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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

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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

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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

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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

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Image super‐resolution via dynamic network

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 837-849页

作者： Chunwei Tian Xuanyu Zhang Qi Zhang Mingming Yang Zhaojie Ju School of software Northwestern Polytechnical UniversityXi'anChina National Engineering Laboratory for Integrated Aero‐Space‐Ground‐Ocean Big Data Application Technology Xi'anChina research&Development Institute Northwestern Polytechnical UniversityShenzhenChina School of Economics and management Harbin Institute of Technology at WeihaiWeihaiChina Tencent AI Lab ShenzhenChina School of Computing University of PortsmouthPortsmouthUK

Convolutional neural networks depend on deep network architectures to extract accurate information for image super‐***,obtained information of these con-volutional neural networks cannot completely express predicted high‐quality images for complex scenes.A dynamic network for image super‐resolution(DSRNet)is presented,which contains a residual enhancement block,wide enhancement block,feature refine-ment block and construction *** residual enhancement block is composed of a residual enhanced architecture to facilitate hierarchical features for image super‐*** enhance robustness of obtained super‐resolution model for complex scenes,a wide enhancement block achieves a dynamic architecture to learn more robust information to enhance applicability of an obtained super‐resolution model for varying *** prevent interference of components in a wide enhancement block,a refine-ment block utilises a stacked architecture to accurately learn obtained ***,a residual learning operation is embedded in the refinement block to prevent long‐term dependency ***,a construction block is responsible for reconstructing high‐quality *** heterogeneous architecture can not only facilitate richer structural information,but also be lightweight,which is suitable for mobile digital *** results show that our method is more competitive in terms of performance,recovering time of image super‐resolution and *** code of DSRNet can be obtained at https://***/hellloxiaotian/DSRNet.

关键词： CNN dynamic network image super‐resolution lightweight network

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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

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Winner determination problem with loss-averse buyers in reverse auctions

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Frontiers of Engineering management 2017年第2期4卷 212-220页

作者： Xiaohu QIAN Min HUANG Yangyang YU Xingwei WANG College of Information Science and Engineering State Key Laboratory of Synthetical Automation for Process Industries Northeastern University research Institute of Business Analytics & Supply Chain management College of ManagementShenzhen University College of software Northeastern University

Reverse auctions have been widely adopted for purchasing goods and services. This paper considers a novel winner determination problem in a multiple-object reverse auction in which the buyer involves loss-averse behavior due to uncertain attributes. A corresponding winner determination model based on cumulative prospect theory is proposed. Due to the NP-hard characteristic, a loaded route strategy is proposed to ensure the feasibility of the model. Then, an improved ant colony algorithm that consists of a dynamic transition strategy and a Max-Min pheromone strategy is designed. Numerical experiments are conducted to illustrate the effectiveness of the proposed model and algorithm. We find that under the loaded route strategy, the improved ant colony algorithm performs better than the basic ant colony algorithm. In addition, the proposed model can effectively characterize the buyer's loss-averse behavior.

关键词： reverse auction loss aversion winner determination improved ant colony algorithm

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Residential Appliance Detection Using Attentionbased Deep Convolutional Neural Network

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CSEE Journal of Power and Energy Systems 2022年第2期8卷 621-633页

作者： Chunyu Deng Kehe Wu Binbin Wang China Electric Power research Institute Beijing 100192China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China software College Northeastern UniversityShenyang 110169China

Improving energy efficiency management has become an important task for current electricity market participating entities,and monitoring consumption of pivotal appliances plays an important role in many *** paper focuses on detecting whether a residence possesses a certain type of appliance based on their electricity consumption and the problem of class imbalance within deep learning model training for large power appliances with the state‘ON’.We propose a datadriven deep learning approach with attention mechanism to detect residential appliances from low-resolution aggregate energy consumption ***,the historical consumption profile of each user is divided into a specific length and labeled with the status of an appliance to generate training and test ***,a deep convolutional neural network model with attention mechanism is trained,and the trained model is utilized to classify the test ***,we obtain appliance status in a residence based on classification of multiple ***,we propose a novel approach of data generation for class imbalance of appliance detection using generative adversarial *** order to guarantee the quality,we devise a mechanism of self-validation to ensure generated data approximating real distribution of minor class *** are conducted on a low-frequency smart meter data set sampled once every 30 minutes,and the results show that the proposed model performs better than hidden Markov model based algorithms and has good application prospects.

