• Convergence Security Journal
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• v.19 no.4
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• pp.115-121
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• 2019

Recently, as the use of smart devices is becoming more common, various and convenient services are being developed. Among these services, the Social Network Service(SNS) is easily accessible anywhere, anytime. In particular, as well as sharing information, it forms a social relationship in cyberspace to expand new connections, and the SNS account is used as an authentication means of other services to provide users with speed and convenience at all times. However, despite the many advantages of SNS, due to security vulnerabilities occurring in the interworking process with various services, accidents of personal information are constantly occurring, and it is urgent to prepare countermeasures against potential risk factors. It is a necessary situation. Therefore, in this paper, the use of SNS is expected to increase rapidly in the future, and it is expected that it will be used as the basic data for developing the countermeasures by learning the countermeasures according to the security threats of the SNS.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.29 no.4
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• pp.212-218
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• 2003

Matrix metalloproteinases (MMPs) play an important role in the normal morphogenesis, maintenance, and repair of matrix and also have important functions in pathologic conditions characterized by excessive degradation of extracellular matrix, such as rheumatoid arthritis, osteoarthritis, periodontitis and in tumor invasion and metastasis. In this study, expression of MMP-1 and -2 mRNA in retrodiscal tissue of the temporomandibular joint (TMJ) was examined and compared with magnetic resonance imaging (MRI) and surgical findings. MMP mRNAs in the retrodiscal tissue samples were detected by reverse transcription - polymerase chain reaction. TMJ internal derangement (ID) was categorized as normal disc position, disc displacement with reduction, early stage of disc displacement without reduction (DDsR) and late stage of DDsR. TMJ osteoarthrosis (OA) was classified with normal, mild and advanced OA. The amount of synovial fluid collection was divided into not detected, small, large and extremely large amount on MR T2-weighted imaging. Perforation and adhesion were examined during open surgery of the TMJ. Six out of 37 samples were excluded because of little amount of extracted total mRNA. MMP-2 mRNA was detected whole joints, and so the MMP-2 mRNA seems to be expressed normally in retrodiscal tissue. However, MMP-1 mRNA was expressed in 8 of 31 joints. Frequencies of MMP-1 mRNA expression according to the TMJ IDs, amount of synovial fluid and surgical findings made no significant difference. MMP-1 mRNA was detected more frequently in OA groups (7/16 joints, 43.8%) than in normal bony structure group (1/15 joints, 6.7%). Expression of MMP-1 mRNA in retrodiscal tissue might be related with OA of the TMJ.

• Journal of Internet Computing and Services
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• v.13 no.6
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• pp.55-62
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• 2012

Grid web applications by standard Web technology are increasingly used to provide grid service to users as normal Web user interface and service. It is however difficult to integrate a grid security system such as Grid Security Infrastructure (GSI) into Web applications because the delegation way of standard Web security is not the same as the one of Grid security. This can be solved by allowing Web applications to get a Grid credential by using an online credential repository system such as MyProxy. In this paper, we investigate the problem that occurs when MyProxy, which assumes mutual trust between a user and Grid web application, is adapted for achieving security integration between Web and Grid, and we propose a new Grid proxy delegation service to delegate a Grid credential to the Web without assuming mutual trust. In the service, the X.509 proxy delegation process is added to OAuth protocol for credential exchange, and authentication can be done by an external service such as OpenID. So, users can login onto the Grid web application in a single sign-on manner, and are allowed to securely delegate and retrieve multiple credentials for one or more Virtual Organizations.

• Convergence Security Journal
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• v.10 no.4
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• pp.69-76
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• 2010

public certification is some kind of electric ID which can prove the valid user, based on open KEY. usually it had been used in the field of government complaint, e-commerce, financial. but recently it expands the its use range through computerization of work process of diversity fields such as e-sports, property, medical industry. because of this reason, importance for user certificate process is gradually rose. The purpose of this paper is looking at the method for user certification of public certificates and draw a way for enforce the user certification process by Vulnerability Analysis. To draw the alternative we study the Authentication Principle and policy structure of public certification system by researching references, has drew the limitation for policy of certification. we provide the guideline to enforce the user certification through conclusion which has been drew from previous step.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.7
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• pp.595-604
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• 2013

