Compared with traditional environments,the cloud environment exposes online services to additional vulnerabilities and threats of cyber attacks,and the cyber security of cloud platforms is becoming increasingly promin...
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Compared with traditional environments,the cloud environment exposes online services to additional vulnerabilities and threats of cyber attacks,and the cyber security of cloud platforms is becoming increasingly prominent.A piece of code,known as a Webshell,is usually uploaded to the target servers to achieve multiple *** Webshell attacks has become a hot spot in current ***,the traditional Webshell detectors are not built for the cloud,making it highly difficult to play a defensive role in the cloud ***,a Webshell detection system based on deep learning that is successfully applied in various scenarios,is proposed in this *** system contains two important components:gray-box and neural network *** gray-box analyzer defines a series of rules and algorithms for extracting static and dynamic behaviors from the code to make the decision *** neural network analyzer transforms suspicious code into Operation Code(OPCODE)sequences,turning the detection task into a classification *** experiment results show that SmartEagleEye achieves an encouraging high detection rate and an acceptable false-positive rate,which indicate its capability to provide good protection for the cloud environment.
Node fusion is an important technique in neural network large model optimization. This technique can reduce the model size and accelerate the training and validation process. However, the fusion process is often accom...
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The neural networks are vulnerable, as they are easily affected by small perturbations on the input. So, it is crucial to ensure stability and robustness in high-security scenarios. Many approaches aim to verify the r...
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The Quantum Internet of Things (QIoT) in the healthcare industry holds the promise of transforming patient care, diagnostics, and medical research. Quantum-enhanced sensors, communication, and computation offer unprec...
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The Quantum Internet of Things (QIoT) in the healthcare industry holds the promise of transforming patient care, diagnostics, and medical research. Quantum-enhanced sensors, communication, and computation offer unprecedented capabilities that can revolutionize how healthcare services are delivered and experienced. This paper explores the potential of QIoT in the context of smart healthcare, where interconnected quantum-enabled devices and systems create an ecosystem that enhances data security, enables real-time monitoring, and advances medical knowledge. We delve into the applications of quantum sensors in precise health monitoring, the role of quantum communication in secure telemedicine, and the computational power of quantum computing in drug discovery and personalized medicine. We discuss challenges such as technical feasibility, scalability, and regulatory considerations, along with the emerging trends and opportunities in this transformative field. By examining the intersection of quantum technologies and smart healthcare, this paper aims to shed light on the novel approaches and breakthroughs that could redefine the future of healthcare delivery and patient outcomes. IEEE
Dear Editor,This letter addresses the synchronization problem of a class of delayed stochastic complex dynamical networks consisting of multiple drive and response *** aim is to achieve mean square exponential synchro...
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Dear Editor,This letter addresses the synchronization problem of a class of delayed stochastic complex dynamical networks consisting of multiple drive and response *** aim is to achieve mean square exponential synchronization for the drive-response nodes despite the simultaneous presence of time delays and stochastic noises in node dynamics.
ZrC_(x)-NbC_(y)-Cu composites were fabricated by pressure-less reactive infiltration of Zr-Cu binary melts into porous NbC preforms at 1300℃.The effect of Zr content in the infiltrator on microstructure of the as-syn...
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ZrC_(x)-NbC_(y)-Cu composites were fabricated by pressure-less reactive infiltration of Zr-Cu binary melts into porous NbC preforms at 1300℃.The effect of Zr content in the infiltrator on microstructure of the as-synthesized composites was *** properties of the composites were reported.A partial displacement of Nb atoms in NbC by Zr atoms from Zr-Cu melt occurs during the reaction between Zr-Cu melt and porous NbC *** formation of a core-shell structure suggests the reaction is mainly a dissolutionprecipitation *** dissolves into Zr-Cu melt,from which the(Nb,Zr)C_(z)phase precipitates and *** increasing Zr content in the Zr-Cu infiltrator,the reaction is enhanced and the infiltration is easily ***_(x)-NbC_(y)-Cu composite is synthesized using Zr_(14)Cu_(51)*** flexural strength and fracture toughness of ZrC_(x)-NbC_(y)-Cu composite reach 637 MPa and 12.7 MPa·m^(1/2),*** the improved toughness is probably attributed to residual Cu phase and plate-like Nb_(x)C_(y)phases.
