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International Symposium on Parallel Architectures, Algorithms and Programming (PAAP)

作者： Huihui Sun Rongcai Zhao Wei Gao Yi Gong Gang Li State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Information Engineering University Zhengzhou China

SIMD (Single Instruction Multiple Data) extension units are ubiquitous in modern processors. Array indirections raise several challenges for SIMD vectorization including disjoint memory access, unknown alignment and dependence cycle. Existing SIMD automatic vectorization methods fail to handle these challenges very well. This paper presents a new method exploiting Pure SLP (Superword Level Parallelism) to address these problems. Dependence equation is rewritten to work out the dependence testing for index array. To address the problem of non-aligned and disjoint challenges, data alignment in recombinant registers and redundant statements are employed respectively. In addition, a precise cost model is proposed to guarantee positive benefits. Experiments on three typical array indirection applications extracted from SPEC2006 benchmarks verified the validity of this method.

关键词： Arrays Testing Indexes Parallel processing mathematical model Registers Program processors

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The Research and Application of Zero Trust:A Review

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SSRN 2024年

作者： Meng, Qi Fei, Jinlong Lu, Bin Wang, Xuemeng Wu, Wei Zhang, Zihao Huang, Jing State Key Laboratory of Mathematical Engineering And Advanced Computing PLA Information Engineering University Zhengzhou450000 China

With the emergence of new technologies such as cloud computing, mobile internet, the Internet of Things, and 5G, the internet ecosystem has undergone significant changes. The connections between people and devices have become closer, but they also face more complex and advanced threats. Traditional security concepts and technologies gradually cannot meet the security requirements of the current environment. Zero Trust provides a new paradigm that can effectively solve the current security dilemma in the internet ecosystem. This article starts with the research background of Zero Trust, introduces the emergence and development of Zero Trust, its basic definition, and studies the abstract architecture and deployment models of Zero Trust. It focuses on three key technologies of Zero Trust: identity and access management, micro-segmentation, and software-defined perimeters. The article also summarizes the implementation and practical solutions of Zero Trust by current enterprises, with a detailed explanation of the Google BeyondCorp Zero Trust implementation solution. The latter part of the article emphasizes the research and application of Zero Trust in different academic and application fields, reviewing and summarizing the literature on Zero Trust in academia and applications. Finally, the article summarizes the research and application of Zero Trust and provides an outlook on the future development of Zero Trust. © 2024, The Authors. All rights reserved.

关键词： Ecosystems

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Practical Software Diversification Tool Chain for Dissimilar Redundancy Architecture

Practical Software Diversification Tool Chain for Dissimilar...

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IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)

作者： Gaofei Zhang Zheng Zhang Jiang Wang Xinsheng Ji State key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Information Engineering University Zhengzhou China

ISBN: (数字)9781728152448

ISBN: (纸本)9781728152455

With the rapid development of the information society, there are corresponding tool solutions for various daily problems. Aiming at the complex generation process and inconvenient operation of heterogeneous components in a security defense system constructed with dissimilar redundancy, in this paper, we propose a practical basic software application isomerization tool chain, which integrates a series of key technologies of heterogeneous structures. At the same time, corresponding automated tests are provided for users to conduct comprehensive evaluation. Experimental evaluation shows that the tool chain will be able to provide heterogeneous component support for security defense technologies based on dissimilarity redundancy construction and improve the security of software systems.

关键词： Redundancy Computer architecture Tools Software Hardware Security Testing

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High-payload image-hiding scheme based on best-block matching and multi-layered syndrome-trellis codes

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8787卷 336-350页

作者： Han, Tao Fei, Jinlong Liu, Shengli Chen, Xi Yuefei, Zhu Zhengzhou Information Science and Technology Institute Zhengzhou China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

Image steganography has been widely used in the domain of privacy protection, such as the storage and transmission of the secret images. This paper presents a novel image-hiding scheme to embed the secret image into an innocent cover image. We use a block matching procedure to search for the best-matching block for each secret image block. Then the k-means clustering method is used to select k representative blocks for the not-well-matched secret image blocks. Moreover, the bases and indexes of the well-matched blocks together with the representative blocks are compressed by the Huffman coding. Finally, we use multi-layered syndrome-trellis codes (STC) to embed all the relevant data into multiple least significant bit (LSB) planes of the cover image. The results of experiments show that the proposed method outperforms some previous image-hiding methods. © Springer International Publishing Switzerland 2014.