Devising a secure authenticated key agreement (AKA) protocol for two entities communicating over an open network is a matter of current research. McCullagh et al. proposed a new two-party identity-based AKA protocol supporting both key escrow and key escrow-less property instantiated by either in a single domain or over two distinct domains. In this paper, we show that their protocol over two distinct domains suffers from masquerading attack and therefore does not satisfy the claimed security. The attack is made possible due to the lack of sufficient authentication of entity and integrity assurance in the protocol. We then propose an efficient verifiable key agreement protocol by including signature primitive in the authentication procedure to solve the problem of McCullagh et al.'s protocol.

• Journal of the Korean Institute of Gas
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• v.11 no.2 s.35
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• pp.71-77
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• 2007

This research proposes the U-drawing information system (U-DIS) based on risk assessment. One of the most outstanding features of U-DIS is to perform the Quantitative Risk Assessment directly on the screen utilizing the Process Information. U-DIS revolutionizes the existing way to do a risk assessment and helps finding information more efficiently and simply. It is designed to open all CAD drawing files on the web-based environment without having the CAD S/W installed on the PC. The U terminal platform in U-DIS supports IPv6 and wireless broadband network and U-DIS can be accessible through a sensor or personal authorization. This results in providing a systematic safety enhancement tool considering not only the operation of the process but also its risk level in the equipment industry. Additionally to aid the decision making process it offers comprehensive and thorough information based on engineering technical theory.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.10
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• pp.4250-4267
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• 2015

Although many revocable group signature schemes has been proposed in vehicular ad hoc networks (VANETs), the existing schemes suffer from long computation delay on revocation that they cannot adapt to the dynamic VANETs. Based on Chinese remainder theorem and Schnorr signature algorithm, this paper proposes an efficient revocable group signature scheme in VANETs. In the proposed scheme, it only need to update the corresponding group public key when a member quits the group, and in the meanwhile the key pairs of unchanged group members are not influenced. Furthermore, this scheme can achieve privacy protection by making use of blind certificates. Before joining to the VANETs, users register at local trusted agencies (LTAs) with their ID cards to obtain blind certificates. The blind certificate will be submitted to road-side units (RSUs) to verify the legality of users. Thus, the real identities of users can be protected. In addition, if there is a dispute, users can combine to submit open applications to RSUs against a disputed member. And LTAs can determine the real identity of the disputed member. Moreover, since the key pairs employed by a user are different in different groups, attackers are not able to track the movement of users with the obtained public keys in a group. Furthermore, performance analysis shows that proposed scheme has less computation cost than existing schemes.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.4
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• pp.209-215
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• 2022

The International Maritime Organization, which is in charge of the international maritime environment and ship safety, has rapidly promoted cyber systems for international dimension agreement and efficiency improvement and improved nautical efficiency. Nevertheless, maritime cyber system attacks still occur every year, and in particular, the number of international maritime cyber security incidents in 2021 appeared to increase sharply compared to 2020. This paper discusses the areas that should be taken into account in order to reduce the increasing sophistication of maritime cyber security. To this end, we will look at typical cases of cyber attacks that have increased sharply in 2021 and analyze the causes of the continuous occurrence of maritime cyber security incidents. In addition, we present several cyber system proposals regarding the current state of maritime cyber systems and the solutions to the problems they face, as well as the matters to be addressed for future maritime cyber systems that will be advanced.

• Korean journal of applied entomology
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• v.52 no.3
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• pp.243-248
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• 2013

This study was conducted to understand the settlement process of Ascotis selenaria larvae into citrus orchards with respect to oviposition site and analysis of the spatial distribution pattern of the larvae. A. selenaria eggs were not found on citrus trees in field and green house, but not on citrus trees in the field. A. selenaria larvae showed a significant clump distribution in the greenhouse. In the open citrus field, the index of dispersion was around 1.0 in most cases, with a weak clumping degree. However, the d-statistic was between -1.96 and 1.96, indicating a statistically significant random distribution. In addition, the Green's index (a clumping index) was very low in all cases, even though the clump distribution was accepted. for most samples, the probability distribution of larval frequency in the field satisfied the probability distribution functions of Poisson (random pattern) and the negative binomial (clump pattern) distribution. In addition, the temporal distribution of the larvae in the open field showed a pattern which was formed by colonizers from outside oviposition sites. Further, the difference in larval spatial distribution between field and greenhouse orchards was discussed.

