• Title/Summary/Keyword: reputation ratio

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Enhanced Reputation-based Fusion Mechanism for Secure Distributed Spectrum Sensing in Cognitive Radio Networks (인지 라디오 네트워크에서 안전한 분산 스펙트럼 센싱을 위한 향상된 평판기반 퓨전 메커니즘)

  • Kim, Mi-Hui;Choo, Hyun-Seung
    • Journal of Internet Computing and Services
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    • v.11 no.6
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    • pp.61-72
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    • 2010
  • Spectrum scarcity problem and increasing spectrum demand for new wireless applications have embossed the importance of cognitive radio technology; the technology enables the sharing of channels among secondary (unlicensed) and primary (licensed) users on a non-interference basis after sensing the vacant channel. To enhance the accuracy of sensing, distributed spectrum sensing is proposed. However, it is necessary to provide the robustness against the compromised sensing nodes in the distributed spectrum sensing. RDSS, a fusion mechanism based on the reputation of sensing nodes and WSPRT (weighted sequential probability ratio test), was proposed. However, in RDSS, the execution number of WSPRT could increase according to the order of inputted sensing values, and the fast defense against the forged values is difficult. In this paper, we propose an enhanced fusion mechanism to input the sensing values in reputation order and exclude the sensing values with the high possibility to be compromised, using the trend of reputation variation. We evaluate our mechanism through simulation. The results show that our mechanism improves the robustness against attack with the smaller number of sensing values and more accurate detection ratio than RDSS.

A Study on the Consciousness of Fashion Industry Internship - Focused on Directors of fashion Industries - (패션 산업 인턴십에 대한 의식 연구 -패션 기업 관계자를 중심으로 -)

  • Chung Sang-Gil;Yu Ji-Hun
    • The Research Journal of the Costume Culture
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    • v.13 no.4 s.57
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    • pp.604-621
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    • 2005
  • The purpose of this study were to analyse the consciousness of persons in charge of fashion industries and to provide some basis data for development of the fashion internship program which could reduce differentiation between fashion colleges and fashion companies. Fifty national fashion brands had been randomly selected and question researches had done from August twenty-seventh to October thirtieth by the visit, mail, fax and e-mail etc. Date analyses were conducted with SPSS program on the frequency, t-test and ANOVA. The results were as follows. The companies selected interns by documents and interview, however, in the future they will prefer to accept interns by appraising some task. They preferred to apprentice for two months with some simple job and tasks. The companies wanted some prerequisite study such as major curriculum, human nature education, computer education. And each division wanted different curriculum. They wanted to be joined with industrial disaster insurance for intern and to be given allowance and credit. They also preferred reputation ratio of industry : college as $70\%$ : $30\%$ for intern reputation. There were some vitalizing method of fashion internship such as discriminated fashion internship program, government support for industries, universities and students, organization opening to connect industry and . university, mentor-system and credit system introducing, curriculum reforming in the university.

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A Reputation Management Scheme Improving the Trustworthiness of Multi-peers and Shared Resources in P2P Networks (다중 피어 및 공유 자원의 신뢰성 향상을 위한 P2P 네트워크의 평판 관리)

  • Shin, Jung-Hwa;Kim, Tae-Hoon;Tak, Sung-Woo
    • Journal of Korea Multimedia Society
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    • v.11 no.10
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    • pp.1409-1419
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    • 2008
  • Inauthentic resources can be easily spread by P2P (Peer-to-Peer) participants due to the openness and anonymity of P2P networks. A possible way to restrict the distribution of inauthentic resources and prevent malicious peers from joining P2P networks is to exploit peers' reputation which reflect their past behaviors and are also helpful to predict peers' future behaviors. There is a possibility that some peers intentionally plays along with other peers in order to increase/decrease its reputation through false feedback exchanges. Therefore, we propose a new reputation management scheme, called TrustRRep (Trustable Resource sharing service using Reputation) scheme, which improves the trustworthiness and efficiency of P2P networks by identifying peers who give false feedback. The TrustRRep scheme is also capable of providing peers with the trustworthiness of shared resources by discriminating resources distributed by malicious peers. We implement the proposed TrustRRep scheme on the NS-2 simulator for evaluating its performance compared to the recent reputation management work available in literature. A case study on simulations shows that the proposed reputation management scheme yields efficient performance in terms of the minimal download ratio and dissemination of inauthentic resources, the efficient identification of peers who give false feedback, and the provisioning of the trustworthiness of peers' reputation. It also shows that the proposed TrustRRep scheme imposes the restrictions of participating P2P networks on a malicious peers by diminishing its trust value.

