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Artículos de revistas sobre el tema "Fingerprinting"

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Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 8 de junio de 2024

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1

Gowda, Ashmitha. "Brain Fingerprinting". International Journal of Research Publication and Reviews 4, n.º 5 (4 de mayo de 2023): 1707–10. http://dx.doi.org/10.55248/gengpi.234.5.40436.

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2

Setiabudi, Christian Alvin y Gede Putra Kusuma. "Performance Evaluation of Multilateration and Fingerprinting Method in Indoor Positioning System". International Journal of Emerging Technology and Advanced Engineering 11, n.º 10 (15 de octubre de 2021): 143–52. http://dx.doi.org/10.46338/ijetae1021_18.

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Indoor Positioning System has been one of the most attractive research after Bluetooth Low Energy (BLE) was introduced. This technology mainly used because of the reduction of material and energy cost over time that has huge impact compared to other technologies, which are more costly. Most recent research resolve around improving the accuracy of calculated position of the user by implementing different method to enable an indoor positioning system, and to remove any noises in the dataset. This paper objective is to compare some of the available methods that are used to enable Indoor Positioning System such as Fingerprinting, Multilateration, Trilateration, and Heron Bilateration. Since the performance of Fingerprinting is better compared to other methods, we combine Fingerprinting’s offline phase with the other methods to create a hybrid method and compare the accuracy of predicted user’s position. The experimental results show that the Fingerprinting and WKNN method outperform all other methods by resulting on 271.76 cm mean of error.
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3

Smolens, Jared C., Brian T. Gold, Jangwoo Kim, Babak Falsafi, James C. Hoe y Andreas G. Nowatzyk. "Fingerprinting". ACM SIGPLAN Notices 39, n.º 11 (noviembre de 2004): 224–34. http://dx.doi.org/10.1145/1037187.1024420.

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4

Smolens, Jared C., Brian T. Gold, Jangwoo Kim, Babak Falsafi, James C. Hoe y Andreas G. Nowatzyk. "Fingerprinting". ACM SIGARCH Computer Architecture News 32, n.º 5 (diciembre de 2004): 224–34. http://dx.doi.org/10.1145/1037947.1024420.

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5

Smolens, Jared C., Brian T. Gold, Jangwoo Kim, Babak Falsafi, James C. Hoe y Andreas G. Nowatzyk. "Fingerprinting". ACM SIGOPS Operating Systems Review 38, n.º 5 (diciembre de 2004): 224–34. http://dx.doi.org/10.1145/1037949.1024420.

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6

Garcia, David y Karla Miño. "DNA fingerprinting". Bionatura 2, n.º 4 (15 de diciembre de 2017): 477–80. http://dx.doi.org/10.21931/rb/2017.02.04.12.

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7

Brown, George B. "DNA Fingerprinting". Science 247, n.º 4946 (2 de marzo de 1990): 1018–19. http://dx.doi.org/10.1126/science.247.4946.1018.c.

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8

Sarkar, Gobinda. "DNA Fingerprinting". Science 247, n.º 4946 (2 de marzo de 1990): 1018. http://dx.doi.org/10.1126/science.247.4946.1018.b.

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9

Kumar, Sanjay. "DNA Fingerprinting". Science 247, n.º 4946 (2 de marzo de 1990): 1019. http://dx.doi.org/10.1126/science.247.4946.1019.a.

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10

Brown, George B. "DNA Fingerprinting". Science 247, n.º 4946 (2 de marzo de 1990): 1018–19. http://dx.doi.org/10.1126/science.247.4946.1018-c.

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11

Shluger, Alexander y Tom Trevethan. "Atomic fingerprinting". Nature 446, n.º 7131 (28 de febrero de 2007): 34–35. http://dx.doi.org/10.1038/446034b.

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12

Jain, Anil K. y Sharath Pankanti. "Beyond Fingerprinting". Scientific American 299, n.º 3 (septiembre de 2008): 78–81. http://dx.doi.org/10.1038/scientificamerican0908-78.

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13

JONES, K. W. "DNA Fingerprinting". Equine Veterinary Journal 23, n.º 4 (julio de 1991): 238–39. http://dx.doi.org/10.1111/j.2042-3306.1991.tb03708.x.

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14

Cawood, A. H. "DNA fingerprinting." Clinical Chemistry 35, n.º 9 (1 de septiembre de 1989): 1832–37. http://dx.doi.org/10.1093/clinchem/35.9.1832.

