• 제목/요약/키워드: Behavior monitoring

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R2NET: Storage and Analysis of Attack Behavior Patterns

  • M.R., Amal;P., Venkadesh
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권2호
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    • pp.295-311
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    • 2023
  • Cloud computing has evolved significantly, intending to provide users with fast, dependable, and low-cost services. With its development, malicious users have become increasingly capable of attacking both its internal and external security. To ensure the security of cloud services, encryption, authorization, firewalls, and intrusion detection systems have been employed. However, these single monitoring agents, are complex, time-consuming, and they do not detect ransomware and zero-day vulnerabilities on their own. An innovative Record and Replay-based hybrid Honeynet (R2NET) system has been developed to address this issue. Combining honeynet with Record and Replay (RR) technology, the system allows fine-grained analysis by delaying time-consuming analysis to the replay step. In addition, a machine learning algorithm is utilized to cluster the logs of attackers and store them in a database. So, the accessing time for analyzing the attack may be reduced which in turn increases the efficiency of the proposed framework. The R2NET framework is compared with existing methods such as EEHH net, HoneyDoc, Honeynet system, and AHDS. The proposed system achieves 7.60%, 9.78%%, 18.47%, and 31.52% more accuracy than EEHH net, HoneyDoc, Honeynet system, and AHDS methods.

거꾸로 문제중심학습(FPBL)을 적용한 가정과 수업이 중학생의 메타인지에 미치는 효과 (The Effect of Home Economics Instruction Applying Flipped and Problem-Based Learning on Middle-School Students' Metacognition Skill)

  • 유지선;채정현
    • Human Ecology Research
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    • 제60권4호
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    • pp.565-576
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    • 2022
  • The purpose of this study is to identify the effect of Home Economics Instruction applying Flipped and Problem-Based Learning (FPBL) on Korean middle-school students' metacognition skill. The study uses a pre-post design test of the same group. There were 151 participants (77 male and 74 female) who were middle-school students in the third grade. Two hours of classes on 'Food Selection and Storage' were given per week for three weeks - a total of six hours. Analysis using the t-test revealed a statistically significant difference between the pre-test and the post-test, supporting the conclusion that participating in the class improved the metacognition, food selection, and storage behavior scores of the middle-school students. All area scores and overall averages of metacognitive sub-elements such as planning, monitoring, regulation, and evaluation also improved after taking FPBL classes. From the results of this study, Home Economics Instruction applying FPBL is an effective teaching method for improving middle-school students' metacognition.

Effect of Rock Mass Properties on Coupled Thermo-Hydro-Mechanical Responses at Near-Field Rock Mass in a Heater Test - A Benchmark Sensitivity Study of the Kamaishi Mine Experiment in Japan

  • Hwajung Yoo;Jeonghwan Yoon;Ki-Bok Min
    • 방사성폐기물학회지
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    • 제21권1호
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    • pp.23-41
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    • 2023
  • Coupled thermo-hydraulic-mechanical (THM) processes are essential for the long-term performance of deep geological disposal of high-level radioactive waste. In this study, a numerical sensitivity analysis was performed to analyze the effect of rock properties on THM responses after the execution of the heater test at the Kamaishi mine in Japan. The TOUGH-FLAC simulator was applied for the numerical simulation assuming a continuum model for coupled THM analysis. The rock properties included in the sensitivity study were the Young's modulus, permeability, thermal conductivity, and thermal expansion coefficients of crystalline rock, rock salt, and clay. The responses, i.e., temperature, water content, displacement, and stress, were measured at monitoring points in the buffer and near-field rock mass during the simulations. The thermal conductivity had an overarching impact on THM responses. The influence of Young's modulus was evident in the mechanical behavior, whereas that of permeability was noticed through the change in the temperature and water content. The difference in the THM responses of the three rock type models implies the importance of the appropriate characterization of rock mass properties with regard to the performance assessment of the deep geological disposal of high-level radioactive waste.

