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Mining defects of result-sensitive function based on information entropy 6th

Mining defects of result-sensitive function based on informa...

引用

6th International Conference on Artificial Intelligence and Security,ICAIS 2020

作者： Chen, Lin Yang, Chunfang Liu, Fenlin Gong, Daofu Yin, ZhongXu Zhengzhou Science and Technology Institute Zhengzhou450001 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China

ISBN: (纸本)9789811581007

Result-sensitive function is a typical type of security-sensitive function. The misuse of result-sensitive functions often leads to a lot kinds of software defects. Existing defect detection methods based on code mining for result-sensitive functions usually require a gived security rule or an inferred security rule as input. Based on the principle of consistency, we propose a defect detection method based on information entropy. Firstly, the feature vector about usage of function is extracted from every function instance. Then, the information entropy is introduced to measure the abnormal degree of the feature vector. The function instances with high degree of abnormality is regarded as dangerous instances. Experiments show that the proposed method can effectively detect dangerous instances of security defects without a gived security rule. © Springer Nature Singapore Pte Ltd 2020.

关键词： Defects

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An Extraction Method of Network Security Situation Elements Based on Gradient Lifting Decision Tree

An Extraction Method of Network Security Situation Elements ...

引用

2021 International Conference on advanced computing and Endogenous Security, ICACES 2021

作者： Ma, Zhaorui Zhang, Shicheng Chang, Yiheng Zhou, Qinglei Hu, Xinhao Li, Xia State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450052 China Zhengzhou University of Light Industry Zhengzhou450002 China

ISBN: (纸本)9781665424493

The primary purpose of acquiring network security situation elements is to detect and discover potential security threats from discrete and isolated data. In the complex network environment, the existing network security situation element acquisition technology has the problems of low extraction accuracy and low extraction efficiency. To solve these problems, a method for extracting network security situation elements based on Gradient Boosting Decision Tree (GBDT) is proposed. This method uses the attribute reduction function of rough set to preprocess the original data, which can effectively reduce redundancy. Furthermore, the initial parameters of GBDT are optimized by quantum particle swarm optimization (QPSO) algorithm to improve stability. Finally, the optimized GBDT classifier is used to classify and train with the reduced data set, and the accuracy of the final classifier is continuously improved by reducing the deviation via iterative optimization. Experiments demonstrate that the proposed algorithm achieves significant results and outperforms several state-of-the-art algorithms to the extraction of network security situation elements on the UNSW-NB15 dataset. © 2022 IEEE.

关键词： Extraction

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Efficient stego key recovery based on distribution differences of extracting message bits

Efficient stego key recovery based on distribution differenc...

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作者： Liu, Jiufen Gan, Junjun Wang, Junchao Xu, Che Luo, Xiangyang Zhengzhou Science and Technology Institute Zhengzhou450001 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China

The extraction of embedded messages, i.e., extraction attacks are the ultimate purpose of steganalysis, with great practical significance to obtain covert communication content and covert communication forensics. For steganography using a stego key, the extraction attacks are equivalent to the stego key recovery. This paper mainly studies the methods of efficient stego key recovery for LSB steganography in JPEG domain. According to the distribution differences of extracting message bits generated by the correct and incorrect keys, stego key recovery is transformed into the hypothesis test of the message bits distribution extracted by the correct and incorrect keys. Firstly, by fitting the message bits distribution extracted by the correct key, a stego key recovery method based on nonparametric hypothesis test is proposed. Secondly, by utilizing the distribution differences between message bits extracted by the correct and incorrect keys, a stego key recovery method based on parametric hypothesis test is proposed. And then, formulas are given for calculating the sample size and threshold in the proposed stego key recovery model, on the basis of type I error and type II error. Experimental results show that the proposed method can successfully recover the stego key of OutGuess 0.13b, OutGuess0.2, JPEG domain random LSB matching steganography and random F3 steganography, the performance is superior to that of existing methods. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Extraction

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A two-factor authenticated key exchange protocol based on RSA with dynamic passwords

A two-factor authenticated key exchange protocol based on RS...

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作者： Wei, Fushan Ma, Jianfeng Ma, Chuangui Li, Xinghua School of Computer Science and Technology Xidian University Xian China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

In order to reduce the damage of phishing and spyware attacks for password-based systems, this paper presents a novel two-factor authenticated key exchange protocol based on smart cards and dynamic one-time passwords. The main advantages of the proposed protocol can be summarised as follows: 1) the dynamic password is updated automatically in every communication session;2) the user only needs to remember one password, so does the server. The proposed protocol can resist e-residue attacks and replacement attacks. We also prove the security of the protocol under the RSA assumption in the random oracle model. © 2015 Inderscience Enterprises Ltd.

关键词： Smart cards

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Improvement and optimization of consensus algorithm based on PBFT 4

Improvement and optimization of consensus algorithm based on...

引用

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

作者： Zhao, Liang Li, Bin Zhou, Qinglei Chen, Xiaojie Zhengzhou University School of Computer and Artificial Intelligence Zhengzhou China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781665498487

ISBN: (纸本)9781665498487

This paper proposes an improved consensus algorithm based on PBFT(EBCR-PBFT). Firstly, The Modified Random Select(MRS) function is used to perform preliminary screening of network nodes, so as to solve the problem of multiple and redundant network nodes. Secondly, based on the idea of clustering, logical stratification of blockchain network nodes can reduce communication times and improve network efficiency. Thirdly, the core module of MRS is optimized by FPGA to further improve the efficiency of the algorithm. At the same time, the improved dynamic reputation evaluation model is introduced to evaluate and feedback the node behavior in time to ensure the smooth operation of the system. Experiments show that the proposed and optimized consensus algorithm can effectively improve the consensus efficiency, timely punish malicious nodes, increase the reliability of nodes, communication overhead, throughput, delay and other high performance, has a certain application value. © 2022 IEEE.

