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Quantum Secure Undeniable Signature for Blockchain-Enabled Cold-Chain Logistics System

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Computers, Materials & Continua 2023年第5期75卷 3941-3956页

作者： Chaoyang Li Hongxue Shen Xiayang Shi Hui Liang College of software Engineering Zhengzhou University of Light IndustryZhengzhou450001China

Data security and user privacy are two main security concerns in the cold-chain logistics system(CCLS).Many security issues exist in traditional CCLS,destroying data security and user *** digital signature can provide data verification and identity authentication based on the mathematical difficulty problem for logistics data sharing in *** paper first established a blockchain-enabled cold-chain logistics system(BCCLS)based on union blockchain technology,which can provide secure data sharing among different logistics nodes and guarantee logistics data security with the untampered blockchain ***,a lattice-based undeniable signature scheme is designed to strengthen the security of logistics data and user privacy against quantum *** scheme is based on the lattice assumption,which can provide anti-quantum security for BCCLS in the future quantum computer *** also establishes the undeniable mechanism that guarantees that the actual signer cannot deny a valid ***,security proof shows that this undeniable signature scheme is correct and safe,and an efficiency comparison shows that it is more efficient than other schemes in similar *** performance evaluations of transaction throughput and latency show that the proposed BCCLS is efficient and *** work can improve the security and efficiency of logistics data management and promote the reform and development of the logistics industry.

关键词： Undeniable signature cold-chain logistics system blockchain privacy-preserving

Variable-length sequential dynamic features-based malware detection

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High Technology Letters 2016年第4期22卷 362-367页

作者：杜冬高 Li Gaochao Ma Yan Network and Information Center Institute of Network TechnologyBeijing University of Posts and Telecommunications National Computer Network Emergency Response Technical team/Coordination Center of China Institute of Information Engineering Chinese Academy of Sciences Beijing Key Laboratory of Intelligent Telecommunications software and Multimedia Beijing University of Posts and Telecommunications

In order to solve the problem that traditional signature-based malware detection systems are inefficacious in detecting new malware,a practical malware detection system is constructed to find out new malware. Application programming interface( API) call sequence is introduced to capture activities of a program in this system. After that,based on variable-length n-gram,API call order can be extracted from API call sequence as the malicious behavior feature of a software. Compared with traditional methods,which use fixed-length n-gram,the solution can find more new malware. The experimental results show that the presented approach improves the accuracy of malware detection.

关键词： application programming interface(API) call order variable-length n-gram malware detection

Suggestion of Criteria and Certification Process to Secure the Safety of Railway software

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Journal of Energy and Power Engineering 2012年第5期6卷 809-816页

作者： Eui Jin Joung Advanced EMU research team Korea Railroad Research Institute Uiwang 360-1 Korea

One of the significant differences between the digital system and the analog system is software. The software takes charge of the functions and the management of the digital system. Nowadays railway equipment has begun to be designed and implemented based on digital technology with online and real time performance to achieve high speed and high density operation. The software is designed, coded and implemented into the system, and controls hardware components in order to satisfy the functional requirements of the system. As the functions that are implemented by software are increased, it becomes very difficult to predict the soil-ware failures because of its complexity. Therefore, it has become one of the key issues how to assure that the sottware is reliable, safe and secure. In this paper, the safety criteria are suggested to secure the software safety for the field of railway system. Characteristic of railway software and review safety related standards are analyzed. The authors also suggest development methodology and certification procedure for the developer and assessor to easily make safety critical railway software with following the safety criteria.

关键词： Railway software safety critical safety criteria development methodology certification.

PIMS:An Efficient Process Integrity Monitoring System Based on Blockchain and Trusted Computing in Cloud-Native Context

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Computer Modeling in Engineering & Sciences 2023年第8期136卷 1879-1898页

作者： Miaomiao Yang Guosheng Huang Junwei Liu Yanshuang Gui Qixu Wang Xingshu Chen Cyber Science research Institute of Sichuan University Chengdu610207China Cyber Science and Engineering of Sichuan University Chengdu610207China China Mobile(Suzhou)software Technology China MobileSuzhou215163China

