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Artículos de revistas sobre el tema "Sensitive information"

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Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 20 de febrero de 2023

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1

SIVÁK, Jaroslav. "SENSITIVE INFORMATION". Krízový Manažment 14, n.º 1 (30 de marzo de 2015): 23–29. http://dx.doi.org/10.26552/krm.c.2015.1.23-29.

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2

Nicklisch, Andreas, Kristoffel Grechenig y Christian Thöni. "Information-sensitive Leviathans". Journal of Public Economics 144 (diciembre de 2016): 1–13. http://dx.doi.org/10.1016/j.jpubeco.2016.09.008.

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3

PRICE, LINDA L., LAWRENCE F. FEICK y ROBIN A. HIGIE. "Information Sensitive Consumers and Market Information". Journal of Consumer Affairs 21, n.º 2 (diciembre de 1987): 328–41. http://dx.doi.org/10.1111/j.1745-6606.1987.tb00206.x.

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4

NAWA, Kotaro. "Sensitive, but unclassified information". Journal of Information Processing and Management 48, n.º 4 (2005): 243–44. http://dx.doi.org/10.1241/johokanri.48.243.

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5

Vernon;, D. P. "Sensitive Versus Classified Information". Science 306, n.º 5697 (29 de octubre de 2004): 811e—812e. http://dx.doi.org/10.1126/science.306.5697.811e.

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6

Conley, Sharon. "Keeping Sensitive Information Private". NASNewsletter 22, n.º 4 (julio de 2007): 21. http://dx.doi.org/10.1177/104747570702200407.

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7

Jaswal, S. K. y T. Harpham. "Getting Sensitive Information on Sensitive Issues: Gynaecological Morbidity". Health Policy and Planning 12, n.º 2 (1 de enero de 1997): 173–78. http://dx.doi.org/10.1093/heapol/12.2.173.

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8

Besorai, Ahal. "Tentative Information, Inside Information, Price‐sensitive Information and Materiality". Journal of Financial Crime 3, n.º 3 (enero de 1996): 268–71. http://dx.doi.org/10.1108/eb025719.

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9

INAMURA, Tomoaki y Haruki MADARAME. "ICONE15-10612 Control of Information Relating to Sensitive Nuclear Technology (DRAFT^*)". Proceedings of the International Conference on Nuclear Engineering (ICONE) 2007.15 (2007): _ICONE1510. http://dx.doi.org/10.1299/jsmeicone.2007.15._icone1510_334.

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10

Su, Linping y Zhipeng Liu. "A T-similarity Sensitive Information Protection Method Based on Sensitive Information Gradient Partition". Journal of Physics: Conference Series 2030, n.º 1 (1 de septiembre de 2021): 012059. http://dx.doi.org/10.1088/1742-6596/2030/1/012059.

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11

Song, D. y P. D. Bruza. "Towards context sensitive information inference". Journal of the American Society for Information Science and Technology 54, n.º 4 (2003): 321–34. http://dx.doi.org/10.1002/asi.10213.

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12

Bernstein, Adam. "Keeping business-sensitive information safe". Nursing and Residential Care 25, n.º 1 (2 de enero de 2023): 1–3. http://dx.doi.org/10.12968/nrec.2022.0061.

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13

Rajamäki, Jyri, Ilkka Tikanmäki y Jari Räsänen. "CISE as a Tool for Sharing Sensitive Cyber Information in Maritime Domain". Information & Security: An International Journal 43, n.º 2 (2019): 215–35. http://dx.doi.org/10.11610/isij.4317.

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14

Martínez, V. Gayoso, L. Hernández Encinas, A. Queiruga Dios, A. Hernández Encinas y J. Martín Vaquero. "Avoiding Sensitive Information Leakage in Moodle". Literacy Information and Computer Education Journal Special 2, n.º 2 (1 de septiembre de 2013): 1422–32. http://dx.doi.org/10.20533/licej.2040.2589.2013.0190.

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15

WALTER, CATHY M. "How biometrics keep sensitive information secure". Nursing 35, n.º 5 (mayo de 2005): 76. http://dx.doi.org/10.1097/00152193-200505000-00058.

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16

Chou, Winston, Kosuke Imai y Bryn Rosenfeld. "Sensitive Survey Questions with Auxiliary Information". Sociological Methods & Research 49, n.º 2 (11 de diciembre de 2017): 418–54. http://dx.doi.org/10.1177/0049124117729711.