Electrochemical and surface investigations of copper corrosion in dilute oxychloride solution

  • Gha-Young Kim ;Junhyuk Jang;Jeong-Hyun Woo;Seok Yoon;Jin-Seop Kim
    • Nuclear Engineering and Technology
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    • 제55권8호
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    • pp.2742-2746
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    • 2023
  • The corrosion behavior of copper immersed in dilute oxychloride solution (100 mM) was studied through surface investigation and in-situ monitoring of open-circuit potential. The copper corrosion was initiated with copper dissolution into a form of CuCl-2, resulting in mass decrease within the first 40 h of immersion. This was followed by a hydrolysis reaction initiated by the CuCl-2 at the copper surface, after which oxide products were formed and deposited on the surface, resulting in a mass increase. The formation of nucleation sites for copper oxide and its lateral extension during the corrosion process were examined using focused ion beam (FIB)-scanning electron microscopy (SEM). The presence of metastable compounds such as atacamite (CuCl2·3Cu(OH)2) on the corroded copper surface was revealed by X-ray photoelectron spectra (XPS) and transmission electron microscopy (TEM)-energy dispersive spectrometry (EDS) analysis.

Assessing the Human Perceptions of Physical Environmental Stressors Through Behavior Response Examination

  • Kim, Siyeon;Kim, Yeon Joo;Kim, Hyunsoo;Hwang, Sungjoo
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.855-862
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    • 2022
  • Environmental stressors considerably influence the health and safety of humans and must thus be continuously monitored to enhance the urban environments and associated safety. Environmental stressors typically act as stimuli and lead to behavioral changes that can be easily identified. These behavioral responses can thus be used as indicators to clarify people's perceptions of environmental stressors. Therefore, in this study, a framework for assessing environmental stressors based on human behavioral responses was developed. A preliminary experiment was conducted to investigate the feasibility of the framework. Human behavioral and physiological data were collected using wearable sensors, and a survey was performed to determine the psychological responses. Humans were noted to consistently exhibit changes in the movement and speed in the presence of physical environmental stressors, as physiological and psychological responses. The results demonstrated the potential of using behavioral responses as indicators of the human perceptions toward environmental stressors. The proposed framework can be used for urban environment monitoring to enhance the quality and safety.

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The Analysis of the Activity Patterns of Dog with Wearable Sensors Using Machine Learning

  • ;;김희철
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2021년도 춘계학술대회
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    • pp.141-143
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    • 2021
  • The Activity patterns of animal species are difficult to access and the behavior of freely moving individuals can not be assessed by direct observation. As it has become large challenge to understand the activity pattern of animals such as dogs, and cats etc. One approach for monitoring these behaviors is the continuous collection of data by human observers. Therefore, in this study we assess the activity patterns of dog using the wearable sensors data such as accelerometer and gyroscope. A wearable, sensor -based system is suitable for such ends, and it will be able to monitor the dogs in real-time. The basic purpose of this study was to develop a system that can detect the activities based on the accelerometer and gyroscope signals. Therefore, we purpose a method which is based on the data collected from 10 dogs, including different nine breeds of different sizes and ages, and both genders. We applied six different state-of-the-art classifiers such as Random forests (RF), Support vector machine (SVM), Gradient boosting machine (GBM), XGBoost, k-nearest neighbors (KNN), and Decision tree classifier, respectively. The Random Forest showed a good classification result. We achieved an accuracy 86.73% while the detecting the activity.

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Procedural steps for reliability evaluation of ultrasonically welded REBCO coated conductor lap-joints under low cycle fatigue test condition

  • Michael De Leon;Mark Angelo Diaz;Hyung-Seop Shin
    • 한국초전도ㆍ저온공학회논문지
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    • 제25권4호
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    • pp.28-31
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    • 2023
  • This study presents a comprehensive procedure for the low cycle fatigue test of ultrasonically welded (UW) coated conductor (CC) lap-joints. The entire process is examined in detail, from the robust fabrication of the UW REBCO CC joints to the reliability testing under a low number of repeated cycle fatigue conditions. A continuous Ic measurement system enables real-time monitoring of Ic variations throughout the fatigue tests. The study aims to provide a step-by-step procedure that involves joint fabrication, electromechanical property (EMP) tests under uniaxial tension for stress level determination, and subsequent low-cycle fatigue tests. The joints are fabricated using a hybrid method that combines UW with adding In-Sn soldering, achieving a flux-free hybrid welding approach (UW-HW flux-free). The selected conditions for the low cycle fatigue tests include a stress ratio of R=0.1 and a frequency of 0.02 Hz. The results reveal some insights into the fatigue behavior, irreversible changes, and cumulative damage in the CC joints.

