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Automatically Generating High-performance Matrix Multiplication Kernels on the Latest Sunway Processor 22

Automatically Generating High-performance Matrix Multiplicat...

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Proceedings of the 51st International Conference on Parallel Processing

作者： Xiaohan Tao Yu Zhu Boyang Wang Jinlong Xu Jianmin Pang Jie Zhao State Key Laboratory of Mathematical Engineering and Advanced Computing China

ISBN: (纸本)9781450397339

We present an approach to the automatic generation of efficient matrix multiplication code on the latest Sunway processor, which will be employed by the next-generation machine of Sunway TaihuLight, one of the fastest supercomputers on earth. The method allows users to write simple C code and automatically generates high-performance matrix multiplication kernels. It uses polyhedral transformations to implement rapid compute decomposition, data exchanges across memory hierarchy and memory latency hiding. An assembly routine is finally integrated into the generated kernels. While achieving up to 90.14% of the theoretical peak performance, our method surpasses a highly tuned library by 9.44%. Compared with existing techniques, our approach reduces the software development life cycle to generate efficient matrix code from months to seconds. We also take into account batched matrix multiplication and some fusion patterns for deep learning (DL), outperforming the library-based implementations by 1.30 × and 1.67 ×.

关键词： high-performance computing basic linear algebra subprograms polyhedral compilation Sunway TaihuLight matrix multiplication

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Accelerating Command Injection Vulnerability Discovery in Embedded Firmware with Static Backtracking Analysis 22

Accelerating Command Injection Vulnerability Discovery in Em...

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Proceedings of the 12th International Conference on the Internet of Things

作者： Xiaokang Yin Ruijie Cai Yizheng Zhang Lukai Li Qichao Yang Shengli Liu State Key Laboratory of Mathematical Engineering and Advanced Computing China

ISBN: (纸本)9781450396653

Command injection vulnerability is a severe threat to the embedded device. Most methods detect command injection vulnerability with taint analysis and symbolic execution and achieve promising results. However, they waste too much time analyzing secure sink call-sites, resulting in less efficient vulnerability detection. To tackle the above problem, we propose a novel sink call-site classification method named CINDY to accelerate the command injection vulnerability discovery in embedded firmware with static backtracking analysis. CINDY first performs sink call-sites detection in the binary executables and constructs the data flow for function call parameters. Then, CINDY analyzes whether the parameters passed to sink functions are derived from constant string or not and labels them “secure" or “risky". According to the labels, CINDY classifies the sink call-sites into risky and secure sink call-sites. Finally, CINDY performs taint analysis with symbolic execution to check whether a risky sink call-site is vulnerable. To demonstrate the efficacy of CINDY, we compare CINDY with the state-of-the-art method SaTC, using the dataset published by SaTC. Compared with SaTC, CINDY can filter out more of the secure sink call-sites, with a 35% decrease, and the efficiency is improved by 17% than SaTC.

关键词： Backtracking Analysis Taint Analysis Command Injection Vulnerability Firmware

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Searching for similar binary code based on the influence of basic block vertex 3

Searching for similar binary code based on the influence of ...

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2021年第三届先进计算机技术、信息科学与通信国际会议(CTISC2021)

作者： Xiaodong Zhu Liehui Jiang Zeng Chen Lin Yan State key laboratory of mathematical engineering and advanced computing

ISBN: (纸本)9781665418683

Binary code similarity detection(BCSD) has many security applications and has attracted a lot of focus. But existing solutions for BCSD problems mainly focus on comparing the similarity between two binary functions and what need to be compared is not always a pair of equal-size binary *** solve the problem of searching similar binary code for a small size program in a large size program, in this manuscript,we propose a searching method based on the influence of basic block vertex. Firstly, we formalize the similar code searching problem as a subgraph matching problem and extract the attributed control flow graphs(ACFGs) of the binary ***, we propose a novel metrics to measure the influence of each basic block vertex in query ACFGs and choose the vertex with the largest influence value as the central node. Next, we take the matching nodes of the central node in target ACFG as seed nodes and extending each candidate sub-area from the seed nodes. At last, these candidate sub-areas are further filtered and similar subgraphs are verified in these *** results indicate that the proposed method can find similar binary code efficiently.

关键词： Measurement Matched filters Information science Binary codes Search problems Security Flow graphs

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Programmable logic controller memory management vulnerability analysis 3

Programmable logic controller memory management vulnerabilit...

