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Stability Analysis of a Rumor Propagation Model in Complex Networks with Holling II Type Functional Response

Stability Analysis of a Rumor Propagation Model in Complex N...

引用

International Conference on Big Data and Information Analytics (BigDIA)

作者： Ze Yu Gang Zhou Junyong Luo Mengli Zhang Ningbo Huang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781665422321

ISBN: (纸本)9781665446662

In this paper, we propose a SH2I2 rumor propagation model considering self-learning mechanism and echo chamber situation with Holling type II functional response in homogeneous and heterogeneous networks. Firstly, we obtain the basic reproduction number through Jacobian Matrix method and calculate the equilibrium points. Secondly, we prove the existence of rumor-prevailing equilibrium point as well as the local and globally stabilities by Routh-Huiwitz judgment and Lyapunov function. Finally, we use theoretical analysis and numerical simulations to investigate the effect of parameters for suppressing the prevalence of rumors.

关键词： Jacobian matrices Numerical simulation Stability analysis Heterogeneous networks Numerical models Numerical stability Lyapunov methods

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Crop Enclave Interface for SGX Programs

Crop Enclave Interface for SGX Programs

引用

IEEE International Conference on Joint Cloud computing (JCC)

作者： Yaqi Fan Zhifeng Chen Qingbao Li Wenbo Deng State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

Existing memory attacks against SGX use the enclave interface, such as ECALLs and OCALLs, to inject malicious data into the enclave’s trusted memory to trigger memory corruption vulnerabilities therein. Therefore, enclave interface security becomes a key issue in defending against such attacks. However, a comprehensive static analysis of source SGX programs is currently lacking to obtain sufficient a priori knowledge to provide effective runtime interface protection for the enclave. In view of this, we identify 8 types of unsafe input data of enclave and design a new interface cropping method, SGXCrop. This method extracts critical interface information from source SGX programs, including ECALLs in use and unsafe input data, which are cropped at runtime of SGX programs. Tests in real SGX environment verify that the proposed method can effectively crop illegal ECALLs and unsafe input data.

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Data layout transformation for structure vectorization on SIMD architectures

Data layout transformation for structure vectorization on SI...

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ACIS International Conference on Software engineering, Artificial Intelligence, Networking, and Parallel/Distributed computing (SNPD)

作者： Peng-yuan Li Qing-hua Zhang Rong-cai Zhao Hai-ning Yu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

Structure references are commonly-used at the core of applications in a multitude of domains such as image processing, signal processing, especially the scientific and engineering applications. SIMD instruction sets, as SSE, AVX, AltiVec and 3DNow, provide a promising and widely available avenue for enhancing performance on modern processors. However existing memory accessing shackles limit the achieved performance for structure reference on modern SIMD architectures. In this paper, we propose a novel data layout transformation technology that addresses the accessing obstacles, along with a static analysis technique for detecting the legal loops in where this transformation is suitable. And this approach is implemented in the Optimizing Compiler Open64. The experimental results show that the proposed method can translate application with structure access into vectorizable codes, thereby advancing the execution efficiency adequately.

关键词： Decision support systems Arrays Layout Switches Indexes Transforms Benchmark testing

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FIRMNANO: Toward IoT Firmware Fuzzing Through Augmented Virtual Execution

FIRMNANO: Toward IoT Firmware Fuzzing Through Augmented Virt...

引用

IEEE International Conference on Software engineering and Service Sciences (ICSESS)

作者： Zhijie Gui Hui Shu Ju Yang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728165790

ISBN: (纸本)9781728165806

Considering that the deployment of IoT devices is becoming more and more widespread, the security analysis of the firmware of these devices is extremely important. However, a large number of devices now have vulnerabilities that can be exploited, allowing attackers to remotely control IoT devices. In this article, we show FIRMNANO, a fuzzing framework for the firmware of IoT devices with microcontrollers as the core. Based on augmented virtual execution, FIRMNANO solves three key problems of microcontrollers firmware emulation: (1) MMIO region access (2) interrupt triggering (3) DMA support. On this basis, it conducts code coverage-based fuzzing testing for firmware. Our evaluation results show that FIRMNANO can execute firmware correctly and can be used for real-world firmware vulnerability mining.

关键词： Microcontrollers Emulation Fuzzing Security Microprogramming Testing Software engineering

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Virtual Sample Generation for Retraining the Malicious PDF Detection Model

Virtual Sample Generation for Retraining the Malicious PDF D...

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作者： Kang HE Long LIU Dong-zhe LU Yuefei ZHU State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University

PDF files are adopted for launching cyberattacks because of their popularity and the increasing number of relative *** learning algorithms are developed to detect the maliciousness of PDF *** the exploits of new vulnerabilities occur,the assumption that the training data and the test data share the same distribution does not hold and the ability of origin model to detect exploits of new vulnerabilities weakens *** a real environment,it is very difficult to obtain numerous samples of exploits with the same *** the machine learning models are difficult to be improved by *** sample generation could be used to generate sufficient virtual samples by small sample sets to improve the generalization of the existing model.A new VSG algorithm based on prior knowledge is proposed in this paper,which performs better than other VSG algorithms in improving the detection on exploits of new vulnerabilities.

关键词： Virtual Sample Generation for Retraining the Malicious PDF Detection Model PDF Model

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Research on security assessment based on big data and multi-entity profile

Research on security assessment based on big data and multi-...

