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A key-insulated CP-ABE with key exposure accountability for secure data sharing in the cloud

  • Hong, Hanshu;Sun, Zhixin;Liu, Ximeng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.5
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    • pp.2394-2406
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    • 2016
  • ABE has become an effective tool for data protection in cloud computing. However, since users possessing the same attributes share the same private keys, there exist some malicious users exposing their private keys deliberately for illegal data sharing without being detected, which will threaten the security of the cloud system. Such issues remain in many current ABE schemes since the private keys are rarely associated with any user specific identifiers. In order to achieve user accountability as well as provide key exposure protection, in this paper, we propose a key-insulated ciphertext policy attribute based encryption with key exposure accountability (KI-CPABE-KEA). In our scheme, data receiver can decrypt the ciphertext if the attributes he owns match with the self-centric policy which is set by the data owner. Besides, a unique identifier is embedded into each user's private key. If a malicious user exposes his private key for illegal data sharing, his identity can be exactly pinpointed by system manager. The key-insulation mechanism guarantees forward and backward security when key exposure happens as well as provides efficient key updating for users in the cloud system. The higher efficiency with proved security make our KI-CPABE-KEA more appropriate for secure data sharing in cloud computing.

A Technique to Improve the Fit of Linear Regression Models for Successive Sets of Data

  • Park, Sung H.
    • Journal of the Korean Statistical Society
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    • v.5 no.1
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    • pp.19-28
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    • 1976
  • In empirical study for fitting a multiple linear regression model for successive cross-sections data observed on the same set of independent variables over several time periods, one often faces the problem of poor $R^2$, the multiple coefficient of determination, which provides a standard measure of how good a specified regression line fits the sample data.

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A Comparison of NLSY and CPS Data

  • Jo, Yoon-Ae
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.3
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    • pp.851-859
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    • 2006
  • The family income distributions of NLSY97 and CPS youth data are compared by using the generalized beta distribution of the second kind. The null hypothesis that the two data sets represent the same underlying population is rejected. The ML estimation suggests that NLSY97 data are oversampled in an income group of $11,308 or less, by about 15.7% compared to CPS data.

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Arc/Line Segments-based SLAM by Updating Accumulated Sensor Data (누적 센서 데이터 갱신을 이용한 아크/라인 세그먼트 기반 SLAM)

  • Yan, Rui-Jun;Choi, Youn-sung;Wu, Jing;Han, Chang-soo
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.10
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    • pp.936-943
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    • 2015
  • This paper presents arc/line segments-based Simultaneous Localization and Mapping (SLAM) by updating accumulated laser sensor data with a mobile robot moving in an unknown environment. For each scan, the sensor data in the set are stored by a small constant number of parameters that can recover the necessary information contained in the raw data of the group. The arc and line segments are then extracted according to different limit values, but based on the same parameters. If two segments, whether they are homogenous features or not, from two scans are matched successfully, the new segment is extracted from the union set with combined data information obtained by means of summing the equivalent parameters of these two sets, not combining the features directly. The covariance matrixes of the segments are also updated and calculated synchronously employing the same parameters. The experiment results obtained in an irregular indoor environment show the good performance of the proposed method.

An Optimal ILP Scheduling Algorithm on Linear Data-Flow Graph for Multiprocessor Design (멀티프로세서 설계를 위한 Linear Data-Row Graph의 최적화 ILP 알고리즘)

  • Kim Ki-Bog;Lin Chi-Ho
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.42 no.6 s.336
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    • pp.49-58
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    • 2005
  • In this paper, we propose an optimal ILP scheduling algorithm for multiprocessor design on LDFG(Linear Data-Flow Graph) that can be represented by homogeneous synchronous data-flow. The proposed computation in this paper does not contain data-dependent, all scheduling decisions for such algorithms can be taken at compile time, only fully static overlapped schedules are considered. It means that all linear have the same schedule and the same processor assignment. In this paper, the resource-constrained problem is addressed, for the LDFG optimization for multiprocessor design problem formulating ILP solution available to provide optimal solution. The results show that the scheduling method is able to find good quality schedules in reasonable time.

