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The Analysis of HTTPS Privacy Protection Based on Malicious Code Injection 20

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

引用

20th IEEE International Conference on Communication Technology, ICCT 2020

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

ISBN: (纸本)9781728181417

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%. © 2020 IEEE.

关键词： Network coding

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Multi-protocol comprehensive topology probe technology under non-cooperative conditions

Multi-protocol comprehensive topology probe technology under...

引用

2022 International Symposium on Computer Applications and Information Systems, ISCAIS 2022

作者： Lu, Xuanting Yang, Qichao Liu, Shengli Yang, Pengfei State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781510655010

With the rapid development of the Internet and the increasingly complex and diverse network environment, it is of great significance to quickly and accurately obtain the topology environment of the target network for optimizing network management, locating network resources and ensuring network security. Most of the existing network topology detection methods are implemented based on the SNMP protocol, or use the Traceroute-like method for active detection. However, in a non-cooperative environment, that is, the router disables SNMP permissions or prohibits responding to probe packets to shield Traceroute probes, network probes will face problems such as missing information and blocked probes. Based on the original SNMP protocol detection, this paper adopts RIP, OSPF and other routing protocols to supplement the detection method, which greatly reduces the number of undetectable nodes. In addition, for a small number of router devices that are still undetectable, the Traceroute directional breakthrough method using the routing table as a clue is used to bypass these undetectable nodes, complete the missing information in the network topology, and further optimize and improve the detection results. © 2022 SPIE

关键词： Network topology

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Computer evidence analysis technology based on weighted frequent pattern growth algorithm 5th

Computer evidence analysis technology based on weighted freq...

引用

5th International Conference on Artificial Intelligence and Security, ICAIS 2019

作者： Xue, Tianxiao Li, Qingbao Zhang, Ping Chen, Zhifeng Feng, Peijun Luo, Nan State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9783030242701

The current analysis of computer forensics is still dependent on the investigation personnel, leading to the problem of heavy workload and low efficiency. At the same time, computer evidences have the characteristics of complex structure and large amount of data, which is prone to the problem of association rules redundancy. In order to improve the efficiency of computer evidence analysis, this paper uses association analysis technology to analyze the user's behavior habits from the obtained computer system log, browser records, file operation traces and other information;combined with the idea of weighted features, the weight set was generated according to the difference of attribute importance, and the Frequent Pattern Growth (FP-Growth) algorithm is improved. The experimental results show that the improved FP-Growth algorithm can effectively remove the redundant rules in evidence analysis, and is more practical for user behavior analysis. © Springer Nature Switzerland AG 2019.

关键词： Efficiency

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Research on Performance Optimization for Sparse Matrix-Vector Multiplication in Multi/Many-core Architecture 2

Research on Performance Optimization for Sparse Matrix-Vecto...

引用

2nd International Conference on Information Technology and Computer Application, ITCA 2020

作者： Wang, Qihan Li, Mingliang Pang, Jianming Zhu, Di State Key Laboratory of Mathematical Engineering and Advanced Computing zhengzhou China

ISBN: (纸本)9780738111414

Sparse matrix vector multiplication is an important and commonly used computing kernel in scientific computing. Irregular arrangement of non zeros in sparse matrix leads to irregular memory access pattern, which in turn affects the running speed. In the past ten years, there have been many optimization methods of sparse matrix vector multiplication based on different ideas and techniques. In this paper, the commonly used performance optimization techniques of sparse matrix vector multiplication in multi/many-core architecture are comprehensively investigated. We classify technical methods according to their common characteristics, and discuss the problems encountered by researchers of various methods. In addition, We provide a typical large sparse matrix set for testing. This paper also provides a theoretical basis for our subsequent sparse matrix calculation in Sunway TaihuLight archiecture. © 2020 IEEE.

关键词： Memory architecture

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Ensuring kernel integrity using KIPBMFH 1

引用

作者： Chen, Zhifeng Li, Qingbao Guo, Songhui Wang, Ye State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9783319298146

ISBN: (纸本)9783319298139

Kernel-level malwares are a serious threat to the integrity and security of the operating system. Current kernel integrity measurement methods have one-sidedness in selecting the measurement objects, and the characters of periodic measurement make TOC-TOU attacks unavoidable. The kernel integrity measurement methods based on hardware usually suffer high cost due to the additional hardware, while the kernel integrity measurement methods based on host are always likely to be passed. To address these problems, a kernel integrity protection approach based on memory forensics technique implemented in Hypervisor (KIPBMFH) is proposed in this paper. We first use memory forensics technology to extract the static and dynamic measurement objects, and then adopt time randomization algorithm to weaken TOC-TOU attacks. The experimental results show that KIPBMFH can measure the integrity of the operating system effectively, and has reasonable performance overhead. © Springer International Publishing Switzerland 2016.