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Scholars increasingly rely on indirect questioning techniques to reduce social desirability bias and item nonresponse for sensitive survey questions. The major drawback of these approaches, however, is their inefficiency relative to direct questioning. We show how to improve the statistical analysis of the list experiment, randomized response technique, and endorsement experiment by exploiting auxiliary information on the sensitive trait. We apply the proposed methodology to survey experiments conducted among voters in a controversial antiabortion referendum held during the 2011 Mississippi General Election. By incorporating the official county-level election results, we obtain precinct- and individual-level estimates that are more accurate than standard indirect questioning estimates and occasionally even more efficient than direct questioning. Our simulation studies shed light on the conditions under which our approach can improve the efficiency and robustness of estimates based on indirect questioning techniques. Open-source software is available for implementing the proposed methodology.
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17

Wu, Jimmy Ming-Tai, Gautam Srivastava, Alireza Jolfaei, Philippe Fournier-Viger y Jerry Chun-Wei Lin. "Hiding sensitive information in eHealth datasets". Future Generation Computer Systems 117 (abril de 2021): 169–80. http://dx.doi.org/10.1016/j.future.2020.11.026.

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18

Lamming, Richard, Nigel Caldwell, Wendy Phillips y Deborah Harrison. "Sharing Sensitive Information in Supply Relationships:". European Management Journal 23, n.º 5 (octubre de 2005): 554–63. http://dx.doi.org/10.1016/j.emj.2005.09.010.

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19

Stolfo, Salvatore J. y Gene Tsudik. "Privacy-Preserving Sharing of Sensitive Information". IEEE Security & Privacy Magazine 8, n.º 4 (julio de 2010): 16–17. http://dx.doi.org/10.1109/msp.2010.135.

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20

Murphy, Daniel. "Disclosure and sharing of sensitive information". Journal of Financial Crime 13, n.º 4 (octubre de 2006): 420–41. http://dx.doi.org/10.1108/13590790610707555.

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21

Larson, David K. y Keith W. Miller. "When Sensitive IT Information Crosses Borders". IT Professional 11, n.º 4 (julio de 2009): 56–59. http://dx.doi.org/10.1109/mitp.2009.85.

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22

Beneš, Vaclav E. y Robert J. Elliott. "Finite Dimensional Risk Sensitive Information States". IFAC Proceedings Volumes 28, n.º 14 (junio de 1995): 429–34. http://dx.doi.org/10.1016/s1474-6670(17)46867-4.

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23

Tilling, Simon. "Access to commercially sensitive environmental information". ERA Forum 14, n.º 4 (29 de noviembre de 2013): 493–506. http://dx.doi.org/10.1007/s12027-013-0329-5.

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24

Athitsos, Vassilis, Marios Hadjieleftheriou, George Kollios y Stan Sclaroff. "Query-sensitive embeddings". ACM Transactions on Database Systems 32, n.º 2 (junio de 2007): 8. http://dx.doi.org/10.1145/1242524.1242525.

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25

Hammer, Christian y Gregor Snelting. "Flow-sensitive, context-sensitive, and object-sensitive information flow control based on program dependence graphs". International Journal of Information Security 8, n.º 6 (27 de junio de 2009): 399–422. http://dx.doi.org/10.1007/s10207-009-0086-1.

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26

Bedford, Andrew, Stephen Chong, Josée Desharnais, Elisavet Kozyri y Nadia Tawbi. "A progress-sensitive flow-sensitive inlined information-flow control monitor (extended version)". Computers & Security 71 (noviembre de 2017): 114–31. http://dx.doi.org/10.1016/j.cose.2017.04.001.

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27

Tsuchiya, Ryuji, Akihiko Matsuoka, Takahiko Ogino, Kouich Goto, Toshiro Nakao y Hajime Takebayashi. "Location-sensitive Itinerary-based Passenger Information System". IEEJ Transactions on Industry Applications 125, n.º 4 (2005): 338–47. http://dx.doi.org/10.1541/ieejias.125.338.

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28

Barachevsky, Valery A., Yury P. Strokach, Yury A. Puankov, Olga I. Kobeleva, Tatyana M. Valova, Konstantin S. Levchenko, Vladimir N. Yaroshenko y Michail M. Krayushkin. "Light-sensitive heterocyclic compounds for information nanotechnologies". Arkivoc 2009, n.º 9 (21 de junio de 2008): 70–95. http://dx.doi.org/10.3998/ark.5550190.0010.906.

