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Готові списки джерел за темами / Sensitive information / Статті в журналах

Щоб переглянути інші типи публікацій з цієї теми, перейдіть за посиланням: Sensitive information.

Статті в журналах з теми "Sensitive information"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 20 лютого 2023

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1

SIVÁK, Jaroslav. "SENSITIVE INFORMATION." Krízový Manažment 14, no. 1 (March 30, 2015): 23–29. http://dx.doi.org/10.26552/krm.c.2015.1.23-29.

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2

Nicklisch, Andreas, Kristoffel Grechenig, and Christian Thöni. "Information-sensitive Leviathans." Journal of Public Economics 144 (December 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, and ROBIN A. HIGIE. "Information Sensitive Consumers and Market Information." Journal of Consumer Affairs 21, no. 2 (December 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, no. 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, no. 5697 (October 29, 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, no. 4 (July 2007): 21. http://dx.doi.org/10.1177/104747570702200407.

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7

Jaswal, S. K., and T. Harpham. "Getting Sensitive Information on Sensitive Issues: Gynaecological Morbidity." Health Policy and Planning 12, no. 2 (January 1, 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, no. 3 (January 1996): 268–71. http://dx.doi.org/10.1108/eb025719.

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9

INAMURA, Tomoaki, and 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, and Zhipeng Liu. "A T-similarity Sensitive Information Protection Method Based on Sensitive Information Gradient Partition." Journal of Physics: Conference Series 2030, no. 1 (September 1, 2021): 012059. http://dx.doi.org/10.1088/1742-6596/2030/1/012059.

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11

Song, D., and P. D. Bruza. "Towards context sensitive information inference." Journal of the American Society for Information Science and Technology 54, no. 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, no. 1 (January 2, 2023): 1–3. http://dx.doi.org/10.12968/nrec.2022.0061.

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13

Rajamäki, Jyri, Ilkka Tikanmäki, and Jari Räsänen. "CISE as a Tool for Sharing Sensitive Cyber Information in Maritime Domain." Information & Security: An International Journal 43, no. 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, and J. Martín Vaquero. "Avoiding Sensitive Information Leakage in Moodle." Literacy Information and Computer Education Journal Special 2, no. 2 (September 1, 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, no. 5 (May 2005): 76. http://dx.doi.org/10.1097/00152193-200505000-00058.

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16

Chou, Winston, Kosuke Imai, and Bryn Rosenfeld. "Sensitive Survey Questions with Auxiliary Information." Sociological Methods & Research 49, no. 2 (December 11, 2017): 418–54. http://dx.doi.org/10.1177/0049124117729711.

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Анотація:

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, and Jerry Chun-Wei Lin. "Hiding sensitive information in eHealth datasets." Future Generation Computer Systems 117 (April 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, and Deborah Harrison. "Sharing Sensitive Information in Supply Relationships:." European Management Journal 23, no. 5 (October 2005): 554–63. http://dx.doi.org/10.1016/j.emj.2005.09.010.

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19

Stolfo, Salvatore J., and Gene Tsudik. "Privacy-Preserving Sharing of Sensitive Information." IEEE Security & Privacy Magazine 8, no. 4 (July 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, no. 4 (October 2006): 420–41. http://dx.doi.org/10.1108/13590790610707555.

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21

Larson, David K., and Keith W. Miller. "When Sensitive IT Information Crosses Borders." IT Professional 11, no. 4 (July 2009): 56–59. http://dx.doi.org/10.1109/mitp.2009.85.

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22

Beneš, Vaclav E., and Robert J. Elliott. "Finite Dimensional Risk Sensitive Information States." IFAC Proceedings Volumes 28, no. 14 (June 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, no. 4 (November 29, 2013): 493–506. http://dx.doi.org/10.1007/s12027-013-0329-5.

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24

Athitsos, Vassilis, Marios Hadjieleftheriou, George Kollios, and Stan Sclaroff. "Query-sensitive embeddings." ACM Transactions on Database Systems 32, no. 2 (June 2007): 8. http://dx.doi.org/10.1145/1242524.1242525.

