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Articoli di riviste sul tema "Fingerprinting"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Gowda, Ashmitha. "Brain Fingerprinting." International Journal of Research Publication and Reviews 4, no. 5 (2023): 1707–10. http://dx.doi.org/10.55248/gengpi.234.5.40436.

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2

Setiabudi, Christian Alvin, and Gede Putra Kusuma. "Performance Evaluation of Multilateration and Fingerprinting Method in Indoor Positioning System." International Journal of Emerging Technology and Advanced Engineering 11, no. 10 (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 Positioni

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3

Smolens, Jared C., Brian T. Gold, Jangwoo Kim, Babak Falsafi, James C. Hoe, and Andreas G. Nowatzyk. "Fingerprinting." ACM SIGPLAN Notices 39, no. 11 (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, and Andreas G. Nowatzyk. "Fingerprinting." ACM SIGARCH Computer Architecture News 32, no. 5 (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, and Andreas G. Nowatzyk. "Fingerprinting." ACM SIGOPS Operating Systems Review 38, no. 5 (2004): 224–34. http://dx.doi.org/10.1145/1037949.1024420.

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6

Kumar, Ravi. "Brain Fingerprinting." COMPUSOFT: An International Journal of Advanced Computer Technology 01, no. 02 (2012): 28–30. https://doi.org/10.5281/zenodo.14591525.

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Brain Fingerprinting is a scientific technique to determine whether or not specific information is stored in an individual's brain by measuring a electrical brain wave response to Word, phrases, or picture that are presented on computer screen. Brain Fingerprinting is a controversial forensic science technique that uses electroencephalograph y (EEG) to determine whether specific information is stored in a subject's brain.

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7

Garcia, David, and Karla Miño. "DNA fingerprinting." Bionatura 2, no. 4 (2017): 477–80. http://dx.doi.org/10.21931/rb/2017.02.04.12.

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8

Brown, George B. "DNA Fingerprinting." Science 247, no. 4946 (1990): 1018–19. http://dx.doi.org/10.1126/science.247.4946.1018.c.

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9

Sarkar, Gobinda. "DNA Fingerprinting." Science 247, no. 4946 (1990): 1018. http://dx.doi.org/10.1126/science.247.4946.1018.b.

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10

Kumar, Sanjay. "DNA Fingerprinting." Science 247, no. 4946 (1990): 1019. http://dx.doi.org/10.1126/science.247.4946.1019.a.

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11

Brown, George B. "DNA Fingerprinting." Science 247, no. 4946 (1990): 1018–19. http://dx.doi.org/10.1126/science.247.4946.1018-c.

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12

Shluger, Alexander, and Tom Trevethan. "Atomic fingerprinting." Nature 446, no. 7131 (2007): 34–35. http://dx.doi.org/10.1038/446034b.

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13

Jain, Anil K., and Sharath Pankanti. "Beyond Fingerprinting." Scientific American 299, no. 3 (2008): 78–81. http://dx.doi.org/10.1038/scientificamerican0908-78.

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14

JONES, K. W. "DNA Fingerprinting." Equine Veterinary Journal 23, no. 4 (1991): 238–39. http://dx.doi.org/10.1111/j.2042-3306.1991.tb03708.x.

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15

Cawood, A. H. "DNA fingerprinting." Clinical Chemistry 35, no. 9 (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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16

TAYLOR, GRAHAM. "DNA fingerprinting." Nature 340, no. 6236 (1989): 672. http://dx.doi.org/10.1038/340672b0.

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17

Yaxley, Ron. "DNA fingerprinting." Commonwealth Law Bulletin 15, no. 2 (1989): 614–19. http://dx.doi.org/10.1080/03050718.1989.9986027.

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18

Jeffreys, Alec J. "Genetic fingerprinting." Nature Medicine 11, no. 10 (2005): 1035–39. http://dx.doi.org/10.1038/nm1005-1035.

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19

Hartl, D., and R. Lewontin. "DNA fingerprinting." Science 266, no. 5183 (1994): 201–3. http://dx.doi.org/10.1126/science.7802835.

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20

VanHook, A. M. "Behavioral Fingerprinting." Science Signaling 3, no. 105 (2010): ec22-ec22. http://dx.doi.org/10.1126/scisignal.3105ec22.

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21

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

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22

Lovell, W. "DNA fingerprinting." Science 266, no. 5183 (1994): 201–2. http://dx.doi.org/10.1126/science.7939647.

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23

Agbenyega, Jonathan. "Raman fingerprinting." Materials Today 13, no. 12 (2010): 10. http://dx.doi.org/10.1016/s1369-7021(10)70213-3.

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24

Carballude González, Pablo. "Fingerprinting Tor." Information Management & Computer Security 21, no. 2 (2013): 73–90. http://dx.doi.org/10.1108/imcs-01-2013-0004.

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25

Epplen, J. T. "DNA fingerprinting." FEBS Letters 354, no. 2 (1994): 243. http://dx.doi.org/10.1016/s0014-5793(94)80013-8.

