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Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence

作者： Chunbing Wu Jinlong Fei State Key Laboratory of Mathematical Engineering and Advanced Computing China

ISBN: (纸本)9781450398343

Internet technology develops by leaps and bounds, new types of botnet attacks are springing up. Currently, most malware are stealthy when implementing attacks since they can bypass detection strategies such as blacklists and sinkholes. These malware mainly use DGA to generate many random domain names to prevent C&C server IP addresses from being traced to the source. To resist botnet attacks, machine-learning methods have been proposed for detecting abnormal domain names. However, there are still some inadequacies, e.g., detection methods based on manual feature extraction couldn't identify novel variant DGA domains, and existing neural network detection methods have weak generalization ability and lack training data for new variant DGA domain names. To address the above problems, this paper proposes an abnormal domain name data generation technology based on a character-level model. Firstly, combining specific text generation-related ideas improves the character-level language model. Secondly, the Bi-GRU network model and attention mechanism are used to thoroughly learn the internal correlation features, and simulate the generation of abnormal domain names. The experimental results show that this method's abnormal domain name data is highly similar to the actual domain name in relative entropy and character composition. Furthermore, it verifies the feasibility of the generated data as training data set for a new variant DGA domain name, which to a certain extent, helps to improve the generalization ability of the abnormal domain name detection model.

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First-principles investigation of microscopic mechanisms underlying hole mobilities in diamond, silicon, and germanium

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Physical Review B 2024年第15期110卷 155203页

作者： Qiao-Lin Yang Fan-Chen Meng Wu Li Zhi Wang Hui-Xiong Deng Su-Huai Wei Fan-long Ning Jun-Wei Luo School of Physics and Zhejiang Key Laboratory of Micro-Nano Quantum Chips and Quantum Control State Key Laboratory of Superlattices and Microstructures Research Computing and Data Eastern Institute for Advanced Study Center of Materials Science and Optoelectronics Engineering State Key Laboratory of Silicon and Advanced Semiconductor Materials

Silicon (Si) dominates the semiconductor industry but currently suffers from significant hole mobility degradation in advanced transistors due to its abnormally low hole mobility (505cm2/Vs), compared to its group IV neighbors, diamond and germanium (Ge) (both ∼2000cm2/Vs). While Ge's high mobility is understandable by its lighter effective hole mass due to its narrower direct bandgap at Γ point, diamond's superior hole mobility remains difficult to understand since its bandgap is ultrawide. Conventional wisdom attributes diamond's high mobility to reduced phonon scattering due to high acoustic phonon group velocity and optical phonon frequency, overcoming its heaviest effective mass. However, our study reveals that this mechanism alone is insufficient to explain the observed mobility. We demonstrate that the diamond's abnormally light effective hole mass is a primary factor contributing to its high mobility; otherwise, its hole mobility would be approximately nine times lower than Si's. The unexpectedly light mass in diamond stems from larger transition matrix elements, resulting from substantial electronic wave-function overlap between valence and conduction bands, remarkably overcoming the effect of diamond's large bandgap. Furthermore, our investigation uncovers a unique feature in diamond's valence band structure: an inherent strain-enhanced mobility characteristic, where the top valence band manifests as a light-hole (lh) state along certain crystallographic directions (e.g., [100]), instead of the typical heavy-hole (hh) state. Contrary to prevailing assumptions, we observe a strong coupling between holes and transverse acoustic (TA) phonons, and even TA scattering dominates over longitudinal acoustic (LA) scattering in both diamond and Si, challenging the long-held belief that TA scattering is negligible. Our calculations yield a dilation deformation potential of 3.45 eV for diamond, significantly diverging from previously reported values, e.g., 7 or −35 eV.

关键词： Electrical conductivity Electron-phonon coupling Semiconductors Density functional calculations Wannier function methods

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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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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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Performance Verification of Smith Predictor Control Using IMC Scheme via Chemical Reaction Networks and DNA Strand Displacement Reaction 9

Performance Verification of Smith Predictor Control Using IM...

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9th IEEE Smart World Congress, SWC 2023

作者： Yao, Jingwang Lv, Hui Xiao, Yijun Dalian University Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education School of Software Engineering Dalian116622 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110004 China

ISBN: (纸本)9798350319804

Biochemical process control is often achieved through feedback control strategies for theoretical analysis and optimization of biochemical reaction processes. Here, the design improves the robustness of the biochemical process by taking advantage of the Smith prediction structure and internal mode control within the chemical reaction network theory framework to intervene against the time delays and perturbations present in the biochemical process. First, an IMC representation of Smith prediction is constructed using the presence of parameter rectification of the control method, and then an IMC-MSP control scheme is proposed. A first-order time-lag controlled object is established in the construction of the IMC-MSP control scheme. Besides, CRNs and kinetic representations are established based on the control structure to facilitate the evaluation of the control system performance. In this paper, CRNs representations of parabolic functions as signal inputs are defined for the first time and optimized for stepping signals to facilitate the design and study of biomolecular circuits. Notably, for the CRNs-based IMC-MSP control scheme, on the one hand, numerical simulation experiments are designed to verify the effectiveness of the whole scheme from multiple perspectives of time delays, external perturbations, and filter tuning parameters;on the other hand, using DNA strand displacement is reflected to verify the feasibility of the whole scheme. © 2023 IEEE.

关键词： Chemical reaction networks (CRNs) DNA strand displacement (DSD) Internal model control (IMC control) Smith predictor

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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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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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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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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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