5,240 research outputs found
CALD : surviving various application-layer DDoS attacks that mimic flash crowd
Distributed denial of service (DDoS) attack is a continuous critical threat to the Internet. Derived from the low layers, new application-layer-based DDoS attacks utilizing legitimate HTTP requests to overwhelm victim resources are more undetectable. The case may be more serious when suchattacks mimic or occur during the flash crowd event of a popular Website. In this paper, we present the design and implementation of CALD, an architectural extension to protect Web servers against various DDoS attacks that masquerade as flash crowds. CALD provides real-time detection using mess tests but is different from other systems that use resembling methods. First, CALD uses a front-end sensor to monitor thetraffic that may contain various DDoS attacks or flash crowds. Intense pulse in the traffic means possible existence of anomalies because this is the basic property of DDoS attacks and flash crowds. Once abnormal traffic is identified, the sensor sends ATTENTION signal to activate the attack detection module. Second, CALD dynamically records the average frequency of each source IP and check the total mess extent. Theoretically, the mess extent of DDoS attacks is larger than the one of flash crowds. Thus, with some parameters from the attack detection module, the filter is capable of letting the legitimate requests through but the attack traffic stopped. Third, CALD may divide the security modules away from the Web servers. As a result, it keeps maximum performance on the kernel web services, regardless of the harassment from DDoS. In the experiments, the records from www.sina.com and www.taobao.com have proved the value of CALD
Web3D learning framework for 3D shape retrieval based on hybrid convolutional neural networks
With the rapid development of Web3D technologies, sketch-based model retrieval has become an increasingly important challenge, while the application of Virtual Reality and 3D technologies has made shape retrieval of furniture over a web browser feasible. In this paper, we propose a learning framework for shape retrieval based on two Siamese VGG-16 Convolutional Neural Networks (CNNs), and a CNN-based hybrid learning algorithm to select the best view for a shape. In this algorithm, the AlexNet and VGG-16 CNN architectures are used to perform classification tasks and to extract features, respectively. In addition, a feature fusion method is used to measure the similarity relation of the output features from the two Siamese networks. The proposed framework can provide new alternatives for furniture retrieval in the Web3D environment. The primary innovation is in the employment of deep learning methods to solve the challenge of obtaining the best view of 3D furniture, and to address cross-domain feature learning problems. We conduct an experiment to verify the feasibility of the framework and the results show our approach to be superior in comparison to many mainstream state-of-the-art approaches
Correlation of Single Nucleotide Polymorphism in Phospholipase A2 Receptor 1 with Membranous Nephropathy in the Chinese Han Population
Novel Brønsted-acidic ionic liquids based on benzothiazolium cations as catalysts for esterification reactions
Three novel Brønsted-acidic ionic liquids based on benzothiazolium cations were prepared, which served as catalysts for the synthesis of benzoic esters. All three gave good yields of the target esters in esterification reactions. Moreover, they combine the advantages of both homogeneous and heterogeneous solid catalysts in esterification reactions, which enabled them to serve as homogeneous catalysts to catalyze the reactions and be conveniently recovered by simple filtration after the reactions. They could be reused several times without noticeable decrease in efficiency
VIE-FG-FFT for Analyzing EM Scattering from Inhomogeneous Nonmagnetic Dielectric Objects
A new realization of the volume integral equation (VIE) in combination with the fast Fourier transform (FFT) is established by fitting Green’s function (FG) onto the nodes of a uniform Cartesian grid for analyzing EM scattering from inhomogeneous nonmagnetic dielectric objects. The accuracy of the proposed method is the same as that of the P-FFT and higher than that of the AIM and the IE-FFT especially when increasing the grid spacing size. Besides, the preprocessing time of the proposed method is obviously less than that of the P-FFT for inhomogeneous nonmagnetic dielectric objects. Numerical examples are provided to demonstrate the accuracy and efficiency of the proposed method
Strong decays of low-lying -wave baryons with QPC model
For further decoding the inner structure of the two excited states
observed by LHCb, we perform a systematical study of the strong decays of the
low-lying -wave and excitations using the quark pair
creation model within the coupling scheme. Combining with the measured
masses and decay properties of and , the
two excited states can be explained as -mode states
and
, respectively. If
such a view were correct, and could be another
interesting channels for experimental exploring of the and
, respectively. Those calculations are good consistent with
the results within the chiral quark model. In addition, for the other missing
-wave and excitations, our predictions indicate that:(i)
the two -mode states are likely to be moderate states with a
width of MeV. The state dominantly decays into
and , while the state decays primarily
through and . (ii) The -mode
states may be moderate states with a widths of about several to dozens of MeV.
Most of the -mode states mainly decay into the -wave
bottomed baryon via the pionic decay processes. Meanwhile, several
-mode states have significant decay rates into . (iii) While, the -mode states are predicted to be very
broad states with a width of about several hundreds MeV. It will be a great
challenge to explore the -mode states in experiments for
their broad widths.Comment: 11 pages, 5 figure
Strong decays of the low-lying - and -wave baryons
In this work, we systematically study the OZI-allowed two-body strong decay
properties of - and -wave baryons within the -
coupling scheme in the framework of the quark pair creation model. For a
comparison, we also give the predictions of the chiral quark model. Some model
dependencies can be found in the predictions of two models. The calculations
indicate that: (i) The -wave -mode states most likely
to be relatively narrow states with a width of MeV. Their main
decay channels are , or , or . The
-wave -mode states most might be broad states with a width of
MeV. They dominantly decay into and
channels. Some evidences of these -wave states are most
likely to be observed in the and invariant
mass spectra around the energy range of GeV. (ii) The -wave
-mode excitations may be moderate states with a width of
about dozens of MeV. The -wave -mode states mainly decay into the
-wave charmed baryon via the pionic decay processes. Meanwhile, several
-wave -mode states have significant decay rates into or
. Hence, the and are likely to be interesting channels for
experimental exploration. (iii) Furthermore, the two -wave -mode
excitations and
are most likely to be fairly narrow state with
a width of dozens of MeV, and they mainly decay into . Some
evidences of them might be observed in the invariant mass
spectra around the energy range of GeV.Comment: 12 pages,5 figures, 4 tables. arXiv admin note: text overlap with
arXiv:2208.1011
Patterns and driving forces of dimensionality-dependent charge density waves in 2H-type transition metal dichalcogenides
Two-dimensional (2D) materials have become a fertile playground for the
exploration and manipulation of novel collective electronic states. Recent
experiments have unveiled a variety of robust 2D orders in highly-crystalline
materials ranging from magnetism to ferroelectricity and from superconductivity
to charge density wave (CDW) instability. The latter, in particular, appears in
diverse patterns even within the same family of materials with isoelectronic
species. Furthermore, how they evolve with dimensionality has so far remained
elusive. Here we propose a general framework that provides a unfied picture of
CDW ordering in the 2H polytype of four isoelectronic transition metal
dichalcogenides 2H-MX (M=Nb, Ta and X=S, Se). We first show experimentally
that whilst NbSe exhibits a strongly enhanced CDW order in the 2D limit,
the opposite trend exists for TaSe and TaS, with CDW being entirely
absent in NbS from its bulk to the monolayer. Such distinct behaviours are
then demonstrated to be the result of a subtle, yet profound, competition
between three factors: ionic charge transfer, electron-phonon coupling, and the
spreading extension of the electronic wave functions. Despite its simplicity,
our approach can, in essence, be applied to other quasi-2D materials to account
for their CDW response at different thicknesses, thereby shedding new light on
this intriguing quantum phenomenon and its underlying mechanisms
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