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26

Katzgraber, Helmut G., Gary Friedman, and G. T. Zimányi. "Fingerprinting hysteresis." Physica B: Condensed Matter 343, no. 1-4 (2004): 10–14. http://dx.doi.org/10.1016/j.physb.2003.08.051.

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27

Wood, E. J. "DNA fingerprinting." Biochemical Education 23, no. 2 (1995): 113. http://dx.doi.org/10.1016/0307-4412(95)90679-7.

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28

Ariza, Luis Miguel. "Atomic Fingerprinting." Scientific American 296, no. 6 (2007): 23–24. http://dx.doi.org/10.1038/scientificamerican0607-23.

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29

Moran, Mark. "BRAIN FINGERPRINTING." Neurology Today 4, no. 11 (2004): 74. http://dx.doi.org/10.1097/00132985-200411000-00021.

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30

Gounari, Fotini, and Barbara L. Kee. "Fingerprinting Ikaros." Nature Immunology 14, no. 10 (2013): 1034–35. http://dx.doi.org/10.1038/ni.2709.

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31

Laperdrix, Pierre, Nataliia Bielova, Benoit Baudry, and Gildas Avoine. "Browser Fingerprinting." ACM Transactions on the Web 14, no. 2 (2020): 1–33. http://dx.doi.org/10.1145/3386040.

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32

Cotter, F. E., and S. Nasipuri. "DNA fingerprinting." BMJ 297, no. 6652 (1988): 856. http://dx.doi.org/10.1136/bmj.297.6652.856-b.

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33

Zimányi, G. T., Gary Friedman, and K. Liu. "Fingerprinting hysteresis." Journal of Applied Physics 95, no. 11 (2004): 7040–42. http://dx.doi.org/10.1063/1.1688255.

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34

Hart, Keith. "Dna fingerprinting." Journal of Forensic Psychiatry 2, no. 2 (1991): 132–34. http://dx.doi.org/10.1080/09585189108407642.

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35

Kauvar, Lawrence M. "Affinity Fingerprinting." Nature Biotechnology 13, no. 9 (1995): 965–66. http://dx.doi.org/10.1038/nbt0995-965.

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36

McElfresh, K. "DNA fingerprinting." Science 246, no. 4927 (1989): 192. http://dx.doi.org/10.1126/science.2799381.

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37

Lo Presti, Saberio, Brendan L. Eck, Reza Reyaldeen, et al. "Fingerprinting MINOCA." JACC: Case Reports 7 (February 2023): 101722. http://dx.doi.org/10.1016/j.jaccas.2022.101722.

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38

Sullivan, Karen M. "DNA fingerprinting." Molecular Biotechnology 2, no. 3 (1994): 302. http://dx.doi.org/10.1007/bf02745885.

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39

Debenham, Paul G. "DNA fingerprinting." Journal of Pathology 164, no. 2 (1991): 101–6. http://dx.doi.org/10.1002/path.1711640203.

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40

Zhao, Zheng, Fenlin Liu, and 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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Abstract (sommario):

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 anal

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41

Oh, Se Eun, Saikrishna Sunkam, and Nicholas Hopper. "p1-FP: Extraction, Classification, and Prediction of Website Fingerprints with Deep Learning." Proceedings on Privacy Enhancing Technologies 2019, no. 3 (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 exc

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42

Lyu, Ting, Liang Liu, Fangzhou Zhu, Simin Hu, and Renjun Ye. "BEFP: An Extension Recognition System Based on Behavioral and Environmental Fingerprinting." Security and Communication Networks 2022 (February 21, 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 b

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43

Madi, Ramzi. "Report: Establishment of a DNA Fingerprinting Database in the United Arab Emirates." Global Privacy Law Review 5, Issue 3 (2024): 133–35. http://dx.doi.org/10.54648/gplr2024017.

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DNA fingerprinting represents a pivotal advancement in forensic science since the 1980s. Recognizing its significance, the United Arab Emirates (UAE) implemented the first law pertaining to this technology through Federal Decree by Law No. (39) of 2023, titled ‘Concerning the Regulation of the Federal DNA Fingerprinting Database’. This law came into effect on 1 November 2023. The report will delve into the concept of DNA fingerprinting and its database, focusing on the administration of the Federal DNA Fingerprinting Database and its practical applications. The discussion will cover various as

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44

Thachil, Anil J., Binu T. Velayudhan, Vanessa C. Lopes-Berkas, David A. Halvorson, and Kakambi V. Nagaraja. "Application of Polymerase Chain Reaction Fingerprinting to Differentiate Ornithobacterium Rhinotracheale Isolates." Journal of Veterinary Diagnostic Investigation 19, no. 4 (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 b

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45

R, Balabhaskar, and Vijayalakshmi K. "HIGH-PERFORMANCE THIN-LAYER CHROMATOGRAPHY FINGERPRINT PROFILE OF BAUHINIA TOMENTOSA LINN. LEAVES." Asian Journal of Pharmaceutical and Clinical Research 11, no. 2 (2018): 344. http://dx.doi.org/10.22159/ajpcr.2018.v11i2.23294.

