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Framework for understanding intention-unbreakable malware

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Science China(Information Sciences) 2023年第4期66卷 174-192页

作者： Tiantian JI Binxing FANG Xiang CUI Zhongru WANG Peng LIAO Shouyou SONG Key Laboratory of Trustworthy Distributed co.puting and Service(BUPT) Ministry of Education Beijing University of Posts and Telecommunications Cyberspace Institute of Advanced Technology Guangzhou University Chinese Academy of Cyberspace Studies Beijing Dig Apis Technology co. Ltd.

The anti-analysis technology of malware has always been the focus in the cyberspace security field. As malware analysis techniques evolve, malware writers co.tinually employ sophisticated anti-reverse engineering techniques to defeat and evade state-of-the-art analyzers. Therefore, to prepare for unknown attacks, studying malware analysis techniques is insufficient. More importantly, we should study new antianalysis techniques for malware. This paper expands the co.cept of anti-analysis malware and defines a type of intention-unbreakable malware(IUM). To help defenders fully understand and establish a defense system against the new security threats, this paper systematically discusses IUM from the perspectives of threat disco.ery, threat modeling, attribute analysis, and threat assessment; in addition, this study also provides the Po C implementations of IUM and demonstrates how attackers can use this type of malware to evade advanced security analysis, that is, accurate identification of target(class) victims and intention co.cealment in reaching non-target(class) victims. Finally, this paper provides several mitigation directions for co.bating IUM.

关键词： malware unbreakable property modeling mechanism accurate identification intention co.cealment

Network Modeling and Operation Optimization of Electricity-HCNG-Integrated Energy System

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CSEE Journal of Power and Energy Systems 2023年第4期9卷 1251-1265页

作者： Yue Qiu Suyang Zhou Wei Gu Yuping Lu Xiao-Ping Zhang Gaoyan Han Kang Zhang Hongkun Lyu School of Electrical Engineering Southeast UniversityNanjing 210096China School of Electronic Electrical and Systems Engineering University of BirminghamBirminghamUK. Institute of State Grid Zhejiang Electric Power co. Ltd.Hangzhou 310014China

Hydrogen-enriched co.pressed natural gas(HCNG)has great potential for renewable energy and hydrogen ***,injecting hydrogen into the natural gas network will change original fluid dynamics and co.plicate co.pressed gas's physical properties,threatening operational safety of the electricity-HCNG-integrated energy system(E-HCNG-IES).To resolve such problem,this paper investigates effect of HCNG on gas network dynamics and presents an improved HCNG network model,which embodies the influence of blending hydrogen on the pressure drop equation and line pack *** addition,an optimal dispatch model for the E-HCNG-IES,co.sidering the“production-storage-blending-transportation-utilization”link of the HCNG supply chain,is also *** dispatch model is co.verted into a mixed-integer seco.d-order co.ic programming(MISOCP)problem using the seco.d-order co.e(SOC)relaxation and piecewise linearization *** iterative algorithm is proposed based on the co.vex-co.cave procedure and bound-tightening method to obtain a tight ***,the proposed methodology is evaluated through two E-HCNGIES numerical testbeds with different hydrogen volume *** operation analysis reveals that E-HCNG-IES can benefit from eco.omic and environmental improvement with increased hydrogen volume fraction,despite declining energy delivery capacityand line pack flexibility.

关键词： Electricity-HCNG-integrated energy system(E-HCNG-IES) hydrogen-enriched co.pressed natural gas(HCNG) improved HCNG network model optimal dispatch.

A selective co.marin-based “turn-on” fluorescent sensor for the detection of cysteine and its applications for bioimaging

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Chinese Chemical Letters 2017年第10期28卷 2023-2026页

作者： Yan Yang Huan Wang Yu-Lin Wei Jie Zhou Jun-Feng Zhang Ying Zhou co.lege of Chemical Science and Technology Yunnan University co.lege of Chemistry and Chemical Engineering Yunnan Normal University Department of Safety Evaluation Technology Center of China Tobacco Yunnan Industrial Co. Ltd.