关键词： Field programmable gate arrays (FPGA)

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A malware detection method using satisfiability modulo theory model checking for the programmable logic controller system

A malware detection method using satisfiability modulo theor...

引用

作者： Xie, Yaobin Chang, Rui Jiang, Liehui State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China College of Computer Science and Technology Zhejiang University Hangzhou China

Nowadays programmable logic controllers (PLCs) are suffering increasing cyberattacks. Attackers could reprogram PLCs to inject malware that would cause physical damages and economic losses. These PLC malwares are highly customized for the target which makes it difficult to extract a general pattern to detect them. In this article, we propose a PLC malware detection method based on model checking. Firstly, we improve the existing modeling method for PLC system by using the Satisfiability Modulo Theory (SMT) constraints to model the PLC system. We also present an algorithm that can transform the PLC program to the model. Our SMT-based model can deal with the features of the PLC system such as undetermined input signals, edge detection and so on. Secondly, we focus on malware detection and propose two methods, invariant extraction and rule design pattern, to generate detection rules. The former can extract the invariants from an original program, and the latter can lower the bar for user to design detection rules. Finally, we implement a prototype and evaluate it on three representative ICS scenarios. The evaluation result shows that our proposed method can successfully detect the malwares using four attack patterns. © 2020 John Wiley & Sons, Ltd.

关键词： Model checking

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Factorization of odd integers as lattice search procedure 1

引用

9th International Symposium on Intelligence Computation and Applications, ISICA 2017

作者： Wang, Xingbo Foshan University Foshan CityGuangdong Province528000 China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China

ISBN: (数字)9789811316517

ISBN: (纸本)9789811316500

The article puts forward a 3-dimensional searching approach that can factorize odd composite integers. The article first proves that, an odd composite number can be expressed by a trivariate function, then demonstrates that factorization of an odd integer can be turned into a problem of searching a point in a 3-dimensional cube whose points can be searched rapidly via octree search algorithm or other 3-dimensional searching algorithm. mathematical principles with their proofs are presented in detail, and an algorithm that reaches square of logarithm time-complexity is proposed with numerical examples. The proposed algorithm can be applied both in sequential computation and parallel computation. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Factorization

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A review of cryptographic algorithm recognition technology for binary code

A review of cryptographic algorithm recognition technology f...

引用

2021 International Conference on Computer Network Security and Software engineering, CNSSE 2021

作者： Zhao, Chenxia Kang, Fei Yang, Ju Shu, Hui Zhengzhou University Zhengzhou Henan450001 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan450001 China

Aiming at the cryptographic algorithm that may be contained in the binary program, combined with existing research results, several cryptographic algorithm identification techniques are analyzed, including control flow graphs, data flow graphs, feature matching, selection of command statistical attributes, and semantic-based behavior analysis. The recognition effects of related technologies are discussed respectively. © Published under licence by IOP Publishing Ltd.

关键词： Graphic methods

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Feature selection method for image steganalysis based on weighted inner-inter class distance and dispersion criterion 19

Feature selection method for image steganalysis based on wei...

引用

2019 ACM Turing Celebration Conference - China, ACM TURC 2019

作者： Ma, Yuanyuan Luo, Xiangyang Li, Zhenyu Zhang, Yi Bors, Adrian G. State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Department of Computer Science University of York York United Kingdom

ISBN: (纸本)9781450371582

In order to improve the detection of hidden information in signals, additional features are considered as inputs for steganalysers. This research study proposes a feature selection method based on Weighted Inner-Inter class Distance and Dispersion (W2ID) criterion in order to reduce the steganalytic feature dimensionality. The definition of W2ID criterion and an algorithm determining the weight for the W2ID criterion based on the frequency statistical weighting method are proposed. Then, the W2ID criterion is applied in the decision rough set a-positive domain reduction, producing the W2ID-based feature selection method. Experimental results show that the proposed method can reduce the dimension of the feature space and memory requirements of Gabor Filter Residuals (GFR) feature while maintaining or improving the detection accuracy. © 2019 Association for computing Machinery.

关键词： Feature Selection

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A Scalable Attention Mechanism Based Neural Network for Text Classification 4

A Scalable Attention Mechanism Based Neural Network for Text...

引用

2019 4th International Seminar on Computer Technology, Mechanical and Electrical engineering, ISCME 2019

作者： Zheng, Jianyun Pang, Jianmin Zhang, Xiaochuan Sun, Di Zhou, Xin Zhang, Kai Wang, Dong Li, Mingliang Wang, Jun State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450002 China Xi'An Institute of Surveying and Mapping Xi'an710000 China

In general, deep learning based text classification methods are considered to be effective but tend to be relatively slow especially for model training. In this work, we present a powerful, so-called "scalable attention mechanism", which performs better than conventional attention mechanism in terms of both effectiveness and the speed of model training. Based on the scalable attention mechanism, we propose a neural network for text classification. The experimental results on eight representative datasets show that our method can obtain similar accuracy to state-of-the-art methods with training in less than 4 minutes on an NVIDIA GTX 1080Ti GPU. To the best of our knowledge, our method is at least twice faster than all the published deep learning classifiers. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Classification (of information)

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