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7th International Conference on Software and Information engineering, ICSIE 2018

作者： Song, Xiaobin Wu, Zehui Wang, Yunchao State Key Laboratory of Mathematical Engineering and Advanced Computing Malaysia China National Digital Switching System Engineering and Technological Research Center Zhengzhou China

ISBN: (纸本)9781450364690

Fuzzing is a widely used technology to find vulnerabilities, but the current technology is mostly based on coverage and there are relatively few research in the field of directed fuzzing. In this paper, a parallelized testing technique combining directed fuzzing and concolic execution will be proposed. It extracts path space within the level of basic block in the function call chain through the program control flow analysis and function call relationship. Concolic execution is used to implement the target reachable paths guidance, in order to achieve the goal of rapid arrival. In the experimental stage, the developed Directer was used to test on LAVA dataset, which shows better performance than the existing fuzzers. © 2018 Association for computing Machinery.

关键词： Statistical tests

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A Multi-Variant Voting Algorithm Based on Dynamic Feedback 2

A Multi-Variant Voting Algorithm Based on Dynamic Feedback

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2nd International Conference on Computer Communication and Network Security, CCNS 2021

作者： Yuwen, Shao Zheng, Zhang Bingzheng, Li Xinsheng, Ji State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China National Digital Switching System Engineering Technological RD Center Zhengzhou China

ISBN: (纸本)9781665427111

Multi-variant execution framework can protect software security. For the problem of performance loss caused by too many voting times in the existing multi-variant execution framework, this paper proposes a multi-variant voting algorithm based on dynamic feedback, which can make the multi-variant continuously improve its corresponding voting strategy at runtime. Using this algorithm, the multi-variant can get a stable voting range, reduce the number of voting, and effectively improve the performance of multi-variant. © 2021 IEEE.

关键词： Runtime Heuristic algorithms Software algorithms Network security Software Computer security

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A Graph Reasoning Model Based on Multiple Types of Nodes 7

A Graph Reasoning Model Based on Multiple Types of Nodes

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7th International Conference on Big Data and Information Analytics, BigDIA 2021

作者： Liu, Yibing Huo, Lijun Zhou, Gang Information Engineering University State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China National University of Defense Technology Key Laboratory of Information System Engineering Changsha China

ISBN: (纸本)9781665424660

Multi-hop machine reading comprehension (MRC) depends on the model to answer a semantically related question based on the given supporting text. In this study, inspired by previous research about Graph Neural Network(GNN), we develop a new graph covering three kinds of nodes: Sentence, Entity, Candidate. A corresponding MRC method based on graph inference is proposed, called SEC reasoner. The advantage of SECr is that it adopts different granular information as graph nodes, which can execute a more comprehensive reasoning. Our proposed model first initialize the node representations by co-Attention, multi-head attention and self-Attention based on context embedding. SECr then employs GNN based information transfer algorithms to collect evidences from the node encoding, and calculates a score for choosing the answer. In experiments, we evaluate the model on two popular benchmark datasets-WikiHop and MedHop. SECr reachs accuracy rates of 71.6%, 63.1% respectively, which is a competitive result. In addition, a comprehensive analysis proves the effectiveness and interpretability of the SECr. © 2021 IEEE.

关键词： Semantics

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A Cross-Platform Instant Messaging User Association Method Based on Supervised Learning 4th

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

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4th International Conference on Big Data and Security, ICBDS 2022

作者： Zhou, Pei Luo, Xiangyang Du, Shaoyong Shi, Wenqi Guo, Jiashan School of Cyber Science and Engineering Zhengzhou University Zhengzhou450000 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450000 China

ISBN: (纸本)9789819932993

To solve the multi-platform user association problem of complex trajectory matching process and high time cost in cross-platform association positioning of instant messaging users, and at the same time make full use of the information in user trajectories, this paper proposes a supervised learning-based cross-platform instant messaging user association positioning method. The algorithm firstly places probes in the area where the target may appear to obtain user information;then gets user trajectories through the obtained user distance information and time information;selects user features through the classification algorithm of supervised learning, and designs a cross-platform instant messaging user association localization method based on supervised learning, so as to increase the association efficiency and accuracy of cross-platform instant messaging user association. The method conducts specific experiments for the most commonly used instant messaging tools in China, WeChat and Stranger users, and the results show that the method can achieve efficient and reliable association for these two types of instant messaging users. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Trajectories

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Binary semantic Similarity Comparison based on software gene

Binary semantic Similarity Comparison based on software gene

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2019 International Conference on Artificial Intelligence Technologies and Applications, ICAITA 2019

作者： Sun, Wenjie Chen, Yihang Shan, Zheng Liu, Fudong Wang, Qiuna State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Materials Branch of State Grid Henan Electric Power Company Zhengzhou China

The similarity of binary code is widely used in code copyright protection, vulnerability mining, malicious code analysis and etc. In this paper, we proposed a method for measuring/evaluating the similarity of two binary files based on software genes. Some of Natural language processing methods were introduced into program semantics analysis, including word2vec and doc2vec models to generate assembly instruction embeddings and gene semantic embeddings. Then the longest common subsequence method was applied to evaluate the software similarity. Experiments show that our method can effectively evaluate the similarity of binary files. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Genes

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Establishment and Application of Cryptographic Library Model

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Journal of Computer and Communications 2015年第5期3卷 21-32页

作者： Tie-Ming Liu Lie-Hui Jiang Jing Jing Yuan-Yuan Zhang The State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

When doing reverse analysis of program’s binary codes, it is often to encounter the function of cryptographic library. In order to reduce workload, a cryptographic library model has been designed by analysts. Models use formalized approach to describe the frame of cryptology and the structure of cryptographic function, complete the mapping from cryptographic function property to its architecture, and accomplish the result presentation of data analysis and mapping at last. The model can solve two problems: the first one is to know the hierarchy of the cryptographic function in the library well;the second one is to know some kinds of information, such as related cryptology algorithm and protocol, etc. These function implements can display the result graphically. The model can find relevant knowledge for the analysts automatically and rapidly, which is helpful to the learning of the overall abstract structure of cryptology.