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The Study of Death during Military Services and the advanced Death Investigation System (군내 사망사고 실태분석을 통한 변사체 검시제도의 개선에 관한 연구)

  • Gil, Byung-Cheon
    • Journal of forensic and investigative science
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    • v.3 no.1
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    • pp.5-24
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    • 2008
  • The necessity for the investigation of death occurred in military services has no differences to the death of civilians. But the death of military service members under the Universal Conscription System in Korea has special considerations because of hard accessibility by the bereaved family and closed environment of the army. The analysis of the death occurred during military service was carried out and the advanced death investigation system to prevent the death was proposed to prevent the declination of fighting spirit and efficiency and also to restore the solid support by the people. The deaths in the period 1995~2006 were 330 persons in 1995, 359 persons in 1996 and were decreased to 135 persons in 2006. The death caused by safety accidents including vehicle accident, drowning, fall were 56% and by military crimes including suicide, arms, homicide were 44%. The numbers of suicides were 108 persons in 1995 and were decreased to 79 persons in 2006. The numbers of suicides were decreased constantly, but the ratio of suicide to death were increased, so the suicide prevention is more important. The autopsy ratio was increased to 51.5% in 2005 and was much higher compared to the ratio for civilians. The main reasons of complaints by the bereaved family were for regaining reputation, death in harness and reinvestigation of death. The proposals for the advanced death investigation system were as follows. The unnatural deaths including the obvious accidental deaths and homicides have to be defined by the rules. The human resources to perform the autopsy can be supported by the forensic pathologists from medical school. The special training and quality assurance programs are needed for the crime scene investigator. To regain the impaired reputation from the suicide and to support the bereaved family has to be discussed by the government.

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Trust based Secure Reliable Route Discovery in Wireless Mesh Networks

  • Navmani, TM;Yogesh, P
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.7
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    • pp.3386-3411
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    • 2019
  • Secured and reliable routing is a crucial factor for improving the performance of Wireless Mesh Networks (WMN) since these networks are susceptible to many types of attacks. The existing assumption about the internal nodes in wireless mesh networks is that they cooperate well during the forwarding of packets all the time. However, it is not always true due to the presence of malicious and mistrustful nodes. Hence, it is essential to establish a secure, reliable and stable route between a source node and a destination node in WMN. In this paper, a trust based secure routing algorithm is proposed for enhancing security and reliability of WMN, which contains cross layer and subject logic based reliable reputation scheme with security tag model for providing effective secured routing. This model uses only the trusted nodes with the forwarding reliability of data transmission and it isolates the malicious nodes from the providing path. Moreover, every node in this model is assigned with a security tag that is used for efficient authentication. Thus, by combining authentication, trust and subject logic, the proposed approach is capable of choosing the trusted nodes effectively to participate in forwarding the packets of trustful peer nodes successfully. The simulation results obtained from this work show that the proposed routing protocol provides optimal network performance in terms of security and packet delivery ratio.

The Effect of E-commerce Platform Seller Signals on Revenue: Focusing on the Moderating Effect of Keyword Specificity (e-커머스 플랫폼 판매자 신호가 수익에 미치는 영향: 키워드 구체성의 조절 효과를 중심으로)

  • Jungwon Lee;Jaehyun You
    • Information Systems Review
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    • v.25 no.2
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    • pp.103-123
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    • 2023
  • One of the valid perspectives in the e-commerce platform literature is the seller signaling strategy in the information asymmetry situation. In this study, a research model was constructed based on signaling theory and shopping goal theory to systematically explore the effects of a seller's signaling strategy on consumer decision-making. Specifically, the study examined whether the signaling effects (i.e., reputation, electronic word-of-mouth, price) provided by the seller differed based on consumers' shopping goals. For the empirical analysis, the Gaussian Copula method was employed, utilizing 26,246 data collected from Amazon, a leading e-commerce platform. The analysis revealed that the signals provided by the seller positively impacted sales, and this effect was moderated by consumers' shopping goals. Drawing on shopping goal theory, this study contributes to signaling theory and e-commerce literature by discovering differences in the effectiveness of a seller's signaling strategy based on the keywords input by consumers.