关键词： Clustering algorithms

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A Hybrid Loss Network for Localization of Image Manipulation 19th

A Hybrid Loss Network for Localization of Image Manipulation

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19th International Workshop on Digital Forensics and Watermarking, IWDW 2020

作者： Yin, Qilin Wang, Jinwei Luo, Xiangyang Nanjing University of Information Science and Technology and Engineering Research Center of Digital Forensics Ministry of Education Nanjing210044 China State Key Laboratory of Mathematical Engineering and Advanced Computing Henan450001 China Shanxi Key Laboratory of Network and System Security Xidian University Xi’an710071 China

ISBN: (纸本)9783030694487

With the development of information security, localization of image manipulations havs become a hot topic. In this paper, a hybrid loss network is proposed for the manipulated image forensics. First, the patch prediction module extracts corresponding features representing the discrepancy of the tampered region boundaries. Then, these features are constrained by the Pixel Normalization, thereby improving the classification performance for the tampered patches. Finally, multi-scale patch prediction masks and semantic information are fused to segment out the tampered regions. The experiments demonstrate the proposed model can achieve high performance. © 2021, Springer Nature Switzerland AG.

关键词： Pixels

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A parallel target-directed analysis method for malware behaviors

A parallel target-directed analysis method for malware behav...

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International Conference on Cyberspace Technology (CCT 2014)

作者： Yanfeng Qin Qingxian Wang Yongjun Zeng Qi Xi Luoyang University of Foreign Languages China State Key Laboratory of Mathematical Engineering and Advanced Computing China

ISBN: (纸本)9781510802704

To improve the efficiency of analyzing malware behaviors and increase the validity of the test data, this paper proposes a parallel target-directed analysis method for malware behaviors, which combines static analysis with concolic testing techniques. It first uses static analysis techniques to identify and locate those interactive or input points and sensitive behavior functions. Then based on the distributed platform, by combining symbolic execution and concrete dynamic execution together and taking malware sensitive behaviors as the leading target, the parallel target-directed algorithm of searching sensitive paths and the method of leading and approaching sensitive behaviors are designed. It leads to traverse the sensitive functions, obtain the sensitive paths which can reach the sensitive behavior areas by path backtracking, and generate the corresponding test data. Finally, it finishes the analysis and test of malware behaviors. Experiments show that, compared with fuzz and full paths covering and traversing technique, this method can generate test data more efficiently, reduce the number of paths to be analyzed, and improve the analysis speed and efficiency of malware behaviors.

关键词： malware parallel analysis sensitive behavior function sensitive path symbolic execution target-directed Spyware observational data Paths

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Opcode sequence analysis of Android malware by a convolutional neural network

Opcode sequence analysis of Android malware by a convolution...

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作者： Li, Dan Zhao, Lichao Cheng, Qingfeng Lu, Ning Shi, Wenbo School of Computer Science and Engineering Northeastern University Shenyang China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China School of Computer Science and Technology Xidian University Xi'an China School of Computer and Communication Engineering Northeastern University at Qinhuangdao Qinhuangdao China

The number of malware has exploded due to the openness of the Android platform, and the endless stream of malware poses a threat to the privacy, tariffs, and device of mobile phone users. A novel Android mobile malware detection system is proposed, which employs an optimized deep convolutional neural network to learn from opcode sequences. The optimized convolutional neural network is trained multiple times by the raw opcode sequences extracted from the decompiled Android file, so that the feature information can be effectively learned and the malicious program can be detected more accurately. More critically, the k-max pooling method with better results is adopted in the pooling operation phase, which improves the detection effect of the proposed method. The experimental results show that the detection system achieved the accuracy of 99%, which is 2%-11% higher than the accuracy of the machine learning detection algorithms when using the same data set. It also ensures that the indicators, such as F1-score, recall, and precision, are maintained above 97%. Based on the detection system, a multi–data set comparison experiment is carried out. The introduced k-max pooling is deeply studied, and the effect of k of k-max pooling on the overall detection effect is observed. © 2019 John Wiley & Sons, Ltd.