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29

Sridhar, Aparna, Rosibel Hernandez y Erin Duffy. "Primary Sources of Sensitive Reproductive Health Information". Obstetrics & Gynecology 127 (mayo de 2016): 115S. http://dx.doi.org/10.1097/01.aog.0000483473.31199.7a.

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30

Ford, Carol A., Susan G. Millstein, Bonnie Halpern-Felsher y Charles E. Irwin. "Confidentiality and adolescents' disclosure of sensitive information". Journal of Adolescent Health 18, n.º 2 (febrero de 1996): 111. http://dx.doi.org/10.1016/1054-139x(96)00011-0.

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31

Guo, Yongyan, Jiayong Liu, Wenwu Tang y Cheng Huang. "Exsense: Extract sensitive information from unstructured data". Computers & Security 102 (marzo de 2021): 102156. http://dx.doi.org/10.1016/j.cose.2020.102156.

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32

Kim, Sung-Hwan, Nam-Uk Kim y Tai-Myoung Chung. "Study on sensitive information leakage vulnerability modeling". Kybernetes 44, n.º 1 (12 de enero de 2015): 77–88. http://dx.doi.org/10.1108/k-05-2014-0106.

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Purpose – The purpose of this paper is to provide a model for quantitatively analyzing the security profile of an organization’s IT environment. The model considers the security risks associated with stored data, as well as services and devices that can act as channels for data leakages. The authors propose a sensitive information (SI) leakage vulnerability model. Design/methodology/approach – Factors identified as having an impact on the security profile are identified, and scores are assigned based on detailed criteria. These scores are utilized by mathematical models that produce a vulnerability index, which indicates the overall security vulnerability of the organization. In this chapter, the authors verify the model result extracted from SI leakage vulnerability weak index by applying the proposed model to an actual incident that occurred in South Korea in January 2014. Findings – The paper provides vulnerability result and vulnerability index. They are depends on SI state in information systems. Originality/value – The authors identify and define four core variables related to SI leakage: SI, security policy, and leakage channel and value of SI. The authors simplify the SI leakage problem. The authors propose a SI leakage vulnerability model.
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33

Galobardes, Bruna y Stefaan Demarest. "Asking sensitive information: an example with income". Sozial- und Pr�ventivmedizin/Social and Preventive Medicine 48, n.º 1 (1 de marzo de 2003): 70–72. http://dx.doi.org/10.1007/s000380300008.

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34

Guo, Dongdan, Hao Sun, Tao Zhu y Chang Cai. "An Automated Recognition Model for Sensitive Information". Journal of Physics: Conference Series 1575 (junio de 2020): 012043. http://dx.doi.org/10.1088/1742-6596/1575/1/012043.

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35

Reeser, Linda Cherrey y Robert A. Wertkin. "Sharing Sensitive Student Information With Field Instructors". Journal of Social Work Education 33, n.º 2 (abril de 1997): 347–62. http://dx.doi.org/10.1080/10437797.1997.10778875.

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36

Rollestone, Giles. "Networked information services in context-sensitive environments". Interactions 11, n.º 2 (marzo de 2004): 67–69. http://dx.doi.org/10.1145/971258.971282.

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37

Tombros, Anastasios y C. J. van Rijsbergen. "Query-Sensitive Similarity Measures for Information Retrieval". Knowledge and Information Systems 6, n.º 5 (15 de enero de 2004): 617–42. http://dx.doi.org/10.1007/s10115-003-0115-8.

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38

Thompson, E. Dale y Michelle L. Kaarst-Brown. "Sensitive information: A review and research agenda". Journal of the American Society for Information Science and Technology 56, n.º 3 (2005): 245–57. http://dx.doi.org/10.1002/asi.20121.

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39

Bast, Holger, Christian W. Mortensen y Ingmar Weber. "Output-sensitive autocompletion search". Information Retrieval 11, n.º 4 (4 de marzo de 2008): 269–86. http://dx.doi.org/10.1007/s10791-008-9048-x.

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40

Mary A, Geetha, D. P. Acharjya y N. Ch S. N. Iyengar. "Improved Anonymization Algorithms for Hiding Sensitive Information in Hybrid Information System". International Journal of Computer Network and Information Security 6, n.º 6 (8 de mayo de 2014): 9–17. http://dx.doi.org/10.5815/ijcnis.2014.06.02.