A co.marin-based co.pound（1） was designed and synthesized as a new turn-on fluorescent probe for the detection of cysteine. The probe exhibited higher selectivity towards the target molecule over other thiol and amino acids at pH 7.2 in aqueous media CH_3CN-HEPES（0.02 mol/L, pH 7.2, 1：9, v/v）. The reaction mechanism is attributed to the cysteine-induced S_NAr substitution-rearrangement reaction. Remarkable enhancement of up to 20-fold in fluorescence intensity was achieved in the detection of cysteine. When applied for the fluorescence imaging of cysteine, the co.pound 1 emitted a green fluorescence in Hi5 cell cytoplasm. The in vivo imaging of Caenorhabditis elegans had further co.firmed the cysteine detection by co.pound 1.

关键词： Fluorescence Sensor Cysteine co.marin In vivo imaging

Synthesis of new pyrimidine nucleoside derivatives with nitric oxide donors for antiviral activity

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Chinese Chemical Letters 2011年第8期22卷 899-902页

作者： Jing Bo Shi Song Xu Ya Ping Wang Jing Jing Li Qi Zheng Yao School of Pharmacy China Pharmaceutical University Naniing 210009 China School of Pharmacy Anhui Medical University Hefei 230032 China Anhui Zhaoke Pharmaceutical co. Ltd. Hefei 230088 China

New pyrimidine nucleoside derivatives with nitric oxide（NO） donor were systematically *** antivirus activities of these nucleoside analogues against vesicular stomatitis virus（VSV） in Wish cell were *** was demonstrated that most of co.pounds had stronger antiviral acitivity than acyclovir,while their toxicities were similar or lower to acyclovir.

关键词： Pyrimidine nucleoside NO-donor Antivirus Furoxans Oximes Synthesis

Effect of cathodic potential on stress co.rosion cracking behavior of different heat-affected zone microstructures of E690 steel in artificial seawater

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Journal of Materials Science & Technology 2021年第5期64卷 141-152页

作者： Yong Li Zhiyong Liu Endian Fan Yunhua Huang Yi Fan Bojie Zhao National Materials co.rosion and Protection Data Center University of Science and Technology BeijingBeijing 100083China Jiangsu key laboratory for premium steel material Nanjing Iron&Steel United Co.Ltd.Nanjing 210035China

In this work,the stress co.rosion cracking(SCC)behavior of E690 steel base metal(BM)and different heat-affected zone(HAZ)microstructures,i.e.,co.rse grain HAZ(CGHAZ),fine grain HAZ(FGHAZ),and intercritical HAZ(ICHAZ),was investigated at different cathodic potentials in artificial seawater by slow strain rate tensile tests,scanning electron microsco.y and electron back-scattered diffraction *** results show that the HAZ microstructures and BM exhibit different SCC susceptibilities:FGHAZco.trolled by anodic dissolution(AD)at the open circuit *** the cathodic potential equaling to-750 mV,the SCC susceptibility of the four microstructures increases because of the synergistic effect of AD and weak hydrogen embrittlement(HE).At-850 mV,AD is inhibited,and the SCC susceptibility of BM decreases,while the SCC susceptibility of the HAZ microstructures *** a potential below-850 mV,the SCC susceptibility of the four microstructures gradually increases because of the augment of HE,and the SCC susceptibility of the HAZ microstructures is higher than that of *** distinction reveals that the HAZ microstructures have the greater HE susceptibility than BM.

关键词： Low-carbon bainite steel Heat-affected zone microstructure Cathodic potential Stress co.rosion cracking Hydrogen embrittlement

PMD co.pensation using birefringence photonic crystal fiber in 40Gbit/s optical co.munication system

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Optoelectronics Letters 2008年第1期4卷 30-32页

作者： CHEN Ming YANG Si-gang LI Jin-yan CHEN Wei XIE Shi-zhong Department of Electronic Engineering of Tsinghua University Beijing 100084 China Fiber Home Teleco.munication Technologies co. ltd Wuhan Research Institute of Post and TelecommunicationsWuhan 430074 China

A birefringence photonic crystal fiber is used for PMD co.pensation in a single-channel 40Gbit/s-speed optical co.muni- cation system with CSRZ format. The experimental results of transmission show that the PMD co.pen... 详细信息

关键词：光通信系统双折射光子晶体光纤光纤通信偏振模式散射

An artificial visco.ity augmented physics-informed neural network for inco.pressible flow

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Applied Mathematics and Mechanics(English Edition) 2023年第7期44卷 1101-1110页

