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UEFI Trusted computing Vulnerability Analysis Based on state Transition Graph

UEFI Trusted Computing Vulnerability Analysis Based on State...

引用

International Conference on Computer and Communications (ICCC)

作者： Yanyang Gu Ping Zhang Zhifeng Chen Fei Cao State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

In the face of increasingly serious firmware attacks, it is of great significance to analyze the vulnerability security of UEFI. This paper first introduces the commonly used trusted authentication mechanisms of UEFI. Then, aiming at the loopholes in the process of UEFI trust verification in the startup phase, combined with the state transition diagram, PageRank algorithm and Bayesian network theory, the analysis model of UEFI trust verification startup vulnerability is constructed. And according to the example to verify the analysis. Through the verification and analysis of the data obtained, the vulnerable attack paths and key vulnerable nodes are found. Finally, according to the analysis results, security enhancement measures for UEFI are proposed.

关键词： Analytical models Trusted computing Computational modeling Bayes methods Security Network theory (graphs) Microprogramming

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Improved Method for Dynamic Heterogeneous Redundant Model Database

Improved Method for Dynamic Heterogeneous Redundant Model Da...

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IEEE Information Technology and Mechatronics engineering Conference (ITOEC)

作者： Yuan Tang Zheng Zhang YuFeng Zhao ZhenWu Liu State key laboratory of mathematics engineering and advanced computing Zhengzhou China

ISBN: (数字)9781728143231

ISBN: (纸本)9781728143248

The correctness and reliability of data is the most basic element of data storage system. It is primary for data security to ensure the correctness and reliability of data. The dynamic heterogeneous redundancy model has received more and more attention in recent years, and it has a good effect in defending known and unknown vulnerabilities. However, In the process of applying the model to database security, the researchers have found the inconsistent reads and writes of heterogeneous databases resulting in the difficulty of accurate data synchronization. To solve this problem, an improved method of heterogeneous database operation language decision merging is proposed, and the correctness, security and effectiveness of this means is tested. The experimental results show that this method can ensure the security of the system and reduce the false alarm.

关键词： Databases Data models Synchronization Memory Web servers Encryption

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Research on 3D Human Body Reconstruction Algorithm of Monocular Image

Research on 3D Human Body Reconstruction Algorithm of Monocu...

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Artificial Intelligence Technology (ACAIT), Asian Conference on

作者： Zijian Liang Huan Liang Wenlong Fu Neuroscience and Intelligent Media Institute Communication University of China Beijing China State Key Laboratory of Media Convergence and Communication Communication University of China Beijing China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China

ISBN: (纸本)9781665426312

The three-dimensional human body feature parameters extracted by the neural network method are coupled in the high-dimensional feature space. The fully connected network processes the three-dimensional human pose and shape feature information synchronously, which cannot handle multifactor features well, which makes the model perform poorly. To solve this problem, on the basis of the benchmark network, a decoupling model is added, which processes the three-dimensional human pose and shape information separately, and finally integrates the features through the bi-linear transformation method. Through experimental verification, the algorithm effectively reduces the reconstruction error, and the improved algorithm performs better.

关键词： Couplings Solid modeling Three-dimensional displays Shape Biological system modeling Neural networks Reconstruction algorithms

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FIRMNANO: Toward IoT Firmware Fuzzing Through Augmented Virtual Execution

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

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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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Thinking and Practice of Online Teaching under COVID-19 Epidemic

Thinking and Practice of Online Teaching under COVID-19 Epid...

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IEEE International Conference on Computer Science and Educational Informatization (CSEI)

作者： Zhang Ping Liu Fudong Shan Zheng State Key Laboratory of Mathematical Engineering and Advanced computing Zhengzhou China

ISBN: (数字)9781728170084

ISBN: (纸本)9781728170091

Response to the outbreak of COVID-19, classes in this semester are mainly replaced by online teaching to ensure continual learning. Teachers are actively exploring effective online teaching methods to provide a good learning experience for students at home. This paper presents an online teaching model based on the idea of Problem-Based Learning (PBL) and take “Data Structure” as an example to discuss the design of teaching process and problems.

关键词： Computer aided instruction Data structures Internet Streaming media Testing COVID-19 Electronic learning

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Implementation of Multi-compartment Neuron Model with Synaptic Plasticity Using FPGA

Implementation of Multi-compartment Neuron Model with Synapt...