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Abstract Hypervariable tandem-repetitive minisatellite regions of human DNA can be used to generate individual-specific DNA fingerprints. Validation studies have demonstrated the reliability of the analysis, the mode of inheritance of the minisatellites, and the unparalleled degree of individual specificity. The uses of hypervariable probes in forensic biology, paternity testing, and the resolution of a wide range of problems in genetics, molecular biology, population biology, and medicine are illustrated.
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15

TAYLOR, GRAHAM. "DNA fingerprinting". Nature 340, n.º 6236 (agosto de 1989): 672. http://dx.doi.org/10.1038/340672b0.

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16

Yaxley, Ron. "DNA fingerprinting". Commonwealth Law Bulletin 15, n.º 2 (abril de 1989): 614–19. http://dx.doi.org/10.1080/03050718.1989.9986027.

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17

Jeffreys, Alec J. "Genetic fingerprinting". Nature Medicine 11, n.º 10 (octubre de 2005): 1035–39. http://dx.doi.org/10.1038/nm1005-1035.

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18

Hartl, D. y R. Lewontin. "DNA fingerprinting". Science 266, n.º 5183 (14 de octubre de 1994): 201–3. http://dx.doi.org/10.1126/science.7802835.

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19

VanHook, A. M. "Behavioral Fingerprinting". Science Signaling 3, n.º 105 (19 de enero de 2010): ec22-ec22. http://dx.doi.org/10.1126/scisignal.3105ec22.

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20

Silva, Mara. "Fingerprinting minerals". Nature 511, S7509 (17 de julio de 2014): 9. http://dx.doi.org/10.1038/nature13355.

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21

Lovell, W. "DNA fingerprinting". Science 266, n.º 5183 (14 de octubre de 1994): 201–2. http://dx.doi.org/10.1126/science.7939647.

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22

Agbenyega, Jonathan. "Raman fingerprinting". Materials Today 13, n.º 12 (diciembre de 2010): 10. http://dx.doi.org/10.1016/s1369-7021(10)70213-3.

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23

Carballude González, Pablo. "Fingerprinting Tor". Information Management & Computer Security 21, n.º 2 (7 de junio de 2013): 73–90. http://dx.doi.org/10.1108/imcs-01-2013-0004.

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24

Epplen, J. T. "DNA fingerprinting". FEBS Letters 354, n.º 2 (7 de noviembre de 1994): 243. http://dx.doi.org/10.1016/s0014-5793(94)80013-8.

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25

Katzgraber, Helmut G., Gary Friedman y G. T. Zimányi. "Fingerprinting hysteresis". Physica B: Condensed Matter 343, n.º 1-4 (enero de 2004): 10–14. http://dx.doi.org/10.1016/j.physb.2003.08.051.

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26

Wood, E. J. "DNA fingerprinting". Biochemical Education 23, n.º 2 (abril de 1995): 113. http://dx.doi.org/10.1016/0307-4412(95)90679-7.

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27

Ariza, Luis Miguel. "Atomic Fingerprinting". Scientific American 296, n.º 6 (junio de 2007): 23–24. http://dx.doi.org/10.1038/scientificamerican0607-23.

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28

Moran, Mark. "BRAIN FINGERPRINTING". Neurology Today 4, n.º 11 (noviembre de 2004): 74. http://dx.doi.org/10.1097/00132985-200411000-00021.

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29

Gounari, Fotini y Barbara L. Kee. "Fingerprinting Ikaros". Nature Immunology 14, n.º 10 (18 de septiembre de 2013): 1034–35. http://dx.doi.org/10.1038/ni.2709.

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30

Laperdrix, Pierre, Nataliia Bielova, Benoit Baudry y Gildas Avoine. "Browser Fingerprinting". ACM Transactions on the Web 14, n.º 2 (19 de abril de 2020): 1–33. http://dx.doi.org/10.1145/3386040.

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31

Cotter, F. E. y S. Nasipuri. "DNA fingerprinting". BMJ 297, n.º 6652 (1 de octubre de 1988): 856. http://dx.doi.org/10.1136/bmj.297.6652.856-b.

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32

Zimányi, G. T., Gary Friedman y K. Liu. "Fingerprinting hysteresis". Journal of Applied Physics 95, n.º 11 (junio de 2004): 7040–42. http://dx.doi.org/10.1063/1.1688255.