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25

Hammer, Christian, and Gregor Snelting. "Flow-sensitive, context-sensitive, and object-sensitive information flow control based on program dependence graphs." International Journal of Information Security 8, no. 6 (June 27, 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, and Nadia Tawbi. "A progress-sensitive flow-sensitive inlined information-flow control monitor (extended version)." Computers & Security 71 (November 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, and Hajime Takebayashi. "Location-sensitive Itinerary-based Passenger Information System." IEEJ Transactions on Industry Applications 125, no. 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, and Michail M. Krayushkin. "Light-sensitive heterocyclic compounds for information nanotechnologies." Arkivoc 2009, no. 9 (June 21, 2008): 70–95. http://dx.doi.org/10.3998/ark.5550190.0010.906.

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29

Sridhar, Aparna, Rosibel Hernandez, and Erin Duffy. "Primary Sources of Sensitive Reproductive Health Information." Obstetrics & Gynecology 127 (May 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, and Charles E. Irwin. "Confidentiality and adolescents' disclosure of sensitive information." Journal of Adolescent Health 18, no. 2 (February 1996): 111. http://dx.doi.org/10.1016/1054-139x(96)00011-0.

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31

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

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32

Kim, Sung-Hwan, Nam-Uk Kim, and Tai-Myoung Chung. "Study on sensitive information leakage vulnerability modeling." Kybernetes 44, no. 1 (January 12, 2015): 77–88. http://dx.doi.org/10.1108/k-05-2014-0106.

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Анотація:

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, and Stefaan Demarest. "Asking sensitive information: an example with income." Sozial- und Pr�ventivmedizin/Social and Preventive Medicine 48, no. 1 (March 1, 2003): 70–72. http://dx.doi.org/10.1007/s000380300008.

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34

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

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35

Reeser, Linda Cherrey, and Robert A. Wertkin. "Sharing Sensitive Student Information With Field Instructors." Journal of Social Work Education 33, no. 2 (April 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, no. 2 (March 2004): 67–69. http://dx.doi.org/10.1145/971258.971282.

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37

Tombros, Anastasios, and C. J. van Rijsbergen. "Query-Sensitive Similarity Measures for Information Retrieval." Knowledge and Information Systems 6, no. 5 (January 15, 2004): 617–42. http://dx.doi.org/10.1007/s10115-003-0115-8.

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38

Thompson, E. Dale, and Michelle L. Kaarst-Brown. "Sensitive information: A review and research agenda." Journal of the American Society for Information Science and Technology 56, no. 3 (2005): 245–57. http://dx.doi.org/10.1002/asi.20121.

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39

Bast, Holger, Christian W. Mortensen, and Ingmar Weber. "Output-sensitive autocompletion search." Information Retrieval 11, no. 4 (March 4, 2008): 269–86. http://dx.doi.org/10.1007/s10791-008-9048-x.

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40

Mary A, Geetha, D. P. Acharjya, and 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, no. 6 (May 8, 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, and Gilad Kuperman. "KnowledgeLink: Impact of Context-Sensitive Information Retrieval on Clinicians' Information Needs." Journal of the American Medical Informatics Association 13, no. 1 (January 2006): 67–73. http://dx.doi.org/10.1197/jamia.m1861.

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42

Dueck, Gunter. "Highly Sensitive!" Informatik-Spektrum 28, no. 2 (April 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, and Wendy Lane. "Comparison of 3 Data Collection Methods for Gathering Sensitive and Less Sensitive Information." Ambulatory Pediatrics 8, no. 4 (July 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, and Wei-Pang Yang. "An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams." Informatica 19, no. 1 (January 1, 2008): 135–56. http://dx.doi.org/10.15388/informatica.2008.206.

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45

Collins, Maria D. D., and Christine L. Ferguson. "Context-Sensitive Linking." Serials Review 28, no. 4 (December 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 (July 1, 2007): 206–8. http://dx.doi.org/10.54648/bula2007034.

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Анотація:

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

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Анотація:

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, and Jin-Hee Yim. "A Study on Sensitive Information Filtering Requirements for Supporting Original Information Disclosure." Journal of Records Management & Archives Society of Korea 17, no. 1 (February 28, 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, and Li Hua Wang. "LanguageTool Based Proofreading of Sensitive Chinese Political Information." Applied Mechanics and Materials 687-691 (November 2014): 2644–47. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.2644.

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Анотація:

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, and S. Srinivasa. "Preserving Sensitive Information using Fuzzy C-Means Approach." International Journal of Computer Applications 181, no. 10 (August 14, 2018): 40–46. http://dx.doi.org/10.5120/ijca2018917656.

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