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Article
Open AccessF3l: an automated and secure function-level low-overhead labeled encrypted traffic dataset construction method for IM in Android
Fine-grained function-level encrypted traffic classification is an essential approach to maintaining network security. Machine learning and deep learning have become mainstream methods to analyze traffic, and ...
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Chapter
Decoding Culture-Embedded Urban Forms: A Hierarchical Analysis of Dongguan Street Area in Dalian, China
Dalian is one of the most important cities in north-eastern China, integrating commerce, transportation, tourism and other industrial modes. Over its long history, the city has been shaped by diverse economic ...
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Chapter and Conference Paper
Real-Time Platform Identification of VPN Video Streaming Based on Side-Channel Attack
The video platforms that users watch leak the privacy of their preferences. More and more video streaming is being encrypted to protect users’ privacy. In addition, many users use VPN to enhance their privacy ...
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Chapter and Conference Paper
An Accurate and Real-Time Detection Method for Concealed Slow HTTP DoS in Backbone Network
Slow HTTP DoS (SHD) is a type of DoS attack based on HTTP/HTTPS. SHD traffic at the application layer may be encrypted. Besides, the interval between packets can reach tens of seconds or more due to its slow s...
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Article
Towards verifiable and privacy-preserving account model on a consortium blockchain based on zk-SNARKs
With high efficiency, low overhead, and high scalability, consortium blockchains have been gradually and deeply applied in various fields of society. Privacy preservation and information verifiability are esse...
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Article
Open AccessExpression of IL-13Rα2 and FUS in glioma: clinicopathological and prognostic correlation
IL-13Rα2 is one of the most widely studied tumor-associated antigens in glioma research. Fused in sarcoma (FUS) is a DNA/RNA binding protein that is dysfunctional in various malignant tumors. However, the expr...
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Article
Union-net: lightweight deep neural network model suitable for small data sets
Traditional deep learning models prefer large data sets, and in reality small data sets are easier to obtain. It is more practical to build models suitable for small data sets. Based on CNN, this paper propose...
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Chapter and Conference Paper
Position Optimization Simulation of High Voltage Bushing Outlet Stress Cone Based on Simdroid Software
At present, high voltage bushing manufacturers mostly rely on historical experience in product design, which leads to unknown physical field quantification distribution of local insulation structure and lack o...
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Chapter and Conference Paper
Multi-objective Optimal Planning for Park-Level Integrated Energy System Coupling with Electric Vehicle Charging Stations
The research on the source-demand coordination of electric vehicle charging stations (EVCSs) connected to the park-level integrated energy system (PLIES) is of great significance for the development of optimal...
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Article
Open AccessMonitored anesthesia care and asleep-awake-asleep techniques combined with multiple monitoring for resection of gliomas in eloquent brain areas: a retrospective analysis of 225 patients
Awake craniotomy (AC) has become gold standard in surgical resection of gliomas located in eloquent areas. The conscious sedation techniques in AC include both monitored anesthesia care (MAC) and asleep-awake-...
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Article
Variance reduction on general adaptive stochastic mirror descent
In this work, we propose a simple and generalized algorithmic framework for applying variance reduction to adaptive mirror descent algorithms for faster convergence. We introduce the SVRAMD algorithm, and prov...
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Article
Simulation and experimental research on extra-squeeze forming method during gradient sand molding
The flexible extrusion forming process (FEFP) is a sand mold patternless manufacturing technology that enables digital near-net sha** of complex sand molds. But, it is difficult to achieve the gradient sand ...
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Article
Hydrogen adsorption in phase and grain boundaries of pearlitic steels and its effects on tensile strength
Molecular dynamic simulations are invoked to study hydrogen (H) adsorption as well as its effects on the strength of pearlitic steels. In particular, the effects of H on the strength of the cementite (Fe3C)–ferri...
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Chapter and Conference Paper
Higher Layers, Better Results: Application Layer Feature Engineering in Encrypted Traffic Classification
Encrypted traffic has become the primary carrier of network transmission, and encrypted traffic classification is essential for advanced network management and security protection. Existing studies mainly focu...
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Chapter and Conference Paper
NT-RP: A High-Versatility Approach for Network Telemetry Based on FPGA Dynamic Reconfigurable Pipeline
Network telemetry provides more accurate and reliable services for intelligent network control by pushing fresh status information actively with help of data plane. However, most existing network telemetry met...
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Article
SFIM: Identify user behavior based on stable features
The development of smartphones and social networks has brought great convenience to our lives. Due to the increasing requirements of user privacy, user data are protected by encryption protocol. Nevertheless, ...
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Article
Adaptive Tracking Design of NCS with Time-varying Signals Using Fuzzy Inverse Model
Tracking control of time-varying signal is a very challenging problem for the network environment applications. An adaptive control strategy based on the inverse of fuzzy singleton model is proposed in the pap...
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Article
Open AccessReduction of SCUBE3 by a new marine-derived asterosaponin leads to arrest of glioma cells in G1/S
Many saponins are characterized as exhibiting a wide spectrum of antitumor activities at low concentrations. Most of the previous studies that aimed to understand the mechanisms underlying anticancer saponins ...
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Article
Cu–Sn–Zn nanocomposite coatings prepared by TiO2 sol-enhanced electrodeposition
Cu–Sn–Zn (CSZ) coatings are widely applied in communication devices due to their excellent performance in electrical/thermal conductivity, solderability, and corrosion resistance. Particularly, a novel TiO2–sol-e...
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Article
Bayesian Fusion Estimation via t Shrinkage
Shrinkage prior has gained great successes in many data analysis, however, its applications mostly focus on the Bayesian modeling of sparse parameters. In this work, we will apply Bayesian shrinkage to model h...