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2022 3rd International Conference on Signal Processing and Computer Science, SPCS 2022

作者： Geng, Yangyang Ma, Rongkuan Wei, Qiang Wang, Wenhai State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou310000 China

Programmable logic controller (PLC) is omnipresent in industrial control system (ICS), which plays an imperative part in critical infrastructures. However, once a PLC is compromised by an attacker, it will create destructive effects on critical infrastructures. The memory systems in PLCs are considered significant targets for attackers to disrupt real-world physical processes. In this paper, we proposed five types of attacks on the PLC memory management mechanism. Furthermore, we evaluated the feasibility of our memory attack generation approach on six PLCs from three leading controller vendors. A total of 22 memory attack payloads are implemented with several vulnerabilities on the target PLCs. © Published under licence by IOP Publishing Ltd.

关键词： Programmable logic controllers

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A Honeywords Generation Method Based on Deep Learning and Rule-Based Password Attack 4th

A Honeywords Generation Method Based on Deep Learning and Ru...

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4th EAI International Conference on Security and Privacy in New computing Environments, SPNCE 2021

作者： Yang, Kunyu Hu, Xuexian Zhang, Qihui Wei, Jianghong Liu, Wenfen State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Guilin University of Electronic Technology Guilin China

ISBN: (纸本)9783030967901

Honeywords is a simple and efficient method that can help the authentication server to detect password leaks. The indistinguishability between generated honeywords and real passwords is the key to the honeywords generation methods. However, the current honeywords generation methods are difficult to achieve that and are vulnerable to the Top-PW attack. In order to improve the security of the honeywords generation method, this paper combines the deep learning and rule-based password attacks to propose a new honeywords generation method called GHDR. The method first builds a deep learning model to learn whether the rules used in the rule-based password attack are effective for different passwords. When a user sets a password, effective rules will be selected by the model according to the entered password, and then these selected rules will be used to transform the user’s password to generate honeywords. Experimental results show that the proposed honeywords generation method can better resist Top-PW attacks than the state-of-the-art methods. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering.

关键词： Authentication

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A Modeling Method of Cyberspace Security Structure Based on Layer-Level Division 5

A Modeling Method of Cyberspace Security Structure Based on ...

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5th IEEE International Conference on Computer and Communication engineering Technology, CCET 2022

作者： Zhu, Yuwen Yu, Lei State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Information Security Institute of Information Engineering Beijing100000 China

ISBN: (数字)9781665467353

ISBN: (纸本)9781665467353

As the cyberspace structure becomes more and more complex, the problems of dynamic network space topology, complex composition structure, large spanning space scale, and a high degree of self-organization are becoming more and more important. In this paper, we model the cyberspace elements and their dependencies by combining the knowledge of graph theory. Layer adopts a network space modeling method combining virtual and real, and level adopts a spatial iteration method. Combining the layer-level models into one, this paper proposes a fast modeling method for cyberspace security structure model with network connection relationship, hierarchical relationship, and vulnerability information as input. This method can not only clearly express the individual vulnerability constraints in the network space, but also clearly express the hierarchical relationship of the complex dependencies of network individuals. For independent network elements or independent network element groups, it has flexibility and can greatly reduce the computational complexity in later applications. © 2022 IEEE.

关键词： Graph theory

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Zokfuzz: Detection of Web Vulnerabilities via Fuzzing 2

Zokfuzz: Detection of Web Vulnerabilities via Fuzzing

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2nd International Conference on Consumer Electronics and Computer engineering, ICCECE 2022

作者： Zhang, Hao Dong, Weiyu Jiang, Liehui School of Cyber Science and Engineering Zhengzhou University Zhengzhou China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665408868

Fuzzing is one of the mainstream web application automated vulnerability detection methods. Because of its black box characteristics, it can be used to detect vulnerabilities without knowing the source code of the target application, so it is widely used. However, traditional web application fuzzing methods have the disadvantages of limited test cases, slow execution process, and low efficiency. In order to solve these problems, some scholars introduced genetic algorithms in the fuzzing process. However, after the test cases are entered, it is difficult to automatically detect the state of the web application, which will lead to deviations in the evolution direction of the population and the high aggressiveness of the test cases. This paper proposes a web application fuzzing script, which can realize automatic monitoring of web application status changes, and at the same time more accurately judge whether the test case is offensive. On this basis, an improved mutation method is proposed to enable the population to quickly evolve more aggressive test cases. Experimental results show that ZokFuzz can detect more web vulnerabilities compared to X-Ray and Burp Suite. © 2022 IEEE.

