• Convergence Security Journal
• /
• v.2 no.2
• /
• pp.29-38
• /
• 2002

Everyday demand of wireless internet is increasing. Security problem is certainly resolved for wireless internet activation. Especially problem is only wiretap in mobile communication with voice, but problems, user authentication, data integrity guarantee etc., are resolved in data-services that have commercial transaction over simple data information service such bill, banking. Necessity of wireless PKI that can offer security service likely in wired environment is requested for offering security service in wireless environment. For offering security services, confidentiality, integrity, non-repudiation etc, that of offered in wired environment in wireless environment, first it must construct wireless PKI infrastructure and do service activity. This paper analyze various wireless internet technology for offering safe wireless internet service and wireless PH standards. Performance Result of this paper expect activity of safe wireless PH service and activity of electronic commercial transaction used wireless internet such banking service, bill transaction, online shopping.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.1
• /
• pp.253-258
• /
• 2021

In this study, we explored consumers' the privacy attitudes and Internet activities on the expectations of the fourth industrial revolution. Furthermore, we examined the moderating effect of Internet activities between the privacy attitudes and the expectations of the fourth industrial revolution. Research data are 2018 Korea media panel survey provided by Korea Information Society Development Institute. As a result, concerns about privacy were negative on the expectations of the fourth industrial revolution. Consumer's internet activities had a positive effect on the expectations of the fourth industrial revolution. Concerns about privacy have a negative effect on the expectations of the fourth industrial revolution, but active internet activities have mitigated it or turned it into a positive. This study will contribute as basic data for more active responses in the economic structure facing the 4th industrial revolution.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.8
• /
• pp.2948-2963
• /
• 2015

In the field of computer vision, visual surveillance systems have recently become an important research topic. Growth in this area is being driven by both the increase in the availability of inexpensive computing devices and image sensors as well as the general inefficiency of manual surveillance and monitoring. In particular, the ultimate goal for many visual surveillance systems is to provide automatic activity recognition for events at a given site. A higher level of understanding of these activities requires certain lower-level computer vision tasks to be performed. So in this paper, we propose an intelligent activity recognition model that uses a structure learning method and a classification method. The structure learning method is provided as a K2-learning algorithm that generates Bayesian networks of causal relationships between sensors for a given activity. The statistical characteristics of the sensor values and the topological characteristics of the generated graphs are learned for each activity, and then a neural network is designed to classify the current activity according to the features extracted from the multiple sensor values that have been collected. Finally, the proposed method is implemented and tested by using PETS2013 benchmark data.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.14 no.10
• /
• pp.4176-4197
• /
• 2020

Botnet is a type of dangerous malware. Botnet attack with a collection of bots attacking a similar target and activity pattern is called bot group activities. The detection of bot group activities using intrusion detection models can only detect single bot activities but cannot detect bots' behavioral relation on bot group attack. Detection of bot group activities could help network administrators isolate an activity or access a bot group attacks and determine the relations between bots that can measure the correlation. This paper proposed a new model to measure the similarity between bot activities using the intersections-probability concept to define bot group activities called as B-Corr Model. The B-Corr model consisted of several stages, such as extraction feature from bot activity flows, measurement of intersections between bots, and similarity value production. B-Corr model categorizes similar bots with a similar target to specify bot group activities. To achieve a more comprehensive view, the B-Corr model visualizes the similarity values between bots in the form of a similar bot graph. Furthermore, extensive experiments have been conducted using real botnet datasets with high detection accuracy in various scenarios.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.5
• /
• pp.1856-1869
• /
• 2015

This paper addresses the issues of 3D human activity detection, tracking and recognition from RGB-D video sequences using a feature structured framework. During human tracking and activity recognition, initially, dense depth images are captured using depth camera. In order to track human silhouettes, we considered spatial/temporal continuity, constraints of human motion information and compute centroids of each activity based on chain coding mechanism and centroids point extraction. In body skin joints features, we estimate human body skin color to identify human body parts (i.e., head, hands, and feet) likely to extract joint points information. These joints points are further processed as feature extraction process including distance position features and centroid distance features. Lastly, self-organized maps are used to recognize different activities. Experimental results demonstrate that the proposed method is reliable and efficient in recognizing human poses at different realistic scenes. The proposed system should be applicable to different consumer application systems such as healthcare system, video surveillance system and indoor monitoring systems which track and recognize different activities of multiple users.

