• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.27 no.1
• /
• pp.103-113
• /
• 2017

Cyber attacks can be classified by type of cyber war, terrorism and crime etc., depending on the purpose and intent. Those are mobilized the various means and tactics which are like hacking, DDoS, propaganda. The damage caused by cyber attacks can be calculated by a variety of categories. We may identify cyber attackers to pursue trace-back based facts including digital forensics etc. However, recent cyber attacks are trying to induce confusion and deception through the manipulation of digital information or even conceal the attack. Therefore, we need to do the harm-based analysis. In this paper, we analyze the damage caused during cyber attacks from economic and political point of view and by inferring the attack intent could classify types of cyber attacks.

• International Journal of Computer Science & Network Security
• /
• v.22 no.6
• /
• pp.230-240
• /
• 2022

Sharing of online videos via internet is an emerging and important concept in different types of applications like surveillance and video mobile search in different web related applications. So there is need to manage personalized web video retrieval system necessary to explore relevant videos and it helps to peoples who are searching for efficient video relates to specific big data content. To evaluate this process, attributes/features with reduction of dimensionality are computed from videos to explore discriminative aspects of scene in video based on shape, histogram, and texture, annotation of object, co-ordination, color and contour data. Dimensionality reduction is mainly depends on extraction of feature and selection of feature in multi labeled data retrieval from multimedia related data. Many of the researchers are implemented different techniques/approaches to reduce dimensionality based on visual features of video data. But all the techniques have disadvantages and advantages in reduction of dimensionality with advanced features in video retrieval. In this research, we present a Novel Intent based Dimension Reduction Semi-Supervised Learning Approach (NIDRSLA) that examine the reduction of dimensionality with explore exact and fast video retrieval based on different visual features. For dimensionality reduction, NIDRSLA learns the matrix of projection by increasing the dependence between enlarged data and projected space features. Proposed approach also addressed the aforementioned issue (i.e. Segmentation of video with frame selection using low level features and high level features) with efficient object annotation for video representation. Experiments performed on synthetic data set, it demonstrate the efficiency of proposed approach with traditional state-of-the-art video retrieval methodologies.

• Journal of Korean Academic Society of Home Health Care Nursing
• /
• v.12 no.2
• /
• pp.63-86
• /
• 2005

Purpose: This study is a descriptive research which is designed to investigate hospitalized patients' intent to use home care nursing according to the types of medical security. Method: This researcher surveyed 236 patients who were hospitalized at B medical center located in Busan,. Data were collected from Sep. 1 to Nov. 30, 2005 using a questionnaire survey, medical records, face-to-face interviews and observations. Collected data were analyzed in terms of frequency, percentage, mean and standard deviation through $x^2$-test and t-test under SPSS WIN 10.0 Program. Result: Out of the total subjects, 59.3% were medical aid clients and the remaining 40.7%, health insurance ones. The hospitalized period and frequency of the former group were 38.0 days and 4.0 times, respectively, while those of the latter, 37.7 and 3.4. When home care nursing clients were examined using a given classification device, it was found that out of the total 236 subjects, 205(86.9%) were needed to receive home care nursing, 121, medical aid and the other 84, health insurance. 24.0% of medical aid clients heard about home care nursing ever before, lower than 39.3% of health insurance clients. 43.8% of the former clients said cost for home care nursing was high while, 47.6% of the latter group responded expense for the nursing intervention was low. 30.6% of medical aid clients had intent to use home care nursing, lower than 47.6% of health insurance clients. 71.7% of those patients whose monthly income was 99 million won or below had no intent to use home care nursing, higher than 62.5% of those who were 100 million or over in monthly income(p<.05). 76.4% of those clients who had no nursing provider intented to use home care nursing, higher than those who had nursing provider(p<.05). Concerning contents of home care nursing, 85.1% of medical aid clients needed education, training and counseling while, 77.4% of health insurance aids wanted medication and injection. Conclusion: In conclusion, the use of home care nursing by medical aid clients should be promoted through improving conditions for home care nursing in terms of expense, family and residence and making public relations about activities and contents of the home care nursing.

• Journal of Navigation and Port Research
• /
• v.27 no.3
• /
• pp.321-327
• /
• 2003

The Memorandum of Understanding (MOU) is the document of intent signed between the Port States Control(PSC) to undertake a uniform as agreed. Though the MOU is not a legally binding, in case where the agreed items are violated without a just cause, the denunciation will follow. International Maritime Organization (IMO) and regional MOUs have been making amendments and reinforcing the relevant requirements, so that port State Authorities can effectively eradicate the substandard vessels. However, the various problems have arisen due to the existence of different requirements of each MOU, the lack of information exchange between each MOU, the lack of uniform PSC implementation within the same MOU and the lack of adequate system due to the short history of MOUs. In this paper, the MOU records for three years (1999∼2001) were analyzed according to each MOU, type of ship, deficiency code, classification society, the number of inspected ships and the number of detained ships to assess the problems (Statistics during 2002 will be published after August 2003). The purpose of this study is to help better understand the PSC activities within each MOU and to establish effective countermeasures by grasping the problems that exist in the PSC at present.

• Journal of Information Science Theory and Practice
• /
• v.2 no.3
• /
• pp.29-39
• /
• 2014

In recent years, several studies have proposed making use of the Twitter micro-blogging service to track various trends in online media and discussion. In this study, we specifically examine the use of Twitter to track discussions of food safety in the Korean language. Given the irregularity of keyword use in most tweets, we focus on optimistic machine-learning and feature set selection to classify collected tweets. We build the classifier model using Naive Bayes & Naive Bayes Multinomial, Support Vector Machine, and Decision Tree Algorithms, all of which show good performance. To select an optimum feature set, we construct a basic feature set as a standard for performance comparison, so that further test feature sets can be evaluated. Experiments show that precision and F-measure performance are best when using a Naive Bayes Multinomial classifier model with a test feature set defined by extracting Substantive, Predicate, Modifier, and Interjection parts of speech.