GRID BASED ENERGY EFFICIENT AND SECURED DATA TRANSACTION FOR CLOUD ASSISTED WSN-IOT

  • L. SASIREGA;C. SHANTHI
    • Journal of applied mathematics & informatics
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    • v.41 no.1
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    • pp.95-105
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    • 2023
  • To make the network energy efficient and to protect the network from malignant user's energy efficient grid based secret key sharing scheme is proposed. The cost function is evaluated to select the optimal nodes for carrying out the data transaction process. The network is split into equal number of grids and each grid is placed with certain number of nodes. The node cost function is estimated for all the nodes present in the network. Once the optimal energy proficient nodes are selected then the data transaction process is carried out in a secured way using malicious nodes filtration process. Therefore, the message is transmitted in a secret sharing method to the end user and this process makes the network more efficient. The proposed work is evaluated in network simulated and the performance of the work are analysed in terms of energy, delay, packet delivery ratio, and false detection ratio. From the result, we observed that the work outperforms the other works and achieves better energy and reduced packet rate.

Transaction Signing-based Authentication Scheme for Secure Distributed Spectrum Sensing in Cognitive Radio Networks (인지 라디오 네트워크의 안전한 분산 스펙트럼 센싱을 위한 트랜잭션 서명기법)

  • Kim, Tae Kyung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.7 no.3
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    • pp.75-83
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    • 2011
  • Cognitive radio (CR) technology is to maximize the spectrum utilization by allocating the unused spectrums to the unlicensed users. This technology enables the sharing of channels among secondary (unlicensed) and primary (licensed) users on a non-interference basis after sensing the vacant channel and as a result, it is possible to harness wireless frequency more efficiently. To enhance the accuracy of sensing, RDSS was suggested. It is a fusion mechanism based on the reputation of sensing nodes and WSPRT (weighted sequential probability ratio test). However, in RDSS, the execution number of WSPRT could increase according to the order of inputted sensing values, and the fast defense against the forged values is difficult. In this paper, we propose a transaction signing-based authentication scheme for secure distributed spectrum sensing to response the forged values. The validity of proposed scheme is provided by BAN logic.

Donation Expenses and Corporate Value: A Focus on the Corporate Governance Structure (기부금 지출과 기업 가치: 기업지배구조를 중심으로)

  • Kim, Soo-Jung;Kang, Shin-Ae
    • Journal of Distribution Science
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    • v.12 no.8
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    • pp.113-121
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    • 2014
  • Purpose - Recently, the number of corporations that practice environmental and social responsibility, besides engaging in traditional profit-seeking activities, has been growing steadily, as interest in Corporate Social Responsibility (CSR) is increasing. Recent research on CSR practices has identified the relationship between CSR activities and corporate value as one of the main issues in this respect. Considering that donations constitute a large proportion of a company's charitable activities, we considered the extent of donation expenses as a charitable activity in order to mitigate sample selection bias. Specifically, we analyzed the impact of donation expenses on firm value, while investigating if this impact varied in response to the level of corporate governance of firms. Research design, data, and methodology - We used non-financial firms listed on the Korean Stock Exchange, having their fiscal year end in December, and the sample period was 2006-2013. For the dependent variable, Tobin's q was used as the corporate value, and for the independent variable, donations were measured as the donation-expense-to-sales ratio. Corporate governance scores, as rated by the Korea Corporate Governance Service, were used to measure corporate governance levels because they consider the overall aspects of governance, including ownership structure, the board of directors, and the audit mechanism of individual companies. To examine the impact of donations on a company in relation to the level of corporate governance, we estimated regression models using the interaction terms of the governance dummy and donation variables. Then, we further estimated the regression models of two sub-samples that were classified according to the level of corporate governance. Similar to previous studies, the study uses variables that affect firm value, such as R&D expenditure, advertising expenses, EBITDA, debt-to-equity ratio, sales growth, company age, and company size as control variables. Results - The empirical results show that firm value significantly increased in response to an increase in donation expenses. Upon including the interaction terms of governance level dummy variables and donations, the coefficients of the interaction terms show significant positive values, while those of donation variables show significant negative values. In the strong governance sub-sample, the relationship between the donation expenses and corporate value was statistically positive (+) and significant. However, in the weak governance sub-sample, the relationship between the donation expenses and corporate value was statistically insignificant and negative (-). Conclusions - The empirical results suggest that donation expenses are significantly linked to an enhanced corporate value if firms have a good corporate governance structure. However, if the corporate governance structure is weak, the same relationship is not necessarily observed. The results of this study show that if a firm has high corporate governance, CSR practices enhance the company's reputation such that it has a positive (+) relationship with corporate value. If a firm has weak corporate governance, on the other hand, CSR practices are recognized as an agency cost and do not increase corporate value.

