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A Research and Verification of MFC Framework-aware Virus Infection Technology 3

A Research and Verification of MFC Framework-aware Virus Inf...

引用

3rd International Conference on Computer Vision, Image and Deep Learning and International Conference on Computer engineering and Applications, CVIDL and ICCEA 2022

作者： Guo, Wang Li, Yang Sha, Zihan Bu, Wenjuan State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665459112

Portable Executable (PE) virus technology is an important threat factor in the field of network security. With continuous upgrading of malware detection technology, virus infection technology will also gradually evolve from infecting the structure of the PE file to infecting the deeper structure of the program, and thus achieve higher level of stealthiness and confrontation. This paper proposes a structure-aware virus infection technology for Microsoft Foundation Classes (MFC) software framework, aiming to explore a new method of virus infection. This research aims to verify the virus infection method of MFC program framework perception through experiments, and then provides a solution to the new PE virus, which can help improve the current level of heuristic malware detection technology. © 2022 IEEE.

关键词： Viruses

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Software supply chain analysis based on function similarity 4

Software supply chain analysis based on function similarity

引用

2020 4th International Conference on Electrical, Mechanical and Computer engineering, ICEMCE 2020

作者： Sun, Wenjie Shan, Zheng Liu, Fudong Li, Xingwei Qiao, Meng Zhang, Chunyan State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

The supply of open source and open source components is growing at an alarming rate, while vulnerabilities in open source components are everywhere. Software supply chain analysis aims to discover third-party components and open source code used in a software, and analyze the software's dependence on components. In this paper, we propose a software component analysis method and a known vulnerabilities detecting method. By scanning the open source components of the binary file and conducting vulnerability analysis, the known vulnerabilities are detected. This paper mainly solves the problem of detecting known vulnerabilities in the supply chain of binary files. We conducted a case analysis and achieved good results. © 2020 Institute of Physics Publishing. All rights reserved.

关键词： Supply chains

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ALEmu: A Framework for Application-layer Programs Emulation of Embedded Devices 4

ALEmu: A Framework for Application-layer Programs Emulation ...

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4th International Conference on Computer engineering and Application, ICCEA 2023

作者： He, Heng Xiong, Xiaobing Zhao, Yuntian State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9798350347548

The difference between real devices and virtual environments causes a low success rate of application-layer program emulation when the firmware is operating in full-system emulation during the dynamic analysis of the firmware of embedded devices. In this paper, we propose ALEmu, an emulation framework for application-layer programs, which can effectively improve the emulation success rate of application-layer programs in embedded device firmware through automatic preprocessing of target programs, building configuration libraries, and hooking external program calls. When we test ALEmu on a variety of real-world devices, including routers and IP cameras, we find that it performs more successfully and accurately than the current state-of-the-art full-system emulation frameworks like Firmadyne and FirmAE. © 2023 IEEE.

关键词： Firmware

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LOM: A Website Fingerprinting Defense Method based on Local Optimal Mutation 10

LOM: A Website Fingerprinting Defense Method based on Local ...

引用

10th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2022

作者： Wang, Jue Zhu, Yuefei Lin, Wei Li, Ding Tang, Ke State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781665422079

ISBN: (纸本)9781665422079

Website Fingerprinting (WF) is a traffic analysis attack. The potential local adversary can infer the user's web activity by extracting implicit pattern information from traffic traces. Leveraging the latest advances in Deep Learning, the adversary has achieved 98% detection accuracy in closed-world tests. This poses a new challenge to the traditional WF defense methods. In this paper, we propose a new defense method, the proposed dissimilarity measure and local optimal mutation strategy greatly reduce the computational cost. Experimental results show that the method achieves the generation of adversarial traffic trace with shorter preparation times and better defensive effects. Moreover, it also has great potential in the face of more powerful attacks that may emerge in the future. © 2022 IEEE.

关键词： Websites

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Thinking and practice of online teaching under COVID-19 Epidemic 2

Thinking and practice of online teaching under COVID-19 Epid...

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2nd International Conference on Computer Science and Educational Informatization, CSEI 2020

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

ISBN: (纸本)9781728170077

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. © 2020 IEEE.

关键词： COVID-19

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Software library functions implementation of a customized High-Level Synthesis environment

Software library functions implementation of a customized Hi...

引用

2013 2nd International Conference on Frontiers of Energy and Environment engineering, ICFEEE 2013

作者： Dang, Lin-Yu Pang, Jian-Min Yu, Jin-Tao Yang, Jin State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781138000513

Compared with traditional Hardware Design Languages (HDL) programming, High-Level Synthesis (HLS) can reduce the design difficulty of reconfigurable system. Most HLS tools target for systems on programmable chips, and do not support loosely coupled reconfigurable computers. This paper presents a method for using HLS results in some loosely coupled systems with Ethernet as means of communication. Software processes run on general purpose processors instead of embedded CPUs, and there are only hardware processes on the FPGAs. Software and hardware processes communicate over Ethernet with a self-designed reliable protocol. This paper mainly discusses the software part of this method. Finally, we present some primary experiment results on the PRCA (Proactive Reconfigurable computing Architecture) prototype platform created by our research group. The results indicate that the method is feasible. © 2014 Taylor & Francis Group, London.