• International Journal of Computer Science & Network Security
• /
• v.22 no.7
• /
• pp.389-396
• /
• 2022

Smartphones are growing more susceptible as technology develops because they contain sensitive data that offers a severe security risk if it falls into the wrong hands. The Android OS includes permissions as a crucial component for safeguarding user privacy and confidentiality. On the other hand, mobile malware continues to struggle with permission misuse. Although permission-based detection is frequently utilized, the significant false alarm rates brought on by the permission-based issue are thought to make it inadequate. The present detection method has a high incidence of false alarms, which reduces its ability to identify permission-based attacks. By using permission features with intent, this research attempted to improve permission-based detection. However, it creates an excessive number of features and increases the likelihood of false alarms. In order to generate the optimal number of features created and boost the quality of features chosen, this research developed an intersection feature approach. Performance was assessed using metrics including accuracy, TPR, TNR, and FPR. The most important characteristics were chosen using the Correlation Feature Selection, and the malicious program was categorized using SVM and naive Bayes. The Intersection Feature Technique, according to the findings, reduces characteristics from 486 to 17, has a 97 percent accuracy rate, and produces 0.1 percent false alarms.

• Annual Conference on Human and Language Technology
• /
• 2018.10a
• /
• pp.155-159
• /
• 2018

최근 화두가 되고있는 지능형 개인 비서 시스템에서 자연어 이해(NLU) 시스템은 중요한 구성요소이다. 자연어 이해 시스템은 사용자의 발화로부터 대화의 도메인(domain), 의도(intent), 의미적 슬롯(semantic slot)을 분류하는 역할을 한다. 하지만 자연어 이해 시스템을 학습하기 위해서는 많은 양의 라벨링 된 데이터를 필요로 하며 새로운 도메인으로 시스템을 확장할 때, 새롭게 데이터 라벨링을 진행해야 하는 한계점이 존재한다. 이를 해결하기 위해 본 연구는 적대 학습 방법을 이용하여 풍부한 양으로 구성된 기존(source) 도메인의 데이터부터 적은 양으로 라벨링 된 데이터로 구성된 대상(target) 도메인을 위한 슬롯 채우기(slot filling) 모델 학습 방법을 제안한다. 실험 결과 적대 학습을 적용할 경우, 적대 학습을 적용하지 않은 경우 보다 높은 f-1 score를 나타냄을 확인하였다.

• Annual Conference on Human and Language Technology
• /
• 2022.10a
• /
• pp.517-520
• /
• 2022

지능형 대화 시스템은 줄곧 서비스의 목표와 무관한 사용자 입력을 전달받아, 그 처리 성능을 의심받는다. 특히 종단간 대화 이해 생성 모델이나, 기계학습 기반 대화 이해 모델은 학습 시간대에 한정된 범위의 도메인 입력에만 노출됨으로, 사용자 발화를 자신이 처리 가능한 도메인으로 과신하는 경향이 있다. 본 연구에서는 대화 생성 모델이 처리할 수 없는 입력과 신뢰도가 낮은 생성 결과를 배제하기 위해 불확실성 정량화 기법을 대화 의도 분류 모델에 적용한다. 여러 번의 추론 샘플링이 필요 없는 실용적인 예측 신뢰도 획득 방법과 함께, 평가 시간대와 또다른 도메인으로 구성된 분포 외 입력 데이터를 학습에 노출시키는 것이 분포 외 입력을 구분하는데 도움이 되는지를 실험으로 확인한다.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.22 no.2
• /
• pp.135-140
• /
• 2012

The mirror neuron system in the cerebrum, which are handled by visual information-based imitative learning. When we observe the observer's range of mirror neuron system, we can assume intention of performance through progress of neural activation as specific range, in include of partially hidden range. It is goal of our paper that imitative learning is applied to 3D vision-based intelligent system. We have experiment as stereo camera-based restoration about acquired 3D image our previous research Using Optical flow, unscented Kalman filter. At this point, 3D input image is sequential continuous image as including of partially hidden range. We used Hidden Markov Model to perform the intention recognition about performance as result of restoration-based hidden range. The dynamic inference function about sequential input data have compatible properties such as hand gesture recognition include of hidden range. In this paper, for proposed intention recognition, we already had a simulation about object outline and feature extraction in the previous research, we generated temporal continuous feature vector about feature extraction and when we apply to Hidden Markov Model, make a result of simulation about hand gesture classification according to intention pattern. We got the result of hand gesture classification as value of posterior probability, and proved the accuracy outstandingness through the result.

• Journal of Korea Game Society
• /
• v.10 no.5
• /
• pp.65-73
• /
• 2010

In this paper, we developed the device for an interactive game interface using bio signals which were able to recognize user's motion intention using EMG signals and it was applied to the games which need the information of the muscle motion directions. The module for acquiring EMG signals consists of 4-Ch, wrist-motions were defined as up, right, down and left state. The user's intent was recognized through thresholding and comparing signals of each channel. The classification result of the motion directions could control the arrow keys on the keyboard of PC and it was applied on the various games. This proposed game device can be expected to induce an effective exercise with an interesting and enjoyment, and it can use both self-developed or commercial games.