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41

Maviglia, Saverio M., Catherine S. Yoon, David W. Bates y Gilad Kuperman. "KnowledgeLink: Impact of Context-Sensitive Information Retrieval on Clinicians' Information Needs". Journal of the American Medical Informatics Association 13, n.º 1 (enero de 2006): 67–73. http://dx.doi.org/10.1197/jamia.m1861.

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42

Dueck, Gunter. "Highly Sensitive!" Informatik-Spektrum 28, n.º 2 (abril de 2005): 151–57. http://dx.doi.org/10.1007/s00287-005-00475-4.

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43

Kim, Jeongeun, Howard Dubowitz, Elizabeth Hudson-Martin y Wendy Lane. "Comparison of 3 Data Collection Methods for Gathering Sensitive and Less Sensitive Information". Ambulatory Pediatrics 8, n.º 4 (julio de 2008): 255–60. http://dx.doi.org/10.1016/j.ambp.2008.03.033.

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44

Tsai, Cheng-Jung, Chien-I. Lee y Wei-Pang Yang. "An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams". Informatica 19, n.º 1 (1 de enero de 2008): 135–56. http://dx.doi.org/10.15388/informatica.2008.206.

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45

Collins, Maria D. D. y Christine L. Ferguson. "Context-Sensitive Linking". Serials Review 28, n.º 4 (diciembre de 2002): 267–82. http://dx.doi.org/10.1080/00987913.2002.10764759.

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46

Condliffe, Anna. "Freedom of Information: Exemptions for Confidential Information". Business Law Review 28, Issue 7 (1 de julio de 2007): 206–8. http://dx.doi.org/10.54648/bula2007034.

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The Information Tribunal has ruled in Derry City Council v The Information Commissioner that contracts are not protected by Freedom of Information Act exemption for confidential information. The case and this article provide important guidance on the scope of the exemptions for con.dential and commercially sensitive information.
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47

Cheng, Xian Yi, Wei Kang y Yu Guo. "An Algorithm of Network Sensitive Information Features Extracting". Applied Mechanics and Materials 556-562 (mayo de 2014): 3558–61. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3558.

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In the vast ocean of data, how people can learn from the best, to eliminate the dross, the Internet age has become a major issue, also facing great challenge for data processing, and it is the key to develop the national network economy. For sensitive information filtering time lag, low accuracy, poor self-adaptability to the Internet, Chinese text media (webpage, micro-blogging, forum, etc.) for the study, using the technology of the opinion mining and natural language processing, study of sensitive information feature extraction algorithm to reveal the interrelationship of sensitive information and sensitive dictionary, providing technical support for sensitive dictionary and sensitive information recognition.
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48

Oh, Jin-Kwan, Seh-La Oh, Kwang-Hoon Choi y Jin-Hee Yim. "A Study on Sensitive Information Filtering Requirements for Supporting Original Information Disclosure". Journal of Records Management & Archives Society of Korea 17, n.º 1 (28 de febrero de 2017): 51–71. http://dx.doi.org/10.14404/jksarm.2017.17.1.051.

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49

Jiang, Ying, Ming Jing, Jie Zeng, Feng Qi Shen, Du Lan Qi y Li Hua Wang. "LanguageTool Based Proofreading of Sensitive Chinese Political Information". Applied Mechanics and Materials 687-691 (noviembre de 2014): 2644–47. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.2644.

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Sensitive Chinese political information are partly monitored and controlled by Chinese mainstream media (newspaper, television, the Internet, etc.) and the National Security Agency as well as corresponding political authorities. However, Chinese media authorities still lack in a technology or some methods to detect and identify sensitive Chinese political information quickly and efficiently. Due to complexity of sensitive Chinese political information, it cannot be monitored by a list of keywords or a simple pattern matching. How to satisfy the demands of media institutions is one of the most important problems. The main purpose of this paper is to combine the redacting technology of Chinese grammar rules with sensitive Chinese political information in order to provide the LanguageTool XML rules suitable for monitoring sensitive Chinese political information.
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50

Kiran, Asha, Manimala Puri y S. Srinivasa. "Preserving Sensitive Information using Fuzzy C-Means Approach". International Journal of Computer Applications 181, n.º 10 (14 de agosto de 2018): 40–46. http://dx.doi.org/10.5120/ijca2018917656.

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