung-Ihl;Park, Ji-Young
    • Journal of Convergence for Information Technology
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    • v.9 no.4
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    • pp.21-27
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    • 2019
  • The ERP System is used as a useful tool for corporate management. The ERP system needs to be researched for continued use, taking into account the mandatory acceptance environment. This study was validated through AMOS 18 by setting up a model that adds variables in the mandatory acceptance environment based on prior studies on factors affecting the intended use of ERP system. Analysis shows that the intended use of ERP system users is significantly influenced by user satisfaction and objective usefulness, and that user satisfaction and objective usefulness are significantly affected by the quality of service quality of service. This study suggests that it is important to make users to feel the usefulness and satisfaction of the system through user's prior knowledge and participation. It also says that there is a need to maintain service quality.

A Study on the Experience of Conflict Management Situation Learning Through Mock Court for Civil Servants (공무원 대상 모의법정을 통한 갈등관리 상황학습 경험에 관한 연구)

  • Han, Sang-Mi;Park, Se-Hwan
    • The Journal of the Korea Contents Association
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    • v.21 no.3
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    • pp.400-409
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    • 2021
  • Training, unlike education in holistic perspective, not only affects individual's potential of work competencies such as knowledge and technology, but also affects the job performance in organizational perspective. The effectiveness of training for civil servants who participated in mock jury trial learning of Suwon-si was verified using CIPP model. Participants valued the significance of the process of training rather than the conclusion that draws a certain solution, and based on the comparison and analysis of pre·post evaluations, the educational effect of mock trial training and its utilization at work in the future was higher than before the training, proving its effectiveness. In terms of the implications of training programs in addition to the program planner's evaluation, participant constitution in consideration of sex or employment period is needed for learning interaction among various learners, and information acquisition training on various local issues and conflict situations, as well as the combination of deliberation learning, are needed. in addition, it may be supplemented through customized conflict management raining related to pending projects for the effectiveness of training.

A Study on the Methods of Communication Education based on 'Empathy'; for Example <(500) Days of Summer> ('공감'을 기반으로 한 의사소통교육 방법 모색 ; 영화 <500일의 섬머>를 예로)

  • Kim, Kyung Ae
    • Journal of Digital Convergence
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    • v.19 no.3
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    • pp.279-285
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    • 2021
  • This paper criticized that online classes during the Covid-19 period were centered on knowledge and information education, and sought ways to improve empathy as a way to improve students' sociality. The teaching-learning process was designed around the movie <(500) Days of Summer> which has the theme and story of parting and growth. On this paper the stage of empathy was divided into three stages, recognize-into, feeling-into, emotional-transaction stage. In particular, considering the process of transitioning from emotional empathy to behavioral empathy as the key to communication education, the class was designed in five stages, with an expression stage between the feeling-into stage and the emotional-transaction stage. This course is possible when learners sympathize with the work itself and reflect on their own narrative, so literary therapeutic was used, and students's response statements were collected to prove that this process is meaningful for improving empathy. In this article, the class was designed for the movie <(500) Days of Summer>, but this teaching-learning model can be applied to other contemporary film texts.

Study on Justification of the Legislation of Multimedia -Literacy Education to Solve Side Effects of Improving Social Functions of SNS in the knowledge Information Society (Based on Ajzen's Theory of Planned Behavior) (지식정보화사회에서 SNS의 사회적 기능 향상에 따른 부작용 해결방안을 위한 멀티미디어 -리터러시 교육 법제화의 당위성에 관한 연구(Ajzen의 계획된 행위 이론을 기반으로))

  • Shin, Seungyong
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.3
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    • pp.89-94
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    • 2021
  • Recently, the boundaries between people who produce and consume digital contents disappears due to the massive developments in information and communications technology (ICT) and the rapidly increasing spread of smartphones unlike in the traditional mass media (e.g., newspapers, radios, and TVs). Through the open service platform, the problem perception for each individual remains the same, but the problem solving methods varies as the service types have been diversified. The creation of added value through the growth of the new media platform industry is expected to enrich our lives, but it can also cause severe social side effects. For example, communication problems between social classes due to the information gap have led to generational conflict, and if such problems persist, it can cause national and social losses. Therefore, this paper analyzes the policy efforts to resolve the information gap and the necessity of the legalization of multimedia literary education to maximize the synergy effect through psychological model.

A Study on the Educational Effect of the History of Fashion and Costume through a Comparison of General Lecture and IC-PBL(Industry-coupled Problem-based Learning) (일반 수업과 IC-PBL 적용 수업의 비교를 통한 패션복 식사의 교육 효과 연구)

  • Jung, Yeonyi;Lee, Youngjae
    • Journal of Fashion Business
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    • v.25 no.2
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    • pp.98-109
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    • 2021
  • The purpose of this study was to present the case of class operation by paralleling a general instructor's lecture class and a IC-PBL class in a fashion design major course and comparing the educational effects. The teaching model of this study was designed to improve the ability to use the knowledge gained in accordance with the needs of the industrial field and to develop an independent learning ability. It will provide meaningful data. This study measured and considered the qualitative items of self-efficacy and changes in class perception through interviews and questionnaires completed by the learners after experiencing each general class and IC-PBL class. The results of this study are, first, that in the History of Fashion and Costume class, the general teaching method and the IC-PBL teaching method were applied in parallel to design a class, and a method case was presented. Second, as a result of comparing the educational effects of the two teaching methods through a student questionnaire, IC-PBL was more effective in improving learning attitude, learning achievement and self-efficacy. In addition, after the IC-PBL class on History of Fashion and Costume, the students' negative perception of team activities improved, and the students' cooperative ability and creativity improved.