关键词： Appliance detection attention class imbalance convolutional neural network deep learning

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A model of techno-economic evaluation for eco-industrial park project

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Ecological Economy 2006年第4期2卷 357-364页

作者： Cai Xiaojun Wang Yan Economics ＆ management School Beijing Unversity of Technology Beijing 100022 P.R. China School of software and Microelectronics Peking University Beijing 102600 P.R. China

An eco-industrial park or estate is a community of manufactaring and service businesses located together on a common property. The goat of ElP is to create a win-win harmonious development aspect of ecooomic development and environmental protection. This paper emphasizes that the external .effect of an EIP is its main characteristic of technoeconomic evaluation for eco-industrial park project. From the view of the property, rights, the EIP＇s product is typicalty public-private. The government should take some *** for the quantitative analysis on ecological positive externalities of the enterprises in EIP, and also should adopt Coase＇s Theorem, which supports that the market transaction is the best way to deal with positive externalities （external economics or diseconoraics）, or Pigou＇s Theorem, which holds that the government anti-positive externalities programs are the best way to cope with positive externalities, to internalize the EIP＇s external effects, which is also a fundamental tool to encourage investors to actively invest in EIP projects, Furthermore. this paper thinks that the EIP ＇s income should be equal to the income of staple products of the private property, and that of its by-products of the public property. According to this principle, this paper has put forward three major indicators, net present value （NPV）, internal rate of renan （IRR）, and investment repayment period （IRP）, which are also extensively used indicators in ardinary project techno-economic evaluation model to evaluate EIP technoeconomic effects. Theoretically, the indicatory not only can be used in EIP project evaluation, but also can provide a quantitative measure toot for the government to support EIP＇s construction to the maximum. In the end. a case is analyzed.

关键词： Circular economy Eco-industrial park Eco-industry Techno-economic evaluation project evaluation

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Learning from Defects in Design and Build Hospital projects in Malaysia

Learning from Defects in Design and Build Hospital Projects ...

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2011 International Conference on Social Science and Humanity（ICSSH 2011）

作者： Haryati Mohd Isa Padzil Fadzil Hassan Masnizan Che Mat Zarina Isnin Zulkifli Sapeciay research and Postgraduate Department MARA University of Technology Selangor Malaysia Centre for Construction project & Infrastructure management MARA University of Technology Selangor Malaysia

Defects detected during the Defects Liability Period of a construction project suggest that the project management team have not managed the project effectively somewhere during the project implementation ***,especially those with little project management experience are usually at a lost in trying to configure how this should be dealt *** issue relating to construction defects can be vexing and time consuming,but clients are frequently pressed for time to occupy and operate the ***,they unusually end up rectifying most of the defects themselves and at their own *** appreciating the need to resolve this continuing problem in design and build public hospital construction projects in Malaysia,a research was mooted to learn from the study of defects and investigate how best defects can be *** study aim is to understand the nature of the defects to track their root *** Malaysian public hospitals are chosen as the case *** structured interview with the senior hospital management representatives were conducted to understand the reasons underpinning the *** findings suggest that with a comprehensive methodology in place,defects can be effectively traced and categorized to track their *** this is in place,clients can have better recourse to address the issue of defects,particularly with respect to how the defects can be managed,who should be responsible and what not to be repeated in future.

关键词： Construction defects design and build public hospital Malaysia Defects Liability Period

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