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.
The future 6G systems are expected to achieve intelligent connection and interaction between various heterogeneous terminals, increasing the fragility for spoofing attacks. Due to the high security ...and energy efficiency, Physical Layer Authentication (PLA) has been regarded as a powerful method to verify the identity of devices. Nevertheless, due to the inaccurate identifying fingerprints caused by the imperfect estimation and variations of the limited fingerprints, most of the state-of-the-art PLA schemes have low reliability and robustness in low Signal-Noise Ratio (SNR) environments. Besides, most PLA schemes rely on the prior knowledge of attackers to establish authentication models, thus reducing the feasibility of actual communications. To address the first challenge, we propose a multi-attacker detection architecture based on multi-dimensional fingerprints, which can provide more robust identifiable spatial attributes for devices by using fingerprints observed by receivers in multi-locations. Upon the designed detection architecture, to tackle the second issue, we propose four clustering-based PLA schemes without requiring their training fingerprint sets. Considering that the aforementioned schemes can divide fingerprints from different transmitters into several disjoint clusters but can not precisely identify forged fingerprints, we further propose the graph learning-based PLA approaches with only a few labeled fingerprints. The simulation results on real industrial outdoor and indoor datasets demonstrate the superiority of the designed detection system in Adjusted Mutual Information (AMI) and authentication accurate rate (AucRate) over the single observation-based PLA schemes.
Abstract
We present a measurement of the anisotropic and isotropic Baryon Acoustic Oscillations (BAO) from the extended Baryon Oscillation Spectroscopic Survey Data Release 14 quasar sample with ...optimal redshift weights. Applying the redshift weights improves the constraint on the BAO dilation parameter α(zeff) by 17 per cent. We reconstruct the evolution history of the BAO distance indicators in the redshift range of 0.8 < z < 2.2. This paper is part of a set that analyses the eBOSS DR14 quasar sample.
The Baryon Acoustic Oscillations signal has been an important tool in precision cosmology to study the properties of dark energy. Designing efficient and robust data analysis methods that optimize ...the extraction of information is crucial to realize the immense potential of current and future surveys. To achieve this goal, this thesis presents the development and implementation of two techniques: `redshift weighting' (Zhu et al., 2015, 2016) and `BAO emulation'. In current and future BAO surveys, the samples cover a wide range of redshifts. One typically improve the redshift resolution of the distance-redshift relation by splitting a wide sample into multiple redshift bins and analyze the signals in these narrower slices. Splitting the sample results in lower signal-to-noise ratios in each slice, thus reducing the robustness of BAO detection in each slice. Furthermore, signals are lost across bin boundaries of disjoint bins. To tackle these problem with binning, we develop a redshift weighting scheme that optimally extracts information in the redshift direction of the full sample without the need to split the sample. Using the redshift weights, we compress the BAO information in the redshift direction onto a small number of weighted correlation functions that preserve nearly all of the signals. This result of this work is published in Zhu et al. (2015). Building off the work in Zhu et al. (2015), we implement the redshift weighting scheme to directly constrain the distance-redshift relation from BAO measurements. We parameterize the distance-redshift relation, relative to a fiducial model, as a quadratic expansion. We measure its coefficients and reconstruct the distance-redshift relation from the expansion. We implement the redshift weights to compress the correlation functions onto a set of weighted correlation functions. These estimators give unbiased distance and Hubble parameter estimates. We validate the technique extensively on mock catalogs created for the Baryon Oscillation Spectroscopic Survey (BOSS) Data Release 12 samples covering the redshift range 0.2 < z < 0.75. We further test the robustness of the redshift weighting technique against various factors including the galaxy bias, redshift space distortion streaming parameters, and fitting ranges. As a comparison, we show the consistency between