关键词： Malware

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An Abnormal Domain Name Generation Method Based on a Character-Level Model 4

An Abnormal Domain Name Generation Method Based on a Charact...

引用

4th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2022

作者： Wu, Chunbing Fei, Jinlong State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 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. © 2022 ACM.

关键词： Botnet

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Code Obfuscation Based on Inline Split of Control Flow Graph

Code Obfuscation Based on Inline Split of Control Flow Graph

引用

2021 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2021

作者： Li, Yang Sha, Zihan Xiong, Xiaobing Zhao, Yuntian State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665418676

Control flow graph is an important concept in the field of program analysis, which represents the source program in the form of graph. On the control flow graph, we can easily analyze the predecessor and successor relationship among basic blocks. This paper we inline the functions in the original program and outline the inlined program randomly to form outline functions. Therefore, we convert the intra-procedure basic block jump to an inter-procedure function call, which hides the basic block jump relationship in the process and obfuscates the function boundaries. In order to further increase the intensity of obfuscation, a bogus function similar to the outline function is added, and the bogus control flow is added in combination with opaque predicates simultaneously. Based on the above work, this paper proposes an obfuscation algorithm which converges and splits the program control flow graph. We utilize the commonly used cryptographic hash algorithm as the test set, and verify the feasibility and effectiveness of the obfuscation algorithm. © 2021 IEEE.

关键词： Graphic methods

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Malware analysis platform based on software gene for cyberspace security practice teaching 2

Malware analysis platform based on software gene for cybersp...

引用

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

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

ISBN: (数字)9781728170084

ISBN: (纸本)9781728170077

In recent years, a large number of malware has spread indiscriminately, which causes various significant cyberspace security incidents all over the world. Therefore, malware detection has become one of the important research topics in cyberspace security. At present, however, the practical teaching for malware detection mainly focuses on delivering the theory and skills, and actual combat training is relatively weak. As a novel method for malware recognition and analysis, software gene technology can quickly explore potential functional and behavioral information of malware, and detect unknown malware. Hence, building an experimental platform for malware gene analysis can effectively reduce the time required for students to quickly carry out the actual analysis process, support student needs for comprehensive data analysis, and provide a unified public service infrastructure for classroom teaching, practical training and scientific research. © 2020 IEEE.

关键词： Genes

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Register one-to-one mapping strategy in dynamic binary translation

引用

International Conference on Network Security and Communication engineering, NSCE 2014

作者： Cui, Y.N. Pang, J.M. Shan, Z. Yue, F. State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781138028210

Dynamic Binary Translation (DBT) is an important technology to cross-platform software transplantation such as enhancing the compatibility of Alpha. However, there exist some factors that impede its performance: high translation overhead and translated code of low quality. In this work, we take advantage of host registers, using register mapping strategy to promote the performance of DBT. By mapping registers from guest Instruction-Set Architectures (ISA) to host machines, it could off-load the overhead caused by load and store operations of memory. By simplifying the rules of the intermediate code generated, it could lower the number of intermediate code and improve the quality of translated code. Form X86 to ALPHA on SPEC 2006, the code expansion reduces 32.86% and the performance of the optimized translator is improved by 7.55%. © 2015 Taylor & Francis Group, London.

关键词： Mapping

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Memory Error Detection Based on Dynamic Binary Translation 20

Memory Error Detection Based on Dynamic Binary Translation

引用

20th IEEE International Conference on Communication Technology, ICCT 2020

作者： Xu, Hang Ren, Wei Liu, Zimian Chen, Jiajun Zhu, Junhu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781728181417

Dynamic memory error detection technology is widely utilized in locating and mitigating memory-corruption vulnerabilities. High false negative in existing technologies impairs the effectiveness of detection, especially when the detector has no source code. We proposed a dynamic memory error detection method based on dynamic binary translation. It realized the detection by combining a call stack tracing method and an IR language level memory error detection method. Experiments show that the detection success rate of this method in the heap and stack memory destruction is more than 80%. © 2020 IEEE.

关键词： Error detection

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