지하역사 내 승하차 인원에 따른 식생바이오필터의 미세먼지 저감효과와 운전전략 (The Fine Dust Reduction Effect and Operational Strategy of Vegetation Biofilters Based on Subway Station Passenger Volume)

  • 이재영;김예진;김미주
    • 반도체디스플레이기술학회지
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    • 제22권4호
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    • pp.13-18
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    • 2023
  • A subway station is a prominent multi-purpose facility where the quantitative management of fine dust, generated by various factors, is conducted. Recently, eco-friendly air purification methods using air-purifying plants are being discussed, with the focus on biofiltration through vegetation. Previous research in this field has confirmed the reduction effects of transition metals such as Fe, which have been identified as harmful to human health. This study aimed to identify the sources of fine dust dispersion within subway stations and derive an efficient operational strategy for air-purifying plants that takes into account the behavior characteristics of fine dust within multi-purpose facilities. The experiment monitored regional fine dust levels through IAQ stations established based on prior research. Also, the data was analyzed through time-series and correlation analyses by linking it with passenger counts at subway stations and the frequency of train stops. Furthermore, to consider energy efficiency, we conducted component-specific power consumption monitoring. Through this study, we were able to derive the optimal operational strategy for air-purifying plants based on time-series comprehensive analysis data and confirm significant energy efficiency.

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Digital Twin based Household Water Consumption Forecasting using Agent Based Modeling

  • Sultan Alamri;Muhammad Saad Qaisar Alvi;Imran Usman;Adnan Idris
    • International Journal of Computer Science & Network Security
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    • 제24권4호
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    • pp.147-154
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    • 2024
  • The continuous increase in urban population due to migration of mases from rural areas to big cities has set urban water supply under serious stress. Urban water resources face scarcity of available water quantity, which ultimately effects the water supply. It is high time to address this challenging problem by taking appropriate measures for the improvement of water utility services linked with better understanding of demand side management (DSM), which leads to an effective state of water supply governance. We propose a dynamic framework for preventive DSM that results in optimization of water resource management. This paper uses Agent Based Modeling (ABM) with Digital Twin (DT) to model water consumption behavior of a population and consequently forecast water demand. DT creates a digital clone of the system using physical model, sensors, and data analytics to integrate multi-physical quantities. By doing so, the proposed model replicates the physical settings to perform the remote monitoring and controlling jobs on the digital format, whilst offering support in decision making to the relevant authorities.

전략적 제휴에서의 기회주의행동 유발과정에 관한 연구 (A study on the formation process of opportunism in strategic alliance)

  • 강인원;박경신
    • 통상정보연구
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    • 제17권3호
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    • pp.225-250
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    • 2015
  • 국가 간 경계를 넘나드는 다국적기업들의 전략적 제휴는 부족한 자원을 효과적으로 채워줄 수 있는 수단으로서 그 중요성이 강조되고 있다. 하지만 기업들의 전략적 제휴가 급증하면서 전략적 제휴 파트너에 의한 핵심기술이나 노하우 유출 같은 극단적인 불법 행위 뿐만 아니라 자사에게만 이득이 되도록 행동하는 소위 기회주의적인 행동을 보이는 경우도 늘어나고 있다. 이에 본 연구는 전략적 제휴에서 기회주의행동이 어떻게 초래되는지를 살펴보고자 하였다. 이를 위해 기업들이 지각하는 특정 자원에 대한 이익과 초래될 수 있는 위험이 제휴참여자들의 제휴참여의 방향성을 결정하고 이러한 참여의 향성에 따라 기회주의행동이 발생한다는 흐름에 초점을 맞추었다. 현재 한국, 중국, 그리고 일본에서 제휴를 진행하고 있는 제휴참여자 257명을 대상으로 실증분석 한 결과, 이익지각보다 리스크지각이 제휴참여자의 참여수준과 기회주의행동의 방향성을 결정하는 주요한 단서임을 알 수 있었다. 특히 관계적 위험이 높을수록 제휴참여자들은 경쟁적 참여와 기회주의행동의 수준이 높아지는 것으로 분석되었다. 즉, 리스크지각으로 유발된 제휴참여자들의 경쟁적 독립적인 참여는 기업들이 제휴에 투자한 자원 대비 효과적인 성과를 얻어낼 수 없다는 것을 알 수 있었다. 이를 통해 감시, 통제, 모니터링, 법적조치와 같은 외압적인 장치 외에 제휴과정에서 파트너가 지각하는 리스크를 어떻게 관리하느냐에 따라 전략적 제휴 참여자들의 참여와 행동의 방향성이 결정될 수 있음을 알 수 있었다.

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