• Title/Summary/Keyword: Cost-sharing

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Broadcast Encryption System Using Secret Sharing and Subset Difference Methods (비밀분산 기법과 Subset Difference 기법을 이용한 브로드캐스트 암호시스템)

  • Lee, Jae Hwan;Park, Jong Hwan
    • Journal of Broadcast Engineering
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    • v.20 no.1
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    • pp.92-109
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    • 2015
  • Broadcast encryption is a cryptographic primitive that allows a sender to securely broadcast a message to a set of receivers. The most influential broadcast encryption system was proposed in 2001 by Naor, Naor, Lotspiech, based on a pseudo-random generator and the Subset Difference (SD) method. In this paper, we suggest a new broadcast encryption system that is based on secret sharing and SD methods. On an efficiency aspect, our system achieves O(r) transmission cost, O($log^2n$) storage cost, and O(1) computational cost for the number n of users and the number r of revoked users. Compared to O(log n) computational cost in the previous SD method, our system has the advantage that it needs only constant-sized computational cost for decryption, regardless of the number n or r. On a security aspect, our system can achieve tighter security reduction than the previous SD method and the gap of security loss is about O(n log n). Moreover, our result shows that it is possible to give the effect of the SD method while using an information-theoretically secure key distribution technique as in the Complete Subtree method.

A Heuristic Time Sharing Policy for Backup Resources in Cloud System

  • Li, Xinyi;Qi, Yong;Chen, Pengfei;Zhang, Xiaohui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.7
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    • pp.3026-3049
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    • 2016
  • Cloud computing promises high performance and cost-efficiency. However, most cloud infrastructures operate at a low utilization, which greatly adheres cost effectiveness. Previous works focus on seeking efficient virtual machine (VM) consolidation strategies to increase the utilization of virtual resources in production environment, but overlook the under-utilization of backup virtual resources. We propose a heuristic time sharing policy of backup VMs derived from the restless multi-armed bandit problem. The proposed policy achieves increasing backup virtual resources utilization and providing high availability. Both the results in simulation and prototype system experiments show that the traditional 1:1 backup provision can be extended to 1:M (M≫1) between the backup VMs and the service VMs, and the utilization of backup VMs can be enhanced significantly.

MobPrice: Dynamic Data Pricing for Mobile Communication

  • Padhariya, Nilesh;Raichura, Kshama
    • Journal of information and communication convergence engineering
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    • v.13 no.2
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    • pp.86-96
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    • 2015
  • In mobile communication, mobile services [MSs] (e.g., phone calls, short/multimedia messages, and Internet data) incur a cost to both mobile users (MUs) and mobile service providers (MSPs). The proposed model MobPrice consists of dynamic data pricing schemes for mobile communication in order to achieve optimal usage of MSs at minimal prices. MobPrice inspires MUs to subscribe MSs with flexibility of data sharing and intra-peer exchanges, thereby reducing overall cost. The main contributions of MobPrice are three-fold. First, it proposes a novel k-level data-pricing (kDP) scheme for MSs. Second, it extends the kDP scheme with the notion of service-sharing-based pricing schemes to a collaborative peer-to-peer data-pricing (pDP) scheme and a cluster-based data-pricing (cDP) scheme to incorporate the notion of 'cluster' (made up of two or more MUs) in mobile communication. Third, our performance study shows that the proposed schemes are indeed effective in maximizing MS subscriptions and minimizing MS's price/user.

Role Based Smart Contract For Data sharing

  • Joachim, Kweka Bruno;Rhee, Kyung-Hyune
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.235-237
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    • 2018
  • The Internet has allowed many things to move fast, including sharing of data, files and others within a second. Many domains use applications range from IoT, smart cities, healthcare, and organizations to share the data when necessary. However, there are some challenges faced by existing systems that works on centralized nature. Such challenges are data breach, trustiness issue, unauthorized access and data fraud. Therefore in this work, we focus on using a smart contract which is used by blockchain platform and works on decentralized form. Furthermore, in this work our contract provides an access to the file uploaded onto the decentralized storage such as IPFS. By leveraging smart contract-role based which consist of a contract owner who can manage the users when access the certain resources such as a file and as well as use of decentralized storage to avoid single point of failure and censorship over secure communication channel. We checked the gas cost of the smart contract since most of contracts tends to be a high cost.

Adapted GSS Load Sharing Algorithm for Heterogeneous Cluster (이기종 클러스터를 위한 수정된 GSS 부하 분할 알고리즘)

  • Goo, Bon-geun
    • The KIPS Transactions:PartA
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    • v.10A no.4
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    • pp.331-338
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    • 2003
  • Cluster is the cost-effective parallel processing environment, and consists of the off-the-shelf computers connected by the computer net works. The characteristics of cluster are the node heterogeneity, the variety of node load, and the variety of network load. Because these characteristics influence the performance of parallel program executions, the load sharing for cluster is important, and by using the proper load sharing strategy, we can reduce the execution time of parallel programs. In this paper, we propose modified GSS algorithm, αGSS. In the proposed load sharing algorithms α GSS, the size of tasks are decided using the BogoMIPS of node. From the result of out experiments, we conclude that the proposed αGSS algorithm is effective in the heterogeneous cluster.