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Objective: Chromatographic fingerprint is an effective method for doing the fingerprinting of a plant species. In this study, high-performance thin-layer chromatography (HPTLC) analysis of Bauhinia tomentosa was done in n-hexane, chloroform, and ethanol extracts.Methods: The extract of leaves was developed using toluene:ethyl acetate:formic acid:glacial acetic acid (7:3:0.1:0.1) for n-hexane, toluene:ethyl acetate:formic acid (6:2:0.5) for chloroform, and chloroform:methanol:formic acid (8:1.5:0.2) for ethanol extract as mobile phase using standard procedures and scanned under ultraviolet at 2

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46

LOU, DER-CHYUAN, JIEH-MING SHIEH, and HAO-KUAN TSO. "A ROBUST BUYER–SELLER WATERMARKING SCHEME BASED ON DWT." International Journal of Pattern Recognition and Artificial Intelligence 20, no. 01 (2006): 79–90. http://dx.doi.org/10.1142/s0218001406004491.

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In a buyer–seller watermarking protocol, a seller should embed a buyer's fingerprinting and seller's watermark into the work before the sale of a work to a buyer. If the work is violated, the fingerprinting and watermark can be extracted to correctly identify who holds the legal copyright of the work and trace the illegal reseller. In this paper, we propose a robust buyer–seller watermarking scheme based on discrete wavelet transformation (DWT) which embeds the buyer's fingerprinting and seller's watermark into an image. Besides, during the extraction phase, the extraction of the fingerprintin

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47

Rezaei, Fatemeh, and Amir Houmansadr. "TagIt: Tagging Network Flows using Blind Fingerprints." Proceedings on Privacy Enhancing Technologies 2017, no. 4 (2017): 290–307. http://dx.doi.org/10.1515/popets-2017-0050.

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Abstract Flow fingerprinting is a mechanism for linking obfuscated network flows at large scale. In this paper, we introduce the first blind flow fingerprinting system called TagIt. Our system works by modulating fingerprint signals into the timing patterns of network flows through slightly delaying packets into secret time intervals only known to the fingerprinting parties. We design TagIt to to enable reliable fingerprint extraction by legitimate fingerprinting parties despite natural network noise, but invisible to an adversary who does not possess the secret fingerprinting key. TagIt makes

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48

Lanka, Chandra Lekha, Mukh Ram, and Singareddy Murali Krishna. "DNA Fingerprinting of Crops and Its Significance in Crop Improvement." International Journal of Plant & Soil Science 35, no. 16 (2023): 232–42. http://dx.doi.org/10.9734/ijpss/2023/v35i163149.

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One of the improvements made possible by the era of genomics is DNA fingerprinting. DNA fingerprinting can be used to detect a variety of genetic changes. In breeding programmes fingerprinting is used to improve productivity and performance. Variety differentiation was relied on morphological characteristics prior to the introduction of genomics and proteomics approaches. Although morphological markers have been used for decades, protein-based markers like isozymes were discovered in the middle of the twentieth century and used for fingerprinting and crop genetic variety assessments. But nowad

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49

Oh, Se Eun, Nate Mathews, Mohammad Saidur Rahman, Matthew Wright, and Nicholas Hopper. "GANDaLF: GAN for Data-Limited Fingerprinting." Proceedings on Privacy Enhancing Technologies 2021, no. 2 (2021): 305–22. http://dx.doi.org/10.2478/popets-2021-0029.

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Abstract We introduce Generative Adversarial Networks for Data-Limited Fingerprinting (GANDaLF), a new deep-learning-based technique to perform Website Fingerprinting (WF) on Tor traffic. In contrast to most earlier work on deep-learning for WF, GANDaLF is intended to work with few training samples, and achieves this goal through the use of a Generative Adversarial Network to generate a large set of “fake” data that helps to train a deep neural network in distinguishing between classes of actual training data. We evaluate GANDaLF in low-data scenarios including as few as 10 training instances

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50

Bahrami, Pouneh Nikkhah, Umar Iqbal, and Zubair Shafiq. "FP-Radar: Longitudinal Measurement and Early Detection of Browser Fingerprinting." Proceedings on Privacy Enhancing Technologies 2022, no. 2 (2022): 557–77. http://dx.doi.org/10.2478/popets-2022-0056.

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Abstract Browser fingerprinting is a stateless tracking technique that aims to combine information exposed by multiple different web APIs to create a unique identifier for tracking users across the web. Over the last decade, trackers have abused several existing and newly proposed web APIs to further enhance the browser fingerprint. Existing approaches are limited to detecting a specific fingerprinting technique(s) at a particular point in time. Thus, they are unable to systematically detect novel fingerprinting techniques that abuse different web APIs. In this paper, we propose FP-Radar, a ma

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