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33

Hart, Keith. "Dna fingerprinting". Journal of Forensic Psychiatry 2, n.º 2 (septiembre de 1991): 132–34. http://dx.doi.org/10.1080/09585189108407642.

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34

Kauvar, Lawrence M. "Affinity Fingerprinting". Nature Biotechnology 13, n.º 9 (septiembre de 1995): 965–66. http://dx.doi.org/10.1038/nbt0995-965.

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35

McElfresh, K. "DNA fingerprinting". Science 246, n.º 4927 (13 de octubre de 1989): 192. http://dx.doi.org/10.1126/science.2799381.

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36

Lo Presti, Saberio, Brendan L. Eck, Reza Reyaldeen, Christopher Nguyen, W. H. Wilson Tang, Scott D. Flamm, Nicole Seiberlich, Gastao Lima da Cruz, Claudia Prieto y Deborah H. Kwon. "Fingerprinting MINOCA". JACC: Case Reports 7 (febrero de 2023): 101722. http://dx.doi.org/10.1016/j.jaccas.2022.101722.

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37

Sullivan, Karen M. "DNA fingerprinting". Molecular Biotechnology 2, n.º 3 (diciembre de 1994): 302. http://dx.doi.org/10.1007/bf02745885.

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38

Debenham, Paul G. "DNA fingerprinting". Journal of Pathology 164, n.º 2 (junio de 1991): 101–6. http://dx.doi.org/10.1002/path.1711640203.

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39

Zhao, Zheng, Fenlin Liu y Daofu Gong. "An SDN-Based Fingerprint Hopping Method to Prevent Fingerprinting Attacks". Security and Communication Networks 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/1560594.

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Fingerprinting attacks are one of the most severe threats to the security of networks. Fingerprinting attack aims to obtain the operating system information of target hosts to make preparations for future attacks. In this paper, a fingerprint hopping method (FPH) is proposed based on software-defined networks to defend against fingerprinting attacks. FPH introduces the idea of moving target defense to show a hopping fingerprint toward the fingerprinting attackers. The interaction of the fingerprinting attack and its defense is modeled as a signal game, and the equilibriums of the game are analyzed to develop an optimal defense strategy. Experiments show that FPH can resist fingerprinting attacks effectively.
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40

Oh, Se Eun, Saikrishna Sunkam y Nicholas Hopper. "p1-FP: Extraction, Classification, and Prediction of Website Fingerprints with Deep Learning". Proceedings on Privacy Enhancing Technologies 2019, n.º 3 (1 de julio de 2019): 191–209. http://dx.doi.org/10.2478/popets-2019-0043.

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Abstract Recent advances in Deep Neural Network (DNN) architectures have received a great deal of attention due to their ability to outperform state-of-the-art machine learning techniques across a wide range of application, as well as automating the feature engineering process. In this paper, we broadly study the applicability of deep learning to website fingerprinting. First, we show that unsupervised DNNs can generate lowdimensional informative features that improve the performance of state-of-the-art website fingerprinting attacks. Second, when used as classifiers, we show that they can exceed performance of existing attacks across a range of application scenarios, including fingerprinting Tor website traces, fingerprinting search engine queries over Tor, defeating fingerprinting defenses, and fingerprinting TLS-encrypted websites. Finally, we investigate which site-level features of a website influence its fingerprintability by DNNs.
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41

Lyu, Ting, Liang Liu, Fangzhou Zhu, Simin Hu y Renjun Ye. "BEFP: An Extension Recognition System Based on Behavioral and Environmental Fingerprinting". Security and Communication Networks 2022 (21 de febrero de 2022): 1–15. http://dx.doi.org/10.1155/2022/7896571.

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Browser extensions are third-party applications that can customize the browsing experience. Previous studies have shown that browser extension fingerprinting can be used to track users and reveal users’ privacy information by obtaining the browser extension list. However, the proposal of various defense measures weakens the effectiveness of the existing extension fingerprinting technologies. In this paper, we first propose two extension fingerprinting technologies: JavaScript-based environmental fingerprinting and DOM-based behavioral fingerprinting. They, respectively, capture the operation behaviors of extensions on JavaScript properties and webpage’s DOM. Second, we design BEFP, an extension recognition system which comprehensively utilizes the above two technologies to improve the uniqueness of the extension fingerprint. Finally, we collect the latest data set and carry out experiments on the actual scenario where users install multiple extensions. The results show that the true positive rate of extension recognition is as high as 96.3%. And the extension’s detectable rate of BEFP is superior to the existing technologies. Moreover, it is proved that the JavaScript-based environmental fingerprinting can complement the DOM-based fingerprinting to distinguish the extensions with the same DOM modification.
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42