Power is an issue that must be considered in the design of logic circuits. Power optimization is a combinatorial optimization problem, since it is necessary to search for a logical expression that consumes the least a...
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Power is an issue that must be considered in the design of logic circuits. Power optimization is a combinatorial optimization problem, since it is necessary to search for a logical expression that consumes the least amount of power from a large number of Reed-Muller(RM) logical expressions. The existing approach for optimizing the power of multi-output mixed polarity RM(MPRM) logic circuits suffer from poor optimization results. To solve this problem, a whale optimization algorithm with two-populations strategy and mutation strategy(TMWOA) is proposed in this paper. The two-populations strategy speeds up the convergence of the algorithm by exchanging information about the two-populations. The mutation strategy enhances the ability of the algorithm to jump out of the local optimal solutions by using the information of the current optimal solution. Based on the TMWOA, we propose a multi-output MPRM logic circuits power optimization approach(TMMPOA). Experiments based on the benchmark circuits of the Microelectronics Center of North Carolina(MCNC) validate the effectiveness and superiority of the proposed TMMPOA.
Quantum information technology exhibits advantages in terms of algorithm efficiency, communication security, and other aspects compared to classical information technology, partially due to quantum nonlocality, which ...
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As next-generation rechargeable alternatives,zincbased energy storage devices(ZESs)are being intensely explored due to their merits of abundant resource,low cost,safety and environmental ***,ZESs face a succession of ...
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As next-generation rechargeable alternatives,zincbased energy storage devices(ZESs)are being intensely explored due to their merits of abundant resource,low cost,safety and environmental ***,ZESs face a succession of critical challenges on pursuing advancing performance,including the stability and kinetics of cathode,stability and transport of zinc electrolyte,reversibility and deep utilization of metallic Zn ***,possessing unique molecular structures with abundant functionals groups,motivates the interdisciplinary field emerging from biomass and aqueous rechargeable *** its high compatibility with ZES design,we here summarize the application of biomass materials in ZESs from the aspects of cathode,electrolyte,membrane/separator and Zn anode,with their corresponding operational mechanisms and attractive functionalities from polymeric ***,the outlooks and perspectives are provided,regarding current challenges and future *** anticipate our minireview paves way on exploring the roles of biomass in aqueous rechargeable batteries.
Atmospheric water vapor is a critical component of the Earth's water cycle and has significant impacts on weather,climate,and atmospheric ***,deficiencies remain in the coverage and accuracy of water vapor *** thi...
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Atmospheric water vapor is a critical component of the Earth's water cycle and has significant impacts on weather,climate,and atmospheric ***,deficiencies remain in the coverage and accuracy of water vapor *** this study,we first retrieved the total column water vapor(TCWV)in the visible blue spectral band from two Chinese satellite UV-Vis spectrometers,the Environmental Trace Gases Monitoring Instruments(EMIs),which are onboard the Chinese GaoFen-5(GF-5,since May 2018)and GaoFen-5B(GF-5B,since September 2021)***,limited by factors such as the relatively lower spectral signal-to-noise ratio and weak absorption of water vapor,the accurate retrieval of TCWV from the EMI spectrum is rather ***,we improved the baseline TCWV retrieval based on the differential optical absorption technique,including the re-calibration of the on-orbit spectra,optimization of the spectral fitting,and bias correction in the fitted *** tests show that the mean retrieval TCWV error of the EMI decreased by 1.47 kg m-2compared to that using uncalibrated *** improved spectral fitting significantly reduced the relative uncertainty of the water vapor slant column densities(SCD)by 13.42%,and increased the number of successful fits by 11.64%.The improved EMI TCWV retrieval results from both the GF-5 and GF-5B satellites show a trend consistent with the TROPOspheric Monitoring Instrument(TROPOMI)satellite observations,with a correlation coefficient(R)of 0.98 and a mean bias of 1.04 kg m-2(6.88%).Ground-based validations showed that the correlation between the EMI TCWV retrievals from the GF-5B satellite(R=0.91)and sun photometer measurements was significantly higher than that from the GF-5 satellite(R=0.87),which may have been due to the improved performance of the EMI instrument on the GF-5B ***,we showed that an intense atmospheric river event could be successfully captured by EMI TCWV measurements,whi
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