作者： Yichuan HE Zhicheng WANG Hui XIANG Xiaomo JIANG Dawei TANG Key Laboratory of Ocean Energy Utilization and Energy co.servation of Ministry of Education School of Energy and Power EngineeringDalian University of TechnologyDalian 116024Liaoning ProvinceChina *** Times Technology(Beijing)co. Ltd.Beijing 100080China

Physics-informed neural networks(PINNs)are proved methods that are effective in solving some strongly nonlinear partial differential equations(PDEs),e.g.,Navier-Stokes equations,with a small amount of boundary or interior ***,the feasibility of applying PINNs to the flow at moderate or high Reynolds numbers has rarely been *** present paper proposes an artificial visco.ity(AV)-based PINN for solving the forward and inverse flow ***,the AV used in PINNs is inspired by the entropy visco.ity method developed in co.ventional co.putational fluid dynamics(CFD)to stabilize the simulation of flow at high Reynolds *** newly developed PINN is used to solve the forward problem of the two-dimensional steady cavity flow at Re=1000 and the inverse problem derived from two-dimensional film *** results show that the AV augmented PINN can solve both problems with good accuracy and substantially reduce the inference errors in the forward problem.

关键词： physics-informed neural network(PINN) artificial visco.ity(AV) cavity driven flow high Reynolds number

Solute clusters-promoted strength-ductility synergy in Al-Sc alloy

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Journal of Materials Science & Technology 2022年第1期96卷 325-331页

作者： Chong Yang Pengming Cheng Baoan Chen Jinyu Zhang Gang Liu Jun Sun State Key Laboratory for Mechanical Behavior of Materials Xi’an Jiaotong UniversityXi’an 710049China State Key Laboratory of Advanced Power Transmission Technology Global Energy Interconnection Research Institute Co.Ltd.Beijing 102209China

Sc solute clusters with a high number density were produced in an Al-0.3 wt.%Sc alloy when aged at250℃,while fine Al_(3)Sc precipitates were predominantly formed in the same alloy aged at 300℃.The alloy strengthened by Sc solute clusters displayed higher yield strength and simultaneously greater ductility than its co.nterpart strengthened by Al_(3)Sc *** clearly demonstrates a superior strengthductility synergy promoted by the Sc solute clusters in Al-Sc *** effects of Al_(3)Sc precipitates and Sc solute clusters on ductility were discussed in co.parison by using a micromechanics fracture *** the Sc clusters were stabilized at 250℃,the Al-Sc alloys strengthened by Sc solute clusters should find extensive application fields within a wide temperature range,due to their high temperature resistance.

关键词： Al-Sc alloy Solute clusters Strength Ductility Micromechanics model

Whole process prediction model of silico. steel strip on transverse thickness difference based on Takagi-Sugeno fuzzy network

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Journal of Iron and Steel Research International 2023年第12期30卷 2448-2458页

作者： Hai-nan He Zhuo-hao Dai Xiao-chen Wang Quan Yang Jian Shao Jing-dong Li Zhi-hong Zhang Liang Zhang National Engineering Technology Research Center of Flat Rolling Equipment University of Science and Technology BeijingBeijing100083China Handan Iron and Steel co.pany of Hebei Iron and Steel Group co. Ltd.Handan056015HebeiChina

The hot rolling and co.d rolling co.trol models of silico. steel strip were *** co.trol of silico. steel strip of hot rolling was a theoretical analysis model,and the shape co.trol of co.d rolling was a data-based prediction *** mathematical model of the hot-rolled silico. steel section,including the crown genetic model,inter-stand crown reco.ery model,and hot-rolled strip section prediction model,is used to co.trol the shape of hot-rolled *** co.d rolling shape co.trol is mainly based on Takagi-Sugeno fuzzy network,which is used to simulate and predict the transverse thickness difference of co.d-rolled silico. steel ***,a predictive model for the transverse thickness difference of silico. steel strips is developed to provide a new quality co.trol method of transverse thickness of co.bined hot and co.d rolling to improve the strip profile quality and increase eco.omic *** qualified rate of the non-oriented silico. steel strip is finally obtained by applying this model,and it has been steadily upgraded to meet the needs of product quality and flexible production.

关键词： Hot rolling-Strip profile Transverse thickness difference Silico. steel.Takagi-Sugeno fuzzy network