关键词： General purpose computers

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An Intrusion Detection Feature Selection Method Based on Improved Mutual Information 6

An Intrusion Detection Feature Selection Method Based on Imp...

引用

6th IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2023

作者： Qi, Zan Fei, Jinlong Wang, Jue Li, Xue State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665460033

Feature selection methods for classification are crucial for intrusion detection techniques using machine learning. High-dimensional features in intrusion detection data affect computational complexity, consume more used resources and more time for data analysis, and the irrelevant and redundant features among them often hinder the performance of classifiers and mislead the classification task. Therefore, it is challenging to select more relevant features from intrusion detection data containing many such features. In this paper, we propose an efficient feature selection algorithm that first considers the correlation between features and the redundancy of pairs of features with respect to class labels based on an improved Pearson correlation coefficient, and later improves the evaluation function based on conditional mutual information to obtain a final subset of features with the goal of improving the classification rate and accuracy. The proposed feature selection method based on improved conditional mutual information is compared with three existing feature selection methods on the frequently studied public benchmark intrusion detection dataset NSL-KDD. The experimental results show that the features selected by the proposed method in this paper lead to a significant reduction in execution time while resulting in higher classification accuracy. © 2023 IEEE.

关键词： Feature Selection

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Dynamic Instrumentation Framework Based on Entity Equipment 6

Dynamic Instrumentation Framework Based on Entity Equipment

引用

6th IEEE International Conference on Computer and Communication Systems, ICCCS 2021

作者： Jiangtao, Zhao Dong, Weiyu Zhang, Haotian Lin, Jian State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9780738126043

Dynamic binary analysis is an important way of program analysis. Most of the existing dynamic analysis tools are based on dynamic binary instrumentation platforms. The existing gdb tool, which is often used for debugging of embedded devices, has low performance on dynamic instrumentation. This paper implements basic block-level instrumentation based on dynamic binary rewriting technology and provides a simple and flexible application programming interface. Through the evaluation, the local instrumentation efficiency of this system is mostly better than the Pin platform, and the remote instrumentation efficiency is about 28.7 times that of the gdb+gdbserver platform. The instrumentation performance has been greatly improved. © 2021 IEEE.

关键词： Efficiency

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UEFI Security Threats Introduced by S3 and Mitigation Measure 7

UEFI Security Threats Introduced by S3 and Mitigation Measur...

引用

7th International Conference on Signal and Image Processing, ICSIP 2022

作者： Jiao, Weihua Li, Qingbao Chen, Zhifeng Cao, Fei State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781665495639

ISBN: (纸本)9781665495639

UEFI is widely used as the new generation BIOS, except for some new features, it also brings some security issues. The threat brought by S3 sleep jeopardizes the security of computer platforms seriously. An attacker can disable the write protection of UEFI by tampering with the S3 boot script or execute arbitrary code by exploiting dispatch opcodes with the entry point out of SMRAM. Therefore, it is vital to solve the security issue related to S3 and propose effective mitigation measures. Based on the S3 related modules and the risk propagation between modules, we propose the MBPE algorithm to identify the key vulnerability of the platform through formal analysis. Aiming at this critical vulnerability, based on the LockBox protection mechanism, we propose a mitigation measure. It includes changing the storage time of the boot script, the changed storage address of the boot script and a specific UEFI variable. After taking this mitigation measure, the attacker cannot obtain the boot script and its location simultaneously. Such, it can protect the boot script from being tampered with and further attackers. Finally, based on the real attack cases, we evaluate the mitigation measure by the abstraction of attack path and mathematical methods. Based on the evaluation finding, the mitigation measures can prevent S3related attacks and effectively improve platform security. © 2022 IEEE.

关键词： Risk assessment

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Leveraging markov chain and optimal mutation strategy for smart fuzzing

Leveraging markov chain and optimal mutation strategy for sm...

引用

2014 International Conference on Information and Network Security, ICINS 2014

作者： Ouyang, Yongji Wu, Zehui Mu, Qing Wang, Qingxian State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781849199094

Fuzz testing is an important way of vulnerability discovery, however, the existing fuzzers based on symbolic execution and others have inherent shortcomings like needing more computing resource, in-depth analysis and so on. To solve above problems, this paper presents a smart fuzzing method based on Markov chain. Firstly, this method optimizes the testing input sample to get the minimal sample set. Secondly, this method records program execution information by using instrument, and makes a Markov model about state. Finally, this method uses Markov chain to detect the change of execution path, and leads tester to choose better samples to mutate. Meanwhile, we analyse mutation strategies in depth for better triggering exception. Experimental data shows that the presented method can help fuzzer to generate effective test samples. We discovers 51 vulnerabilities in software like WPS, along with the code coverage increases of nearly 49% comparing with zzuf and the average exception discovery rate increase nearly 9 times comparing with MiniFuzz.

关键词： Markov processes

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