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International Conference on Communication Technology (ICCT)

作者： Yiwen Ding Wenlong Fu Lihong Cao Neuroscience and Intelligent Media Institute Communication University of China Beijing China State Key Laboratory of Media Convergence and Communication Communication University of China Beijing China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China

ISBN: (纸本)9781665432078

Computational neuroscience is interdisciplinary and plays an essential role in facilitating the development of cognitive neuroscience and Artificial General Intelligence (AGI). To explore the computational efficiency of Spiking Neural Network (SNN) on a computational hardware platform, we deploy SNN on the Xilinx Zynq7 Zedboard Field Programmable Gate Array (FPGA). Specifically, we use multi-compartmental Hodgkin-Huxley (HH) neuron model to construct neural circuits via C++ code and adopt a biologically plausible calcium concentration-based plasticity model as the learning rule of SNN. Our experimental results show that the FPGA platform can support parallel computation of the multi-compartment HH model with synaptic plasticity. Compared to other methods, FPGA-based computing has a significant speed advantage, suggesting that FPGA can be a good choice for implementing brain-inspired computation.

关键词： Computational modeling Biological system modeling Neurons Neural circuits Logic gates Brain modeling Hardware

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Deep Learning based Recommedation System: A Review of Recent Works

Deep Learning based Recommedation System: A Review of Recent...

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IEEE Information Technology and Mechatronics engineering Conference (ITOEC)

作者： Meiling Wang Xiaonan Liu Lina Jing State key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728143231

ISBN: (纸本)9781728143248

The research upsurge of recommendation system and deep learning makes the deep learning based recommendation system become an inevitable trend. Through the introduction of the latest research of deep learning based recommendation, we present the current popular research directions in the recommendation field and provide a comprehensive review of various advanced technologies. Finally, we propose a new viewpoint on the future development of deep learning based recommendation system.

关键词： Machine learning Motion pictures Collaboration Predictive models Filtering Manuals Feature extraction

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The Analysis of HTTPS Privacy Protection Based on Malicious Code Injection

The Analysis of HTTPS Privacy Protection Based on Malicious ...

引用

International Conference on Communication Technology (ICCT)

作者： Zeyan Liu Jianshan Pen State Key Laboratory of Mathematical Engineering and Advanced Computing Zhenzhou China

ISBN: (数字)9781728181417

ISBN: (纸本)9781728181424

HTTPS protocol is utilized to protect personal privacy in network communication by man-in-the-middle attacks. However, after the browser is attacked, this protection mechanism will be destroyed. This paper analyzes the vulnerability of https protocol under two scenarios of operating system and network data transmission. Based on the untrusted situation, the possibility of implementing HTTPS protocol injection and page injection on the browser side was analyzed. A traffic monitoring and detection scheme based on dynamic rules is proposed, which can effectively detect whether the browser is injected with malicious code. False positive is less than 10%.

关键词： Protocols Servers Browsers Encryption Public key Malware Kernel

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An Efficient Sieve Algorithm with Evolutionary Technique

An Efficient Sieve Algorithm with Evolutionary Technique

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International Conference on Communication Technology (ICCT)

作者： Zedong Sun Chunxiang Gu Yonghui Zheng State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728181417

ISBN: (纸本)9781728181424

Sieve algorithm plays an important role in solving the shortest vector problem, which is one of the most representative hard lattice problems. In this paper, we propose an efficient sieve algorithm with evolutionary techniques. By combining Gauss Sieve algorithm with global selection, we propose an efficient sieve algorithm. Experimental results show that our algorithm performs better than FPLLL's Gauss Sieve algorithm in solving the shortest vector problem. Furthermore, we explore how mutation behaves in accelerating sieve algorithm.

关键词： Conferences Diversity reception Lattices Communications technology Cryptography Acceleration

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The various graphs in graph computing 1

引用

22nd Annual Conference on Computer engineering and Technology, NCCET 2018

作者： Sun, Rujun Zhang, Lufei State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China

ISBN: (数字)9789811359194

ISBN: (纸本)9789811359187

The world is full of relationships, and graph is the most evident representation for them. With the increasing of data scale, graphs become larger and have encountered a new world of analyzing. What can we learn from a graph? How many kinds of graphs are there? How different is graph from one area to that from another? All these questions need answers, but previous research on graph computing mainly focused on computing frameworks and systems, paying little attention to graph itself. In this paper, we studied graphs of different kinds, different scales and different mining methods, trying to give a sketcher and classification of graph categories. Besides, we studied characters and analyzed algorithms in each category. We researched public graph datasets to show current graph scale and its trend for future infrastructure. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Graphic methods

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