A Study on Optimal Electric Load Distribution and Generator Operating Mode Using Dynamic Programming (동적계획법을 이용한 발전기의 운전모드 및 최적부하 배분에 관한 연구)

  • H-H Yoo
    • Journal of Advanced Marine Engineering and Technology
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    • v.26 no.3
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    • pp.313-319
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    • 2002
  • Since the oil crisis in 1970, a great deal of effort has been made to develop automatic electric load sharing systems as a part of the efforts to save energy. A large scale electric generating system composes more than two generators whose characteristics may be different. When such a system is operated individually or in parallel, the lagrange multiplier's method has difficulty in achieving optimal load distribution because generators usually have the limitations of the operating range with inequality constraints. Therefore, a suitable operating mode of generators has to be decided according to the selection of the generators to meet electric power requirements at the minimum cost. In this study, a method which solves the optimal electric load distribution problem using the dynamic programming technique is proposed. This study also shows that the dynamic programming method has an advantage in dealing with the optimal load distribution problem under the limitations of the operating range with inequality constraints including generator operation mode. In this study, generator operating cost curve of second order equation by shop trial test results of diesel generators are used. The results indicate that the proposed method can be applied to the ship's electric generating system.

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.

The Effect of Private Health Insurance on the Subjective Burden of Medical Expenses (민간의료보험 가입 여부가 본인부담 진료비의 주관적 부담 수준에 미치는 영향)

  • Hong, Jin Hyuk;Noh, Jin-Won;Park, Kisoo;Lee, Yejin;Kwon, Young Dae
    • The Journal of the Korea Contents Association
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    • v.17 no.6
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    • pp.63-70
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    • 2017
  • Although the National Health Insurance, many people sign up for private health insurance to alleviate their financial burden. In this study, we analyzed the relationship between private health insurance and subjective financial burden about cost sharing. To confirm the effect we conducted the binary logistic regression by utilizing the Health Care Policy related to public survey. The private health insurance have a significantly association with the subjective financial burden about cost sharing. People who uninsured to purchase private health insurance were more likely to have the burden. Therefore, given the low participation rate of private medical insurance for high age and low income group, we suggest the need for redefining the role of private insurance to enhance the function and resolve equity issues to prepare for the burden.

Effect of Expanding Benefit Coverage for Cancer Patients on Equity in Health Care Utilization and Catastrophic Expenditure (암 질환 대상 산정특례제도가 의료이용 및 의료비 부담 형평성에 미친 영향)

  • Kim, Ji Hye;Kim, Su Jin;Kwon, Soon Man
    • Health Policy and Management
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    • v.24 no.3
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    • pp.228-241
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    • 2014
  • Background: The purpose of this study is to evaluate the effect of health insurance coverage expansion for cancer patients on equity in health care utilization and catastrophic expenditure. Methods: To analyze the causal relationship between the policy to expand benefit coverage and the change in health care utilization and out-of-pocket payments of cancer patients, this study employed a difference-in-differences (DID) method. In the DID model, the change in health care utilization, such as health care expenditure, visit days and length of stay, of cancer patients was compared with that of liver disease patients, using Korea Health Panel Data in 2009 and 2010. Results: The policy of reducing cost sharing from 10% to 5% for cancer patients did not have significant effects on equity in health care utilization. The results of this study were different from those of the previous study that showed that the reduction of cost sharing from 20% to 10% significantly improved the equity in health care utilization of cancer patients. In addition, the result of catastrophic expenditures analysis showed the policy did not change the probability of catastrophic expenditures. Conclusion: The results of this study imply that payment for non-covered services account for high out-of-pocket payments, and the reduction in cost sharing for covered services alone may have a limited effect on total financial burden on patients.

Modeling and Simulation of Electric Vehicle Sharing System for Optimized Operation (전기차 카셰어링 시스템 최적화를 위한 모델링 및 시뮬레이션)

  • Seo, Yong Won
    • Journal of the Korea Society for Simulation
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    • v.25 no.4
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    • pp.93-108
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    • 2016
  • Electric vehicle car sharing (EV-sharing) system is noted as an eco-friendly system of transportation in global warming crisis and has been practically implemented in some cities around the world. However, methodologies to find the efficient operation conditions of EV-sharing systems reflecting a typical characteristic 'charging' have not been fully investigated yet. In the paper a generalized model has been developed to identify optimal level of infrastructure for EV-sharing system which provides the optimum operation efficiency under service level constraints. From the simulation analysis based on the developed model the relationships between the operational variables to describe EV-sharing system have been identified and optimal capacity to maximize the operational efficiency have been found. From the analysis of simulation results it has been found that increases in the number of vehicles and chargers improve the service level until certain value beyond which increasing rate and the efficiency have been reduced. From the cost-revenue analysis the optimal numbers of vehicles and chargers have been identified which maximizes the annual operational profit.