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IEEE advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

作者： Wenfu Liu Jianmin Pang Shudan Yang Nan Li Qiming Du Daozhu Sun Fudong Liu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728180281

ISBN: (纸本)9781728180298

Security assessment is one of the important problems, especially in the fields of military training, transportation and network management. The security "related parties" (entities in this paper) have internal relations in the three fields. It is of great significance of constructing the attributes of these entities or even designing a unified security assessment method. Security assessment in these areas has been studied and explored for a long time. However, the research is relatively scattered and unilateral. It is no unified and reusable method from data collection to security assessment. Based on the advantages of big data technology in the storage and analysis of massive data, the paper proposed a security risk element acquisition method from data collection and preprocessing, storage and mining to attribute extraction and aggregation. In addition, drawing on the idea of user portraits in other fields, constructed personnel entities, equipment entities and "other" entity labels related to security risks. Finally, a security risk assessment process based on these entities is designed.

关键词： Training Transportation Big Data Security Personnel Data mining Risk management

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Web Service QoS Prediction with Adaptive Calibration

Web Service QoS Prediction with Adaptive Calibration

引用

International Conference on Computer Sciences and Applications (CSA)

作者： Guo-Sheng Li Na Wang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781479999620

Web services QoS (Quality of Service) prediction in dynamic environment is a critical method to support service selection and service composition. The existing QoS prediction methods focus on the user-side QoS but not the server-side. However, the prediction accuracy of QoS prediction methods for user-side QoS are restricted by the subjectivity of user's feedback, while the server-side QoS prediction methods could get higher prediction accuracy with relying on objective QoS measured value. To this end, we purposed a server-side QoS prediction method for Web service dubbed QoSPAC. Based on Kalman Filter, QoSPAC generates the QoS predicted value and uses the QoS measured value to calibrate it. Furthermore, QoSPAC measures the prediction accuracy, which is also used to calibrate and optimize the prediction period. Experimental results demonstrate that QoSPAC can adapt to the noteworthy measurement error, and can significantly improve the prediction accuracy compared with the conventional technology.

关键词： Quality of service Web services Noise measurement Covariance matrices Time measurement Calibration Q measurement

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mathematical modeling of lunar soft landing —Take chang'e-3 as an example

Mathematical modeling of lunar soft landing —Take chang'e-3...

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IEEE International Conference on Automation, Electronics and Electrical engineering (AUTEEE)

作者： Benchao Yang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665428408

In this paper, the three-dimensional sphere dynamic model of lunar precise soft landing of the probe is discussed. Taking the National College Students' mathematical modeling competition as the background and Chang'e 3 lunar landing as an example, the lunar center inertial coordinate system and orbital coordinate system are established respectively to better describe the positional relationship between the moon and aircraft and the dynamic changes of aircraft. The coordinates of the near lunar point and the far lunar point are obtained. Through the changes of altitude, speed, pitch angle, yaw angle, longitude and latitude during landing, the landing preparation orbit of Chang'e-3 is determined. Then we analyze the six stages of chang'e-3 landing process one by one, and discuss the results.

关键词： Space vehicles Machine learning algorithms Moon Clustering algorithms mathematical models Data models Partitioning algorithms

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Research on Cross-site Scripting Attack Detection Technology Based on Few-shot Learning

Research on Cross-site Scripting Attack Detection Technology...

引用

IEEE Information Technology, Networking, Electronic and Automation Control Conference

作者： Dongzhe Lu Long Liu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

With the intensification of informatization and mobility, various web security threats are emerging. Cross-site scripting (XSS) attack is the most common type of web attack. Most traditional detection methods have been difficult to adapt to the existing confusion variants of XSS attacks. In this paper, we extract features based on big data collected from 2017 to 2022. In order to improve the XSS detection effect of detection tools, we build machine learning models based on more than 210,000 positive and negative samples, among which CNN has the best performance. Furthermore, we propose a new algorithm that improves the traditional virtual sample generation technology based on prior knowledge in order to improve the generalization of the models. Experimental results show that in most cases, the performance of the algorithm in this paper is better than other VSG methods, and the ability to detect and discover unknown attacks is improved to a certain extent.

关键词： Machine learning algorithms Automation Cross-site scripting Perturbation methods Neural networks Machine learning Big Data

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A Partial-Lifting-Based Compiling Concolic Execution Approach

A Partial-Lifting-Based Compiling Concolic Execution Approac...

引用

Cryptography, Security and Privacy (CSP), IEEE International Conference on

作者： Haotian Zhang Weiyu Dong Jian Lin State Key Laboratory of Mathematical Engineering and Advanced Computing ZhengZhou China

ISBN: (数字)9781728186214

ISBN: (纸本)9781728186221

It has been a common phenomenon that embedded devices are used ubiquitously while the security of proprietary software running on devices has become more and more significant. These softwares are often presented to researchers in binary forms. Due to the lack of program semantics and meta information, it is very difficult to analyze manually in large-scale binary programs. Therefore, automatic binary program analysis has become a critical research direction. Symbolic execution is an important method of automatic analysis, due to the problem of path explosion in traditional symbolic execution, it is sometimes complecated to explore the deep-level path of the program, and the most of current execution engines using IR translation execution, resulting in symbolic execution velocity has been exceedingly restrained, comparing to native execution. To this end, we propose a binary program oriented partial-lifting-based compile concolic execution approach, which is combined with static analysis to dissect the binary parts that researchers are intrigued in. The program is simultaneously combined with semantic lifting, dynamic memory monitoring, and symbolic compiler to reconstruct it into a symbolic binary program. Users can perform concolic execution on this program repeatly, so as to explore the part of the original binary program at a rate close to native execution.

关键词： Strips Privacy Program processors Semantics Static analysis Software Engines

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