• Journal of Intelligence and Information Systems
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• v.20 no.4
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• pp.89-105
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• 2014

After emergence of Internet, social media with highly interactive Web 2.0 applications has provided very user friendly means for consumers and companies to communicate with each other. Users have routinely published contents involving their opinions and interests in social media such as blogs, forums, chatting rooms, and discussion boards, and the contents are released real-time in the Internet. For that reason, many researchers and marketers regard social media contents as the source of information for business analytics to develop business insights, and many studies have reported results on mining business intelligence from Social media content. In particular, opinion mining and sentiment analysis, as a technique to extract, classify, understand, and assess the opinions implicit in text contents, are frequently applied into social media content analysis because it emphasizes determining sentiment polarity and extracting authors' opinions. A number of frameworks, methods, techniques and tools have been presented by these researchers. However, we have found some weaknesses from their methods which are often technically complicated and are not sufficiently user-friendly for helping business decisions and planning. In this study, we attempted to formulate a more comprehensive and practical approach to conduct opinion mining with visual deliverables. First, we described the entire cycle of practical opinion mining using Social media content from the initial data gathering stage to the final presentation session. Our proposed approach to opinion mining consists of four phases: collecting, qualifying, analyzing, and visualizing. In the first phase, analysts have to choose target social media. Each target media requires different ways for analysts to gain access. There are open-API, searching tools, DB2DB interface, purchasing contents, and so son. Second phase is pre-processing to generate useful materials for meaningful analysis. If we do not remove garbage data, results of social media analysis will not provide meaningful and useful business insights. To clean social media data, natural language processing techniques should be applied. The next step is the opinion mining phase where the cleansed social media content set is to be analyzed. The qualified data set includes not only user-generated contents but also content identification information such as creation date, author name, user id, content id, hit counts, review or reply, favorite, etc. Depending on the purpose of the analysis, researchers or data analysts can select a suitable mining tool. Topic extraction and buzz analysis are usually related to market trends analysis, while sentiment analysis is utilized to conduct reputation analysis. There are also various applications, such as stock prediction, product recommendation, sales forecasting, and so on. The last phase is visualization and presentation of analysis results. The major focus and purpose of this phase are to explain results of analysis and help users to comprehend its meaning. Therefore, to the extent possible, deliverables from this phase should be made simple, clear and easy to understand, rather than complex and flashy. To illustrate our approach, we conducted a case study on a leading Korean instant noodle company. We targeted the leading company, NS Food, with 66.5% of market share; the firm has kept No. 1 position in the Korean "Ramen" business for several decades. We collected a total of 11,869 pieces of contents including blogs, forum contents and news articles. After collecting social media content data, we generated instant noodle business specific language resources for data manipulation and analysis using natural language processing. In addition, we tried to classify contents in more detail categories such as marketing features, environment, reputation, etc. In those phase, we used free ware software programs such as TM, KoNLP, ggplot2 and plyr packages in R project. As the result, we presented several useful visualization outputs like domain specific lexicons, volume and sentiment graphs, topic word cloud, heat maps, valence tree map, and other visualized images to provide vivid, full-colored examples using open library software packages of the R project. Business actors can quickly detect areas by a swift glance that are weak, strong, positive, negative, quiet or loud. Heat map is able to explain movement of sentiment or volume in categories and time matrix which shows density of color on time periods. Valence tree map, one of the most comprehensive and holistic visualization models, should be very helpful for analysts and decision makers to quickly understand the "big picture" business situation with a hierarchical structure since tree-map can present buzz volume and sentiment with a visualized result in a certain period. This case study offers real-world business insights from market sensing which would demonstrate to practical-minded business users how they can use these types of results for timely decision making in response to on-going changes in the market. We believe our approach can provide practical and reliable guide to opinion mining with visualized results that are immediately useful, not just in food industry but in other industries as well.