关键词： Cryptographic Library Model Cryptographic Library Architecture Cryptographic Algorithm Encryption and Decryption keys Encryption and Decryption Data Information Recovery

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HM-QCNN: Hybrid Multi-branches Quantum-Classical Neural Network for Image Classification 9th

HM-QCNN: Hybrid Multi-branches Quantum-Classical Neural Netw...

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19th International Conference on advanced Data Mining and Applications, ADMA 2023

作者： Liu, Haowen Gao, Yufei Shi, Lei Wei, Lin Shan, Zheng Zhao, Bo School of Cyber Science and Engineering Songshan Laboratory Zhengzhou University Zhengzhou China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9783031466632

Quantum machine learning has been developing in recent years, demonstrating great potential in various research domains and promising applications for pattern recognition. However, due to the constraints of quantum hardware, the input qubits are restricted caused by small circuit size, and the fuzziness in all dimensions caused by the features that are difficult to be effectively mined. Besides, previous studies focus on binary classification, but multi-classification received little attention. To address the difficulty in multi-classification, this paper proposed a hybrid multi-branches quantum-classical neural network (HM-QCNN) that utilizes a multi-branch strategy to construct the convolutional part. The part consists of three branches to extract the features of different scales and morphologies. Two quantum convolutional layers apply quantum CRZ gates and rotational gates to design a random quantum circuit (RQC) with 4 qubits and full qubits measurements. The experiments on three public datasets (MNIST, Fashion MNIST, and MedMNIST) demonstrate that HM-QCNN outperforms other prevalent methods with accuracy, precision, and convergence speed. Compared with the classical CNN and the hybrid neural network without multi-branches, HM-QCNN reached 97.40% and improved the accuracy of classification by 6.45% and 1.36% on the MNIST dataset, respectively. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Qubits

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HRPDF: A Software-Based Heterogeneous Redundant Proactive Defense Framework for Programmable Logic Controller

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Journal of Computer Science & Technology 2021年第6期36卷 1307-1324页

作者： Ke Liu Jing-Yi Wang Qiang Wei Zhen-Yong Zhang Jun Sun Rong-Kuan Ma Rui-Long Deng State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001China College of Control Science and Engineering Zhejiang UniversityHangzhou 310027China College of Computer Science and Technology Guizhou UniversityGuiyang 550025China School of Information Systems Singapore Management UniversitySingapore 689867Singapore

Programmable logic controllers(PLCs)play a critical role in many industrial control systems,yet face increasingly serious cyber *** this paper,we propose a novel PLC-compatible software-based defense mechanism,called Heterogeneous Redundant Proactive Defense Framework(HRPDF).We propose a heterogeneous PLC architecture in HRPDF,including multiple heterogeneous,equivalent,and synchronous runtimes,which can thwart multiple types of attacks against PLC without the need of external *** ensure the availability of PLC,we also design an inter-process communication algorithm that minimizes the overhead of *** implement a prototype system of HRPDF and test it in a real-world PLC and an OpenPLC-based device,*** results show that HRPDF can defend against multiple types of attacks with 10.22%additional CPU and 5.56%additional memory overhead,and about 0.6 ms additional time overhead.

关键词： industrial control system programmable logic controller proactive defense heterogeneous redundant architecture

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The Design and Research for Network Address Space Randomization in OpenFlow Network

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Journal of Computer and Communications 2015年第5期3卷 203-211页

作者： Ziyu Zhao Yuanbo Guo Wei Liu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

By allocating IP address and changing IP address in source and destination hosts, network address space randomization is committed to construct a dynamic and heterogeneous network to decrease the attacking possibility and predictability. The research mainly deploys the features of OpenFlow network including data plane and control plane decoupling, centralized control of the network and dynamic updating of forwarding rules, combines the advantages of the network address space randomization technology with the features of the OpenFlow network, and designs a novel resolution towards IP conversion in Floodlight controller. The research can help improve the unpredictability and decrease the possibility of worm attacking and IP sniffing by IP allocation.

关键词： IP Conversion OpenFlow Moving Target Defense Floodlight Hitlist Worms

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Improved integral and zero-correlation linear cryptanalysis of CLEFIA block cipher 12th

Improved integral and zero-correlation linear cryptanalysis ...

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12th International Conference on Information Security and Cryptology, INSCRYPT 2016

作者： Yi, Wentan Wu, Baofeng Chen, Shaozhen Lin, Dongdai State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9783319547046

CLEFIA is a block cipher developed by Sony Corporation in 2007. It is a recommended cipher of CRYPTREC, and has been adopted as ISO/IEC international standard in lightweight cryptography. In this paper, some new 9-round zero-correlation linear distinguishers of CLEFIA are constructed with independent input masks and output masks, which admit multiple zero-correlation linear attacks on 14/15- round CLEAIA-192/256 about 79 times faster than results of the SAC paper with one-eighth of data. Furthermore, some new integral distinguishers over 9 rounds are derived by the relations between integral distinguishers and zero-correlation linear approximations. By using these integral distinguishers, the previous integral attacks on CLEFIA are improved with the partial sum technique. Our results have either one more rounds or lower time complexity than previous attack results with integral and zero-correlation linear cryptanalysis. © Springer International Publishing AG 2017.

关键词： Cryptography

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