our mock results and a Fisher forecast to be within 10%. The result of this work is published in Zhu et al. (2016). We apply the redshift weights technique to the clustering of quasars in the SDSS-IV extended Baryon Oscillation Spectroscopic Survey (eBOSS) Data. Release 14 (DR14) quasar sample. The sample consists of 147,000 quasars distributed over a redshift range of 0.8 < z < 2.2. We report a 4.6 per cent measurement of the angular distance measurement D M at z = 2.2 and Hubble parameter H at z = 0.8. In addition, we report the distance and Hubble parameter estimates at two characteristic redshifts: D M(z = 1) = 3405±305 H( z = 1) = 120.7 ± 7.3(rd,fid/ rd) km s–1 Mpc–1, and DM(z = 2) = 5325 ± 249(rd/rd,fid) Mpc, H(z = 2) = 189.9 ± 32.9(rd,fid/ rd) km s–1Mpc–1. As a last step of this analysis, we assess the outlook of a future BAO analysis from the final quasar sample by testing the method on a set of mocks that mimic the noise level in the final quasar sample. We demonstrate on these mocks the efficiency of redshift weighting in reducing the measurement error. This work (Zhu et al., 2018) has been submitted to MNRAS. To realize the full potential of BAO measurements, we are challenged to continue improving BAO modeling. Markov Chain Monte Carlo (MCMC) is one of the most commonly used methods to sample the likelihood surface. A fully convergent MCMC chain typically requires tens of thousands of points. This high computational demand puts considerable stress on the speed of BAO model prediction. In face of this challenge, we develop fast emulators for predicting BAO correlation functions. The emulator utilizes a low discrepancy Sobol sequence to efficiently sample the full BAO parameter space and evaluate the correlation functions at these parameters. We subsequently decompose the correlation function data matrix via Principal Component Analysis (PCA) before training the PCA weights through Gaussian Process regression. We construct BAO emulators for both the ESW model and the more advanced Zel'dovich model in this manner We demonstrate that both emulators are able to predict two-point galaxy correlation function models to 1% accuracy at a wide range of BAO parameter configurations in the test set. In addition to the high accuracy of the prediction, the emulator also provides almost instantaneous correlation function predictions, making it well suited for producing MCMC chains at very modest computational costs. I conclude by assessing avenues for future work that can build on the methods developed in this thesis. Future redshift surveys present exciting opportunities to enrich the science return from the BAO method. The `redshift weighting' technique and `BAO emulation' can both contribute to unlocking the full potential of upcoming surveys, thus getting us closer to unveiling the mystery of dark energy.
Telco Churn Prediction with Big Data Huang, Yiqing; Zhu, Fangzhou; Yuan, Mingxuan ...
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data,
05/2015
Conference Proceeding
We show that telco big data can make churn prediction much more easier from the $3$V's perspectives: Volume, Variety, Velocity. Experimental results confirm that the prediction performance has been ...significantly improved by using a large volume of training data, a large variety of features from both business support systems (BSS) and operations support systems (OSS), and a high velocity of processing new coming data. We have deployed this churn prediction system in one of the biggest mobile operators in China. From millions of active customers, this system can provide a list of prepaid customers who are most likely to churn in the next month, having $0.96$ precision for the top $50000$ predicted churners in the list. Automatic matching retention campaigns with the targeted potential churners significantly boost their recharge rates, leading to a big business value.
In order to study the influence of shape of cross section on hydrodynamics of gas-solid fluidization in the fluidized bed, five fluidized beds with the shapes of cross sections of circle, regular ...hexagon, square, rectangle and regular triangle were proposed. The fluidization characteristics and pressure drops in the fluidized beds with different shapes of cross sections were numerically investigated by Computational Particle-Fluid Dynamics (CPFD) models. The simulation results show that the shapes of cross sections affect strongly the particles distributions and the fluidized gas distributions due to strong wall effects, but affect slightly the pressure distributions and the pressure drops in the fluidized beds.