关键词： Genetic algorithms

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Exploitability Analysis of Public Component Library Vulnerabilities Based on Taint Analysis 7

Exploitability Analysis of Public Component Library Vulnerab...

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7th International Conference on Intelligent computing and Signal Processing, ICSP 2022

作者： Yuan, Huijie Wang, Yunchao Zong, Guoxiao Lv, Zhuo State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China State Grid Electric Power Research Institute Zhengzhou China

ISBN: (纸本)9781665478571

The reuse of public component libraries has contributed to the field of computer science because of its low implementation time and high production efficiency. However, the vulnerabilities in libraries can be more serious than those in real-world software because they can affect various software which uses these libraries. Therefore, the technologies of vulnerability mining of public component libraries have received extensive attention, such as fuzzing. But the number of crashes generated by fuzzing is huge, and only an exceedingly small number of public component library vulnerabilities are exploitable in real-world software. To solve this problem, we use taint analysis techniques to analyze the exploitability of library vulnerabilities in real-world software. We first use Pin binary instrumentation technology to instrument the consumer program, analyze the process of calling the library in the consumer program through the taint analysis, and convert the extracted execution path and parameter information into an adjacency matrix. Then we analyze the execution path and crash scene of the crash file, convert the exploitability analysis into path reachability analysis, and determine whether the crash can reach the vulnerable pointer of the software through reachability. Finally, we divide the library vulnerabilities into three levels: directly exploitable, indirectly exploitable, and unexploitable. We design and implement a prototype tool, LibExp-T, to analyze nine public component libraries and four real-world software containing multiple attack surfaces such as images, audio, video, fonts, etc. And we compare them with automatic exploit generation tools CRAX and REX. The results show that LibExp-T can effectively verify the exploitability of component library vulnerabilities in real-world software with low overhead. © 2022 IEEE.

关键词： Libraries

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Can We Half the Work with Double Results: Rethinking Machine Learning Algorithms for Network Intrusion Detection System 9

Can We Half the Work with Double Results: Rethinking Machine...

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9th International Conference on advanced Cloud and Big Data, CBD 2021

作者： Li, Shuren Lu, Yifei Li, Jingqi Nanjing University of Science and Technology School of Computer Science and Engineering Nanjing210096 China State Key Lab of Mathematical Engineering and Advanced Computing Wuxi214215 China

ISBN: (纸本)9781665407458

Machine Learning algorithms have been wildly applied in the intrusion detection system(IDS). However, in the IoT environment where the resources are limited and the flow data is of huge amount, we need more efficient and effective ML algorithms to train the detection models. Aiming to have comprehensive performance indicators of the ML algorithms, we compared 15 machine learning for both binary classification and Multi-classification under the criterion of IoT traffic circumstance by indicators in temporal dimension and spatial dimension. We finally suggested using non-linear algorithms, especially tree algorithms training or retraining models to identify malicious network traffic in the IoT IDS. © 2022 IEEE.

关键词： Machine learning

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Stepwise DOA Estimation for Coherent and Uncorrelated Mixed Signals on Coprime Array 5

Stepwise DOA Estimation for Coherent and Uncorrelated Mixed ...

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5th IEEE advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2022

作者： Jiang, Heng Li, Lichun Zhang, Hailong Pan, Hongyi Li, Xue College of Information System Engineering Information Engineering University Zhengzhou China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665479677

The coprime array constructs virtual array to obtain higher degrees of freedom (DOF), but the premise of doing so is that the signals are independent of each other. Once there are coherent signals, the signal model of virtual array is destroyed and the method fails. To solve these problems, we propose the stepwise estimation of the Direction of Arrival (DOA) for a mixture of coherent and uncorrelated signals. Firstly, the symmetry of the two coprime subarrays is used to eliminate the uncorrelated signals, and combined with the properties of prime numbers, the coherent source DOA is jointly estimated. The obtained coherent source DOA was combined with the optimization algorithm to remove the coherent signal in the mixed signal. Finally, the virtual domain signal processing method was used to estimate the independent source DOA. This method can effectively reduce the influence of coherent signals on the accuracy of DOA estimation without loss of degrees of freedom. In this paper, the feasibility of the proposed method is proved by theoretical derivation, and the effectiveness of the method is also verified by experimental simulations. © 2022 IEEE.

关键词： Direction of arrival

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