The Effects of Sentiment and Readability on Useful Votes for Customer Reviews with Count Type Review Usefulness Index (온라인 리뷰의 감성과 독해 용이성이 리뷰 유용성에 미치는 영향: 가산형 리뷰 유용성 정보 활용)

  • Cruz, Ruth Angelie;Lee, Hong Joo
    • Journal of Intelligence and Information Systems
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    • v.22 no.1
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    • pp.43-61
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    • 2016
  • Customer reviews help potential customers make purchasing decisions. However, the prevalence of reviews on websites push the customer to sift through them and change the focus from a mere search to identifying which of the available reviews are valuable and useful for the purchasing decision at hand. To identify useful reviews, websites have developed different mechanisms to give customers options when evaluating existing reviews. Websites allow users to rate the usefulness of a customer review as helpful or not. Amazon.com uses a ratio-type helpfulness, while Yelp.com uses a count-type usefulness index. This usefulness index provides helpful reviews to future potential purchasers. This study investigated the effects of sentiment and readability on useful votes for customer reviews. Similar studies on the relationship between sentiment and readability have focused on the ratio-type usefulness index utilized by websites such as Amazon.com. In this study, Yelp.com's count-type usefulness index for restaurant reviews was used to investigate the relationship between sentiment/readability and usefulness votes. Yelp.com's online customer reviews for stores in the beverage and food categories were used for the analysis. In total, 170,294 reviews containing information on a store's reputation and popularity were used. The control variables were the review length, store reputation, and popularity; the independent variables were the sentiment and readability, while the dependent variable was the number of helpful votes. The review rating is the moderating variable for the review sentiment and readability. The length is the number of characters in a review. The popularity is the number of reviews for a store, and the reputation is the general average rating of all reviews for a store. The readability of a review was calculated with the Coleman-Liau index. The sentiment is a positivity score for the review as calculated by SentiWordNet. The review rating is a preference score selected from 1 to 5 (stars) by the review author. The dependent variable (i.e., usefulness votes) used in this study is a count variable. Therefore, the Poisson regression model, which is commonly used to account for the discrete and nonnegative nature of count data, was applied in the analyses. The increase in helpful votes was assumed to follow a Poisson distribution. Because the Poisson model assumes an equal mean and variance and the data were over-dispersed, a negative binomial distribution model that allows for over-dispersion of the count variable was used for the estimation. Zero-inflated negative binomial regression was used to model count variables with excessive zeros and over-dispersed count outcome variables. With this model, the excess zeros were assumed to be generated through a separate process from the count values and therefore should be modeled as independently as possible. The results showed that positive sentiment had a negative effect on gaining useful votes for positive reviews but no significant effect on negative reviews. Poor readability had a negative effect on gaining useful votes and was not moderated by the review star ratings. These findings yield considerable managerial implications. The results are helpful for online websites when analyzing their review guidelines and identifying useful reviews for their business. Based on this study, positive reviews are not necessarily helpful; therefore, restaurants should consider which type of positive review is helpful for their business. Second, this study is beneficial for businesses and website designers in creating review mechanisms to know which type of reviews to highlight on their websites and which type of reviews can be beneficial to the business. Moreover, this study highlights the review systems employed by websites to allow their customers to post rating reviews.