With the advantages of lightweight and high resource utilization,cloud-native technology with containers as the core is gradually becoming themainstreamtechnical architecture for information ***,malware attacks such as Doki and Symbiote threaten the container runtime’s *** initiates various types of runtime anomalies based on process form(e.g.,modifying the process of a container,and opening the external ports).Fortunately,dynamic monitoring mechanisms have proven to be a feasible solution for verifying the trusted state of containers at ***,the current routine dynamic monitoring mechanisms for baseline data protection are still based on strong security *** a result,the existing dynamicmonitoringmechanismis still not practical *** ensure the trustworthiness of the baseline value data and,simultaneously,to achieve the integrity verification of the monitored process,we combine blockchain and trusted computing to propose a process integrity monitoring system named ***,the hardware TPM 2.0 module is applied to construct a trusted security foundation for the integrity of the process code segment due to its tamper-proof ***,design a new format for storing measurement logs,easily distinguishing files with the same name in different containers from log ***,the baseline value data is stored on the blockchain to avoidmalicious ***,trusted computing technology is used to perform fine-grained integrity measurement and remote attestation of processes in a container,detect abnormal containers in time and control *** have implemented a prototype system and performed extensive simulation experiments to test and analyze the functionality and performance of the *** results show that PIMS can accurately and efficiently detect tampered processes with only 3.57% performance loss to the container.

关键词： Blockchain-based protection dynamic monitoring remote attestation integrity verification

Local Community Detection Using Link Similarity

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Journal of Computer Science & Technology 2012年第6期27卷 1261-1268页

作者：吴英骏黄翰郝志峰陈丰 School of software Engineering South China University of Technology Department of management Sciences College of BusinessCity University of Hong Kong Faculty of Computer Science Guangdong University of Technology School of Journalism and Communication South China University of Technology

Exploring local community structure is an appealing problem that has drawn much recent attention in the area of social network analysis. As the complete information of network is often difficult to obtain, such as networks of web pages, research papers and Facebook users, people can only detect community structure from a certain source vertex with limited knowledge of the entire graph. The existing approaches do well in measuring the community quality, but they are largely dependent on source vertex and putting too strict policy in agglomerating new vertices. Moreover, they have predefined parameters which are difficult to obtain. This paper proposes a method to find local community structure by analyzing link similarity between the community and the vertex. Inspired by the fact that elements in the same community are more likely to share common links, we explore community structure heuristically by giving priority to vertices which have a high link similarity with the community. A three-phase process is also used for the sake of improving quality of community structure. Experimental results prove that our method performs effectively not only in computer-generated graphs but also in real-world graphs.

关键词： social network analysis community detection link similarity

A Review on the Architecture of software Defined Network

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Chinese Journal of Electronics 2018年第6期27卷 1111-1117页

作者： LIN Chuang HU Jie LI Guoliang CUI Laizhong College of Computer Science and software Engineering Shenzhen University Department of Computer Science and Technology Tsinghua University

software defined network(SDN) is a promising network architecture which can simplify network management, ease deployment of network applications, and enable independent evolution of control plane and data plane. However, the separation of control plane and data plane intensifies performance concerns. In this paper, we review the performance of SDN from the perspective of I Ching which has a history of more than two and half millennia of commentary and interpretation, and provides inspiration to the worlds of business, military and religion. We utilize I Ching to model and abstract the architecture of SDN, and discuss the architecture and performance of SDN based on the statements of I Ching. Then we study current works and researches on the performance and architecture of SDN, and discuss the promising directions to the development and evolvement of SDN. Finally,we study common control functions in SDN and the deployment of SDN in different networking settings.

关键词： software defined networking(SDN) Network architecture I Ching

Face Anti-Spoofing with Unknown Attacks:A Comprehensive Feature Extraction and Representation Perspective

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Journal of Computer Science & Technology 2024年第4期39卷 827-840页

作者： Li-Min Li Bin-Wu Wang Xu Wang Peng-Kun Wang Yu-Dong Zhang Yang Wang School of software Engineering University of Science and Technology of ChinaHefei 230000China School of Data Science University of Science and Technology of ChinaHefei 23000China Suzhou Institute for Advanced research University of Science and Technology of ChinaSuzhou 215000China