Thachil, Anil J., Binu T. Velayudhan, Vanessa C. Lopes-Berkas, David A. Halvorson y Kakambi V. Nagaraja. "Application of Polymerase Chain Reaction Fingerprinting to Differentiate Ornithobacterium Rhinotracheale Isolates". Journal of Veterinary Diagnostic Investigation 19, n.º 4 (julio de 2007): 417–20. http://dx.doi.org/10.1177/104063870701900415.

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Ornithobacterium rhinotracheale (ORT) is an infectious respiratory pathogen of chickens, turkeys, and wild birds. There are 18 serotypes of ORT reported worldwide. In this study, enterobacterial repetitive intergenic consensus (ERIC) polymerase chain reaction and random amplified polymorphic DNA assay with Universal M13 primer-based fingerprinting techniques were investigated for their ability to differentiate ORT isolates. The authors examined 50 field isolates and 8 reference strains of ORT for their genetic differences. The fingerprint patterns were compared with serotyping results of ORT by the agar gel precipitation test. M13 fingerprinting revealed different patterns for 6 reference serotypes of ORT that were tested, namely, C, D, E, I, J, and K. Ornithobacterium rhinotracheale reference serotypes A and F yielded indistinguishable fingerprints with M13 fingerprinting. The ERIC 1R technique discerned only 5 of the 8 reference serotypes of ORT. Distinct fingerprints were also found within the ORT serotypes with both techniques. From 58 isolates of ORT that were fingerprinted belonging to 8 ORT serotypes, 10 different fingerprints were obtained with M13 fingerprinting and 6 different fingerprints were obtained with ERIC 1R fingerprinting. M13 fingerprinting technique was found to be more discriminative in differentiating ORT isolates than the ERIC 1R fingerprinting technique. These results suggest that fingerprinting techniques may be a more discerning tool for characterizing ORT isolates than the serological test using the agar gel precipitation test. This fingerprinting technique could potentially be a valuable tool in identifying an isolate from a clinical outbreak of ORT infection for development of an autogenous vaccine.
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43

Spannaus, Adam, Kody J. H. Law, Piotr Luszczek, Farzana Nasrin, Cassie Putman Micucci, Peter K. Liaw, Louis J. Santodonato, David J. Keffer y Vasileios Maroulas. "Materials Fingerprinting Classification". Computer Physics Communications 266 (septiembre de 2021): 108019. http://dx.doi.org/10.1016/j.cpc.2021.108019.

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44

Tourniaire, Guilhem, Juan Diaz-Mochon y Mark Bradley. "Fingerprinting Polymer Microarrays". Combinatorial Chemistry & High Throughput Screening 12, n.º 7 (1 de agosto de 2009): 690–96. http://dx.doi.org/10.2174/138620709788923692.

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45

Gewin, Virginia. "Fingerprinting Fugitive Dust". Frontiers in Ecology and the Environment 2, n.º 9 (noviembre de 2004): 455. http://dx.doi.org/10.2307/3868330.

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46

MATSUMOTO, TSUTOMU. "Watermaking and Fingerprinting." Journal of the Institute of Electrical Engineers of Japan 120, n.º 7 (2000): 430–33. http://dx.doi.org/10.1541/ieejjournal.120.430.

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47

Ducea, Mihai N. "Fingerprinting orogenic delamination". Geology 39, n.º 2 (febrero de 2011): 191–92. http://dx.doi.org/10.1130/focus022011.1.

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48

Doerr, Allison. "Fingerprinting with MRI". Nature Methods 10, n.º 5 (29 de abril de 2013): 380. http://dx.doi.org/10.1038/nmeth.2465.

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49

Itzkowitz, Steven H. "FINGERPRINTING THE COLON?" Inflammatory Bowel Diseases 9, n.º 5 (septiembre de 2003): 338–39. http://dx.doi.org/10.1097/00054725-200309000-00009.

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50

Adhami, R. y P. Meenen. "Fingerprinting for security". IEEE Potentials 20, n.º 3 (2001): 33–38. http://dx.doi.org/10.1109/45.954536.

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