Comparison of Topex/Poseidon sea surface heights and Tide Gauge sea levels in the South Indian Ocean

  • Yoon, Hong-Joo
    • Proceedings of the KSRS Conference
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    • 1998.09a
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    • pp.70-75
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    • 1998
  • The comparison of Topex/Poseidon sea surface heights and Tide Gauge sea levels was studied in the South Indian Ocean after Topex/Poseidon mission of about 3 years (11- 121 cycles) from January 1993 through December 1995. The user's handbook (AVISO) for sea surface height data process was used in this study Topex/Poseidon sea suface heights ($\zeta$$^{T/P}$), satellite data at the point which is very closed to Tide Gauge station, were chosen in the same latitude of Tide Gauge station. These data were re-sampled by a linear interpolation with the interval of about 10 days, and were filtered by the gaussian filter with a 60 day-window. Tide Gauge sea levels ($\zeta$$^{Argos}$, $\zeta$$^{In-situ}$ and $\zeta$$^{Model}$), were also treated with the same method as satellite data. The main conclusions obtained from the root-mean-square and correlation coefficient were as follows: 1) to Produce Tide Gauge sea levels from bottom pressure, in-situ data of METEO-FRANCE showed very good values against to the model data of ECMWF and 2) to compare Topex/Poseidon sea surface heights of Tide Gauge sea levels, the results of the open sea areas were better than those of the coast and island areas.

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A Study on Information Exchange Scheme for Reliability in the Wireless Multicasting (무선 멀티캐스팅에서 신뢰성을 위한 정보 교환 기법에 관한 연구)

  • Im, Ji-Yeong;Jeong, Tae-Myeong
    • The KIPS Transactions:PartC
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    • v.9C no.2
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    • pp.247-256
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    • 2002
  • In a wireless multicasting when a mobile host moves to the new bate station being in the same multicast group it needs to exchange information about data delivery between base stations to receive data from the new base station at once. However it is inefficient to use the existence schemes because it takes too much time to exchange information and many overheads. The next, a mobile host moving to the base station not being in the same multicast group, the old base station will pre-forward data to neighboring base stations to avoid transmission delay. However, if other mobile hosts move at short interval, the old base station may retransmit the same data to the same neighboring base stations. In this paper we proposed called Information Exchange Scheme (IES). In IES in the same multicast grope the base stations exchange information locally so it takes the minimum time and overheads to use IES. Also in IES the neighboring base stations delay to delete data for continuous moving of other MHs. We also present how our scheme is efficient by producing cost ad simulating.

A Study of Combined Splitting Rules in Regression Trees

  • Lee, Yung-Seop
    • Journal of the Korean Data and Information Science Society
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    • v.13 no.1
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    • pp.97-104
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    • 2002
  • Regression trees, a technique in data mining, are constructed by splitting function-a independent variable and its threshold. Lee (2002) considered one-sided purity (OSP) and one-sided extreme (OSE) splitting criteria for finding a interesting node as early as possible. But these methods cannot be crossed each other in the same tree. They are just concentrated on OSP or OSE separately in advance. In this paper, a new splitting method, which is the combination and extension of OSP and OSE, is proposed. By these combined criteria, we can select the nodes by considering both pure and extreme in the same tree. These criteria are not the generalized one of the previous criteria but another option depending on the circumstance.

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DEVELOPMENT OF A PRE_ AND POST_ PROCESSOR FOR STRUCTURAL ANALYSIS USING A RELATIONAL DATABASE MANAGING SYSTEM (관계형 데이터베이스를 이용하는 구조해석 전후처리기의 개발)

  • 이대희;이호재;이정재
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 1998.10a
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    • pp.176-179
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    • 1998
  • In structural analysis using FEM or BEM, pre_ and post_processor is necessary pre_ and post_processor and analyzer use same structural model. But many other tasks related to structural design, such as optimization, design of layout, etc, do not share that model in spite of their resemblance of requiring data. So, a pre_ and post_ processor was developed using a relational database managing system. Developed system uses the DBMS as a data storage and interacts with it using SQL interface. In this way, many other tasks that uses same structural data can be developed.

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Design of the Schematic Eye of Koreans using the Clinical data (한국인 안구의 임상자료를 통한 모형안 설계)

  • Kim, Bonghwan;Kim, Sejin;Lim, Hyeonseon;Ji, Taeksang
    • Journal of Korean Ophthalmic Optics Society
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    • v.9 no.1
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    • pp.117-124
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    • 2004
  • In this paper, we took the clinical data of Korean eyes and designed the schematic eye with the same optical properties of the real eye. In the design process, we took the clinical emmetorpia data of young Korean adults collected in the past and analyzed to get a basic specification of the real eye for the design of schematic eye. The purpose of design was for the schematic eye to have the same optical properties of real eye in spherical aberration and astigmatism.

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