Стаття присвячена питанню застосування технологій у професійній освіті та розвитку технології штучного інтелекту або його використання в журналістській освіті. Зі стрімким ітеративним розвитком ...штучного інтелекту (ШІ) технологічну ітерацію та розвиток талантів по всьому світу відносять до національної стратегії, спрямовуючи промисловий розвиток. Особливо ця проблема стосується майбутніх журналістів. Актуальність статті передбачає цілісне дослідження значущості моделей медіапродукції в епоху штучного інтелекту. Це дослідження має на меті вивчити рамку компетентностей для студентів у галузі новин і комунікацій з точки зору штучного інтелекту, розглядаючи питання, повʼязані з різкими змінами у галузі медіа-технологій та їх впливом на розвиток майбутніх талантів студентів. За допомогою цього дослідження буде зроблено спробу розробити рамку компетентностей майбутніх журналістів, яка відповідає глобальним тенденціям розвитку промисловості, сприяючи розвитку талантів, що відповідає потребам як нації, так і підприємств. Поява інтелектуальних технологій як роботів-письменників висуває нові вимоги до журналістів у сфері новин і комунікацій. Тому перед закладами вищої освіти постають виклики в розвитку студентських талантів у галузі новин і комунікації. Майбутні журналісти повинні вносити корективи й адаптуватися відповідно до власних здібностей та мислення, незважаючи на появу нових комунікаційних платформ чи трансформації комунікаційних моделей. Отож, реформи та інновації в журналістській освіті є важливими й актуальними. На цьому тлі реформа і розвиток журналістської освіти в Китаї потребують постійної уваги та досліджень. З точки зору штучного інтелекту, динамічна конвергенція медіатехнологій є нагальною темою в галузі журналістики та комунікаційних досліджень, відкриваючи нові шляхи для журналістської освіти.
We measure the growth rate and its evolution using the anisotropic clustering of the extended Baryon Oscillation Spectroscopic Survey (eBOSS) Data Release 14 (DR14) quasar sample, which includes ...148659 quasars covering the wide redshift range of 0.8 < z < 2.2 and a sky area of 2112.90deg2. To optimize measurements we deploy a redshift-dependent weighting scheme, which allows us to avoid binning and perform the data analysis consistently including the redshift evolution across the sample. We perform the analysis in Fourier space, and use the redshift evolving power spectrum multipoles to measure the redshift-space distortion parameter fσ8 and parameters controlling the anisotropic projection of the cosmological perturbations. We measure fσ8(z = 1.52) = 0.43 ± 0.05 and dfσ8/dz(z = 1.52) = −0.16 ± 0.08, consistent with the expectation for a lambda cold dark matter cosmology as constrained by the Planck experiment.
We present an anisotropic analysis of baryon acoustic oscillation (BAO) signal from the Sloan Digital Sky Survey IV extended Baryon Oscillation Spectroscopic Survey Data Release 14 quasar sample. The ...sample consists of 147 000 quasars distributed over a redshift range of 0.8 < |$z$| < 2.2. We apply the redshift weights technique to the clustering of quasars in this sample and achieve a 4.6 per cent measurement of the angular distance measurement at |$z$| = 2.2 and Hubble parameter H at |$z$| = 0.8. We parametrize the distance–redshift relation, relative to a fiducial model, as a Taylor series. The coefficients of this expansion are used to reconstruct the distance–redshift relation and obtain distance and Hubble parameter measurements at all redshifts within the redshift range of the sample. Reporting the result at two characteristic redshifts, we determine D_M(|$z$| = 1) = 3405 ± 305 (r_d/r_d, fid) Mpc, |$H(z=1) = 120.7\pm 7.3 \ (r_{\rm d,fid} / r_{\rm d}) \ {\rm km} \ {\rm s}^{-1}\, {\rm Mpc}^{-1}$| and D_M(|$z$| = 2) = 5325 ± 249 (r_d/r_d, fid) Mpc, |$H(z=2) = 189.9\pm 32.9 \ (r_{\rm d,fid} / r_{\rm d}) \ {\rm km} \ {\rm s}^{-1}\, {\rm Mpc}^{-1}$|. These measurements are highly correlated. We assess the outlook of BAO analysis from the final quasar sample by testing the method on a set of mocks that mimic the noise level in the final sample. We demonstrate on these mocks that redshift weighting shrinks the measurement error by over 25 per cent on average. We conclude redshift weighting can bring us closer to the cosmological goal of the final quasar sample.
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