• International Journal of Internet, Broadcasting and Communication
• /
• v.15 no.2
• /
• pp.210-217
• /
• 2023

The purpose of this study is to develop a physical activity program for problem drinkers living in side rooms(Jjok-bang) based on the health belief model. In order to develop a physical activity program suitable for and applicable to the characteristics of the problem drinkers, the detailed components of the health belief model and the learning goals for each program were linked. It consists of a total of 10 activities, and in the introductory stage of each program, physical examination and gymnastics were conducted, and in the development stage, 10 physical activities were conducted to help the movement of large and small muscles and concentration. In the final stage of organizing, it consisted of time to express one's emotions through writing and painting and to reflect. The developed program was commissioned by an expert to derive the content validity coefficient (CVI=.75). Through the physical activity program developed in this study, it is believed that the problem drinking behavior of problem drinkers living in side rooms can be gradually reduced. The physical activity program developed in this study is expected to gradually reduce the problems of problem drinkers living in Jjock-bang. In the next step, we propose a study that quantitatively and qualitatively analyzes the intervention effect by applying this program to clients.

• Journal of the Korean Home Economics Association
• /
• v.39 no.12
• /
• pp.159-175
• /
• 2001

The internet which is only opened for special class at the past, diffuse to all classes like junior.senior highschool and woman in general and it boost the internet's popularize. So the consumers can reduce the all physical.time cost, and now the internet settle in the most important method to find the informations. I hope this project can expect the protection the over-carrying of consumer information on internet and consumers can activity acquire the information in consumer's side. Also in the business's side, it promote the developing of fair information offers for lighten the inequality of information. And in the governments side, it's a basic information to plan the legal system for help the consumers to use the safe and correctness internet.

• Journal of Korea Society of Industrial Information Systems
• /
• v.16 no.3
• /
• pp.35-45
• /
• 2011

Due to people's internet use growth and proliferation of ubiquitous technology, the internet addiction is becoming a social issue. However, the current adults' self-diagnosis measure about internet addiction, the K-scale, is a normal diagnostic method, which it does not consider user characteristics. In this research, we will propose a new internet addiction diagnostic method based on users' non-duty internet activities by using some questionnaire items to collect users' basic internet patterns used on duty related or non-duty related web sites. Since we simply ask for the basic internet usage pattern to each user who does not like to check frankly questionnaire items in the K-scale, the proposed method can find some hidden internet addicts compared to the K-scale with the SPSS statistical analysis tool.

• Journal of the Korean Society of Food Culture
• /
• v.17 no.5
• /
• pp.605-618
• /
• 2002

The purposes of this research were to; (a) identify useful information source; (b) assess the usefulness of the Internet as an information source; and (c) assess the degree of Internet utilization for purchasing process in food service industry. The results were as follows; 1. 'personal experience and colleague recommendation' was perceived as the most useful information source, whereas the most frequently used source was 'Internet web site' for real purchasing practice. 2. the most frequently used purchasing activity through Internet was 'online ordering', followed by 'gathering product/component information', however e-marketplace or Internet bidding were less performed by Internet. 3. acquisition of real time information, rapidity, accuracy, and increasing effectiveness of purchasing process were reported the advantages of Internet utilization. 4. respondents somewhat or strongly agreed with the importance of Internet in terms of present and future purchasing management. The results of the research suggest that Internet should be able to improve purchasing process and enhance buyer-supplier relationship directly or indirectly, therefore food service industry should consider making attempt to new purchasing systems through Internet for strategic sourcing and effective procurement management.

• Clinical and Experimental Pediatrics
• /
• v.60 no.1
• /
• pp.17-23
• /
• 2017

Purpose: To examine the correlation of depression with Internet use and body image perception, and to analyze the risk factors of depression in a total of 920 students in Seoul, Korea. Methods: Students were recruited by contacting school principals and teachers and were encouraged to fill out a self-report questionnaire designed specifically for this study in July of 2008. Results: Female participants had an increased risk for depression than did male participants (adjusted odds ratio [aOR], 1.790; 95% confidence interval [CI], 1.330-2.410, P<0.001). Older students were more susceptible to depression (aOR, 1.246; 95% CI, 1.115-1.392, P<0.001). Longer daily Internet use and more frequent Internet use were analyzed as risk factors for depression. No physical activity was a risk factor for depression (aOR, 0.392; 95% CI, 1.264-4.526, P=0.014). Dissatisfaction with one's body image increased the risk for depression (aOR, 1.373; 95% CI, 1.169-1.613; P<0.001). Obesity and perception of body image showed no significant relationship with increased risk for depression. Conclusion: Prevalence of depression was 13.8% in adolescents in Seoul, Korea, in July 2008. Female sex, age, daily Internet use duration, weekly Internet use frequency, physical activity, and dissatisfaction with one's body image independently increased risk of depression.