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Vulnerability Model and Evaluation of the UEFI Platform Firmware Based on Improved Attack Graphs 9

Vulnerability Model and Evaluation of the UEFI Platform Firm...

引用

9th IEEE International Conference on Software engineering and Service Science, ICSESS 2018

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

ISBN: (纸本)9781538665640

Targeted at the situation of rampant attack on UEFI Platform Firmware, this paper summarizes the UEFI platform firmware framework structure as well as its potential security problems. Then the vulnerability factors of UEFI platform firmware are described using the modeling language. This paper proposes an improved Attack Graphs model based on Finite state Machine (AGFSM), which can be used to evaluate the reliability of UEFI, as well as calculate the expected exploitation cost and expected attack loss. Finally, based on the AGFSM model, we realize the evaluation of a set of attack strategies for the UEFI platform firmware and verify the rationality of the model and the validity of the evaluation. The research is conducive to the rapid detection of the vulnerability of UEFI Platform Firmware, predict the attack paths and deploy the security strategy targeted to safeguard the firmware. © 2018 IEEE.

关键词： Firmware

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Research on Memory Attacks and Defenses for Programmable Logic Controllers 4

Research on Memory Attacks and Defenses for Programmable Log...

引用

4th International Conference on Communications, Information System and Computer engineering, CISCE 2022

作者： Geng, Yangyang Liu, Ke Ma, Rongkuan Wei, Qiang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781665498487

ISBN: (纸本)9781665498487

Programmable logic controllers (PLCs) are the core of industrial control systems (ICS), which play an essential role in critical infrastructure. In recent years, significant real-world attacks against PLCs have emerged, causing devastating consequences to critical infrastructure. In this paper, we first introduce the architecture and memory system of PLC. We then systematically analyze the existing PLC memory attack methods and classify them into five types according to different attack vectors. Subsequently, we present three types of mainstream PLC memory attack detection methods and compare the detection ability against our proposed memory attacks. Finally, we discuss the challenges of existing PLC memory attack detection. © 2022 IEEE.

关键词： Programmable logic controllers

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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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Yara rule enhancement using Bert-based strings language model 5

Yara rule enhancement using Bert-based strings language mode...

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5th International Conference on advanced Electronic Materials, Computers and Software engineering, AEMCSE 2022

作者： Xu, Lianqiu Qiao, Meng State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781665484749

ISBN: (纸本)9781665484749

In recent years, with the development and popularity of information technology, how to protect information systems from malicious code is now a hot issue. Malicious code will cause irreversible damage through a series of malicious behaviors for information theft or system damage, so it needs to be detected before it has a bad impact. Yara is a common tool used by network security practitioners or analysts to effectively detect malicious code. However, Yara rules are generally written manually, and their quality is related to the level of analysts, which makes it difficult to guarantee the effectiveness of Yara detection. Some of the current work can automatically generate Yara rules, but most of the methods are blacklist matching in nature, which may cause a degradation of the detection effect when the database is small. To solve the above problems, this paper proposes the Bert-based strings language model (beslm), which can effectively learn the semantic information of Yara rules and the association relationship between strings through pre-training phase and finetuning phase, and can filter out high-quality strings and thus improve the detection effect. The experimental results demonstrate that the Yara rules automatically generated by beslm improve 13.3%, 13.8%, and 15.1% on average in three detection metrics compared with the comparison method. © 2022 IEEE.

关键词： Network security

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

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

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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 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...

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

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

引用

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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