Face anti-spoofing aims at detecting whether the input is a real photo of a user(living)or a fake(spoofing)*** new types of attacks keep emerging,the detection of unknown attacks,known as Zero-Shot Face Anti-Spoofing(ZSFA),has become increasingly important in both academia and *** ZSFA methods mainly focus on extracting discriminative features between spoofing and living ***,the nature of the spoofing faces is to trick anti-spoofing systems by mimicking the livings,therefore the deceptive features between the known attacks and the livings,which have been ignored by existing ZSFA methods,are essential to comprehensively represent the ***,existing ZSFA models are incapable of learning the complete representations of living faces and thus fall short of effectively detecting newly emerged *** tackle this problem,we propose an innovative method that effectively captures both the deceptive and discriminative features distinguishing between genuine and spoofing *** method consists of two main components:a two-against-all training strategy and a semantic *** two-against-all training strategy is employed to separate deceptive and discriminative *** address the subsequent invalidation issue of categorical functions and the dominance disequilibrium issue among different dimensions of features after importing deceptive features,we introduce a modified semantic *** autoencoder is designed to map all extracted features to a semantic space,thereby achieving a balance in the dominance of each feature *** combine our method with the feature extraction model ResNet50,and experimental results show that the trained ResNet50 model simultaneously achieves a feasible detection of unknown attacks and comparably accurate detection of known *** results confirm the superiority and effectiveness of our proposed method in identifying the living with the interference of both known

关键词： face anti-spoofing spoof detection zero-shot learning convolutional neural network deep learning

Spatial Patterns and Controlling Factors of Soil Organic Carbon and Total Nitrogen in the Three River Headwaters Region,China

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Chinese Geographical Science 2025年第1期35卷 131-148页

作者： CUI Qiao LI Zongxing FENG Qi ZHANG Baijuan ZHAO Yue Observation and research Station of Eco-Hydrology and National Park by Stable Isotope Tracing in Qilian Mountains/Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000China University of Chinese Academy of Sciences Beijing 100049China College of Geography and Environmental Science Northwest Normal UniversityLanzhou 730070China

The alpine ecosystem has great potential for carbon *** organic carbon(SOC)and total nitrogen(TN)are highly sensitive to climate change,and their dynamics are crucial to revealing the effect of climate change on the structure,function,and services of the ***,the spatial distribution and controlling factors of SOC and TN across various soil layers and vegetation types within this unique ecosystem remain inadequately *** this study,256 soil samples in 89 sites were collected from the Three River Headwaters Region(TRHR)in China to investigate SOC and TN and to explore the primary factors affecting their distribution,including soil,vegetation,climate,and geography *** results show that SOC and TN contents in 0-20,20-40,40-60,and 60-80 cm soil layers are 24.40,18.03,14.04,12.40 g/kg and 2.46,1.90,1.51,1.17 g/kg,respectively;with higher concentrations observed in the southeastern region compared to the northwest of the ***-way analysis of variance reveals that SOC and TN levels are elevated in the alpine meadow and the alpine shrub relative to the alpine steppe in the 0-60 cm soil *** structural equation model explores that soil water content is the main controlling factor affecting the variation of SOC and ***,the geography,climate,and vegetation factors notably indirectly affect SOC and TN through soil ***,it can effectively improve soil water and nutrient conditions through vegetation restoration,soil improvement,and grazing management,and the change of SOC and TN can be fully understood by establishing monitoring networks to better protect soil carbon and nitrogen.

关键词： controlling factors different soil layers soil organic carbon(SOC) soil total nitrogen(TN) alpine ecosystem the Three River Headwaters Region(TRHR),China

AvoidPwd: A Mnemonic Password Generation Strategy Based on Keyboard Transformation

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China Communications 2022年第10期19卷 92-101页

作者： Shunying Lyu Qian Yao Jianhua Song School of Computer Science and Information Engineering Hubei University430062 WuhanChina Engineering and Technical research Center of Hubei Province in Educational Informatization 430062 WuhanChina Engineering and Technical research Center of Hubei Province in software Engineering 430062 WuhanChina Engineering research Center of Hubei Province in Intelligent Government Affairs and Application of Artificial Intelligence 430062 WuhanChina

Identity authentication is the first line of defense for network *** have been the most widely used authentication method in recent *** there are security risks in passwords,they will be the primary method in the future due to their simplicity and low *** the security and usability of passwords,we propose AvoidPwd,which is a novel mnemonic password generation strategy that is based on keyboard *** helps users customize a“route”to bypass an“obstacle”and choose the characters on the“route”as the final ***“obstacle”is a certain word using any language and the keys adjacent to the“obstacle”are typed with the“Shift”key.A two-part experiment was conducted to examine the memorability and security of the AvoidPwd strategy with other three password strategies and three leaked password *** results showed that the passwords generated by the AvoidPwd strategy were more secure than the other leaked password ***,AvoidPwd outperformed the KbCg,SpIns,and Alphapwd in balancing security and *** addition,there are more symbols in the character distribution of AvoidPwd than the other *** is hopeful to solve the security problem that people are difficult to remember symbols and they tend to input letters and digits when creating passwords.

关键词： password generation strategy password security mnemonic passwords