Bioimage Analyses Using Artificial Intelligence and Future Ecological Research and Education Prospects: A Case Study of the Cichlid Fishes from Lake Malawi Using Deep Learning

  • Joo, Deokjin;You, Jungmin;Won, Yong-Jin
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • v.3 no.2
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    • pp.67-72
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    • 2022
  • Ecological research relies on the interpretation of large amounts of visual data obtained from extensive wildlife surveys, but such large-scale image interpretation is costly and time-consuming. Using an artificial intelligence (AI) machine learning model, especially convolution neural networks (CNN), it is possible to streamline these manual tasks on image information and to protect wildlife and record and predict behavior. Ecological research using deep-learning-based object recognition technology includes various research purposes such as identifying, detecting, and identifying species of wild animals, and identification of the location of poachers in real-time. These advances in the application of AI technology can enable efficient management of endangered wildlife, animal detection in various environments, and real-time analysis of image information collected by unmanned aerial vehicles. Furthermore, the need for school education and social use on biodiversity and environmental issues using AI is raised. School education and citizen science related to ecological activities using AI technology can enhance environmental awareness, and strengthen more knowledge and problem-solving skills in science and research processes. Under these prospects, in this paper, we compare the results of our early 2013 study, which automatically identified African cichlid fish species using photographic data of them, with the results of reanalysis by CNN deep learning method. By using PyTorch and PyTorch Lightning frameworks, we achieve an accuracy of 82.54% and an F1-score of 0.77 with minimal programming and data preprocessing effort. This is a significant improvement over the previous our machine learning methods, which required heavy feature engineering costs and had 78% accuracy.

The Role of Digital Literacy and IS Success Factors Influencing on Distance Learners' Satisfaction and Continuance (디지털 리터러시와 정보시스템 성공요인이 원격학습자의 만족도와 지속 사용 의도에 미치는 영향)

  • Kim, Yong-Young;Joo, Yeon-Woo;Park, Hye-Jin
    • Journal of Digital Convergence
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    • v.19 no.11
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    • pp.53-62
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    • 2021
  • Distance learning (DL) has become a major issue in the educational field with the spread of COVID-19. In order to enhance the satisfaction of DL learners, efforts to cultivate learners' competencies, as well as investment to build IT infrastructure, and activities to support high-quality content provision should be comprehensively considered. Based on a survey of 221 college students, this study verified that digital literacy (knowledge, skill, and mind) and information systems success factors (system, information, and service quality) all positively affect DL satisfaction, in turn, which positively influences on DL continuance. This study is meaningful in that it comprehensively considered learner's ability and IT infrastructure and analyzed the effect on the satisfaction and intention of continuous use of DL. In the future, it is necessary to expand the target of not only college students but also elementary and secondary students and instructors, and to further consider interaction, which is a major factor in the distance learning process.

Visual design teacher competency evaluation model study (시각디자인 교사역량 평가 모델 연구)

  • SUN, PENG
    • Journal of the International Relations & Interdisciplinary Education
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    • v.2 no.1
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    • pp.29-41
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    • 2022
  • In recent years, visual design has become an emerging industry that creates production value in various countries, and visual design teachers have become a key factor affecting the development of designers and even the trend of the design industry. Therefore, the requirements for the ability of visual design teachers have become particularly important. This study takes the visual communication teachers in colleges and universities as the research object. Focus on the composition of competencies that teachers have when performing their duties. First of all, through document sorting, it is based on the five aspects of knowledge ability, teaching ability, practical ability, management ability and professional ethics. A Likert scale questionnaire was developed on the evaluation of visual design teachers' competencies by interviewing 10 visual design industry experts and conducting two Delphi method interviews. This research refers to the relevant literatures such as curriculum research and teaching objective research of design major, and discusses the evaluation standards of visual design teachers' abilities in colleges and universities. Expert interviews have sorted out 12 criteria and 36 sub-criteria about visual design teachers' abilities, and verified their rationality through expert return visits. The establishment of this evaluation standard provides a certain theoretical basis for visual design teachers' ability evaluation and self-cognition.

Multi-modal Representation Learning for Classification of Imported Goods (수입물품의 품목 분류를 위한 멀티모달 표현 학습)

  • Apgil Lee;Keunho Choi;Gunwoo Kim
    • Journal of Intelligence and Information Systems
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    • v.29 no.1
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    • pp.203-214
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    • 2023
  • The Korea Customs Service is efficiently handling business with an electronic customs system that can effectively handle one-stop business. This is the case and a more effective method is needed. Import and export require HS Code (Harmonized System Code) for classification and tax rate application for all goods, and item classification that classifies the HS Code is a highly difficult task that requires specialized knowledge and experience and is an important part of customs clearance procedures. Therefore, this study uses various types of data information such as product name, product description, and product image in the item classification request form to learn and develop a deep learning model to reflect information well based on Multimodal representation learning. It is expected to reduce the burden of customs duties by classifying and recommending HS Codes and help with customs procedures by promptly classifying items.