关键词： Android malware

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City-level geolocation algorithm of network entities based on landmark clustering

City-level geolocation algorithm of network entities based o...

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International Conference on advanced Communication Technology (ICACT)

作者： Guang Zhu Xiangyang Luo Fenlin Liu Fan Zhao State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Science and Technology Institute Zhengzhou China

For the existing network entity geolocation algorithms based on the delay measurement are usually suffer from the inflation and jitter of the network delay, a new algorithm of city-level geolocation based on landmark clustering is proposed in this paper. According to the feature of the delays tend to be similar among the neighboring network entities generally, city-level network entities geolocation algorithm based on landmark clustering is given. In the proposed algorithm, the city-level landmarks are divided into several clusters based on the "delay similarity" principle to filters out the high-reliability landmarks for improving the precision of city-level geolocation algorithm, the minimal relative delay between cluster and target is calculated based on the minimal relative delay, and the region of this cluster is taken as the estimation of target's location. The rationality of the delay clustering, feasibility of the proposed algorithm, and experimental results show that the proposed algorithm reduces effectively the delay influence on the IP geolocation algorithms, and the geolocation accuracy is higher than the classic GeoPing algorithm.

关键词： Delays Geology Clustering algorithms IP networks Cities and towns Estimation Reliability

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A Method of Multiple Encryption and Sectional Encryption Protocol Reverse engineering

A Method of Multiple Encryption and Sectional Encryption Pro...

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International Conference on Computational Intelligence and Security

作者： Wei Lin Jinlong Fei Yuefei Zhu Xiaolong Shi State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan P.R. China

ISBN: (纸本)9781479974351

Research on unknown network protocol reverse engineering is of great significance in many network security applications. Currently most of methods are limited in analyzing plain-text protocols, and a few of method can partly analyze the encryption protocol which is powerless for multiple encryption protocol or sectional encryption protocol. This paper proposes a method of encrypted protocol reverse engineering based on dynamic taint analysis. The method uses Pin to record executed instructions, and then conducts off-line analysis of the data dependencies to build two taint propagation graphs on instruction and function level, then recover the decryption process. The decrypted plaintext can be located due to the decryption process feature. And then, the format of protocol can be parsed. Experiments show that the method can accurately locate the decrypted protocol data of the multiple encryption and sectional encryption protocol, and restore the original format.

关键词： Protocols Encryption Flow graphs Memory management Reverse engineering

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A Cross-Platform Instant Messaging User Association Method Based on Spatio-temporal Trajectory 8th

A Cross-Platform Instant Messaging User Association Method B...

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8th International Conference on Artificial Intelligence and Security , ICAIS 2022

作者： Zhou, Pei Luo, Xiangyang Du, Shaoyong Li, Lingling Yang, Yang Liu, Fenlin School of Cyber Science and Engineering Zhengzhou University Zhengzhou450000 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450000 China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China School of Intelligent Engineering Zhengzhou University of Aeronautics Zhengzhou450000 China School of Computing and Information Systems Singapore Management University Singapore188065 Singapore

ISBN: (纸本)9783031067600

The current research on cross-platform instant messaging user association is mainly divided into two categories: based on user attributes and based on user behavior. Methods based on user attributes mainly identify users through multiple attributes such as user name and multi-platform user information association based on cell phone number, but user association is not possible when multi-platform user information is inconsistent and users do not grant their address book permissions. Methods based on user behavior mainly calculate the similarity between user trajectories features such as geographic location frequency and co-occurrence, but this method lacks the user’s information, which leads to the inability to fully excavate the sequential features of the trajectory and affects the accuracy of trajectory matching. In order to solve this problem, this paper proposes a cross-platform instant messaging user association algorithm based on temporal trajectories (CPTrajst). We firstly place probes in the area where the target may appear so as to obtain user information, gets user trajectory, then processes the trajectory and performs two trajectory matches, finally associate users of different platforms whose trajectories match, thus increasing the accuracy and reliability of cross-platform instant messaging user association. We conducts specific experiments for users of WeChat and Momo, the most commonly used instant messengers in China. The results show that we can achieve reliable association for these two types of instant messaging users and the user association accuracy can reach 99.5%, which is better than the existing user association algorithms based on trajectory matching. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Trajectories

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