Evaluation of Data Quality: A Cryptographic Approach

被引:0
作者
Yanes Pavon, Jessica [1 ]
Sepulveda Lima, Roberto [1 ]
Diaz Pando, Humberto [1 ]
机构
[1] Univ Tecnol La Habana Jose Antonio Echeverria, CUJAE, Havana, Cuba
来源
COMPUTACION Y SISTEMAS | 2019年 / 23卷 / 02期
关键词
Data quality; quality assessment; data integrity;
D O I
10.13053/CyS-23-2-2899
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The computer systems are a key point for decision making in any company that intends to be competitive. This is because these systems are based on the management of data by generating useful information in the decision-making process. In this context, it is necessary that the information generated comes from data with the appropriate quality, being integrity one of the most relevant attributes. Diverse approaches and methods have been studied in the bibliography, which pursue as fundamental objectives to identify the scenarios where problems can be triggered in the quality of the data, as well as to define methods and mechanisms to guarantee and measure it. However, the scenario where quality is affected due to security threats is not taken into account in the analyzed works. The article is based on the general criteria of safety as an attribute of quality of any computer system, particularizing in a data security approach as an attribute of the quality of these. The main contribution lies in the definition of a new security context in which data quality problems can arise. A resistant method to attacks is proposed to measure the quality of the data, based on cryptographic mechanisms. In addition, an analysis is made of the incidence of the proposed method in the response times of the system. The results obtained in the experimentation show that the increases of the times are not significant, so they do not appreciably affect the system availability.
引用
收藏
页码:557 / 568
页数:12
相关论文
共 50 条
  • [41] Big data quality framework: a holistic approach to continuous quality management
    Ikbal Taleb
    Mohamed Adel Serhani
    Chafik Bouhaddioui
    Rachida Dssouli
    Journal of Big Data, 8
  • [42] An automated data verification approach for improving data quality in a clinical registry
    Tian, Qi
    Liu, Mengzhou
    Min, Lingtong
    An, Jiye
    Lu, Xudong
    Duan, Huilong
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2019, 181
  • [43] Taking a ‘Big Data’ approach to data quality in a citizen science project
    Steve Kelling
    Daniel Fink
    Frank A. La Sorte
    Alison Johnston
    Nicholas E. Bruns
    Wesley M. Hochachka
    Ambio, 2015, 44 : 601 - 611
  • [44] A process approach to quality management doubles NEON sensor data quality
    Sturtevant, Cove
    DeRego, Elizabeth
    Metzger, Stefan
    Ayres, Edward
    Allen, Dan
    Burlingame, Teresa
    Catolico, Nora
    Cawley, Kaelin
    Csavina, Janae
    Durden, David
    Florian, Christopher
    Frost, Shalane
    Gaddie, Ross
    Knapp, Elizabeth
    Laney, Christine
    Lee, Robert
    Lenz, Dawn
    Litt, Guy
    Luo, Hongyan
    Roberti, Joshua
    Slemmons, Caleb
    Styers, Kevin
    Tran, Chau
    Vance, Tanya
    SanClements, Michael
    METHODS IN ECOLOGY AND EVOLUTION, 2022, 13 (09): : 1849 - 1865
  • [45] Data measurement in research information systems: metrics for the evaluation of data quality
    Azeroual, Otmane
    Saake, Gunter
    Wastl, Jurgen
    SCIENTOMETRICS, 2018, 115 (03) : 1271 - 1290
  • [46] Taking a 'Big Data' approach to data quality in a citizen science project
    Kelling, Steve
    Fink, Daniel
    La Sorte, Frank A.
    Johnston, Alison
    Bruns, Nicholas E.
    Hochachka, Wesley M.
    AMBIO, 2015, 44 : S601 - S611
  • [47] Data measurement in research information systems: metrics for the evaluation of data quality
    Otmane Azeroual
    Gunter Saake
    Jürgen Wastl
    Scientometrics, 2018, 115 : 1271 - 1290
  • [48] Data and Process Quality Evaluation in a Textual Big Data Archiving System
    Fugini, Mariagrazia
    Finocchi, Jacopo
    ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE, 2022, 15 (01):
  • [49] Renal replacement therapy registries-time for a structured data quality evaluation programme
    Couchoud, Cecile
    Lassalle, Mathilde
    Cornet, Ronald
    Jager, Kitty J.
    NEPHROLOGY DIALYSIS TRANSPLANTATION, 2013, 28 (09) : 2215 - 2220
  • [50] Open Data Quality Evaluation: A Comparative Analysis of Open Data in Latvia
    Nikiforova, Anastasija
    BALTIC JOURNAL OF MODERN COMPUTING, 2018, 6 (04): : 363 - 386