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Overview of Intrusion Detection in Smart Substation 10

Overview of Intrusion Detection in Smart Substation

引用

10th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2022

作者： Li, Zecun Ma, Rongkuan Xie, Yaobin Lu, Li State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Shangu Cyber Security Technology Co. Ltd Zhengzhou China

ISBN: (数字)9781665422079

ISBN: (纸本)9781665422079

The development of Cyber-Physical Fusion Technology gradually takes the power grid in the direction of intelligence, making the smart substation a typical cyber-physical fusion system. However, while the introduction of the IEC61850 standard solves the interoperability problem of smart substations, it also brings new types of cybersecurity threats. Therefore, traditional network intrusion detection techniques do not apply to smart substations, and it is particularly important to analyze and summarize the current relevant research on the security of smart substations. The main contribution of this paper is to discuss the security of smart substations in terms of threat behaviors and defense measures. In-depth analysis is carried out from the three attack perspectives of the information domain, physical domain, and cyber-physical intersection domain, and the detection methods, detection objects, and detection evaluation methods for smart substation security are summarized. Finally, the problems to be solved in smart substations and possible future research directions are discussed. © 2022 IEEE.

关键词： Cybersecurity

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A Vulnerability Automation Exploitation Method Based on Symbolic Execution

A Vulnerability Automation Exploitation Method Based on Symb...

引用

2023 International Conference on Electronic Information engineering and Data Processing, EIEDP 2023

作者： Ge, Xueshuai Liu, Tieming Xie, Yaobin Zhang, Yuanyuan Cyberspace Security Department State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Information service room Unit 32738 China

ISBN: (纸本)9781510666160

With increasing number of software vulnerabilities, the quantity of attacks utilizing malicious samples is also on rise, leading to intensified adversarial competition. In particular, the application of automatic vulnerability mining techniques has resulted in a significant increase in the number of vulnerabilities, but security researchers often do not have enough time to deal with them. This paper proposes a symbol-execution-based automated vulnerability exploitation method, which can achieve automation of vulnerability detection, classification and exploitation. Finally, this paper designs and implements a prototype system for symbol-execution-based automated vulnerability exploitation, and verifies its effectiveness through experiments. This research provides security analysts with an in-depth understanding of the types of vulnerabilities and determines methods for vulnerability exploitability, further improving the efficiency of analyzing and fixing vulnerabilities. © 2023 SPIE.

关键词： Automation

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Image Electronic Evidence Screening Based on Improved SSD 6

Image Electronic Evidence Screening Based on Improved SSD

引用

6th IEEE International Conference on Intelligent computing and Signal Processing, ICSP 2021

作者： Liu, Yafei Jiang, Liehui Liu, Tieming Zhang, Youwei Zhengzhou University Zhongyuan Network Security Research Institute Zhengzhou China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9780738143705

With the development of information technology, electronic evidence plays an increasingly important role in the judicial trial. In Judicial Forensics, it is difficult to extract effective electronic evidence accurately and quickly from a large number of electronic data. Traditional means generally take artificial identification to collect, which takes a long time and is not efficient. Using SSD target detection and recognition algorithm instead of traditional means can effectively reduce the time of screening evidence, but the basic SSD neural network is prone to miss detection for small targets. To solve the above problems, an improved SSD-based image electronic evidence screening method is proposed. This method optimizes the SSD neural network adaptively, introduces the attention mechanism module in the shallow convolution layer of the network to improve the representation ability of the feature map, and fuses the image features obtained from different convolution layers with multi-scale features to increase the shallow feature information. The experimental data are used to test the improved algorithm and analyze the experimental results. It is found that compared with the original SSD neural network algorithm, the detection mean average precision of the improved algorithm is increased by 4.7%, reaching 84.3%, which shows the feasibility and effectiveness of the improved algorithm. © 2021 IEEE.

关键词： Multilayer neural networks

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CSFW-SC: A high-dimensional clustering algorithm based on cuckoo search 3

CSFW-SC: A high-dimensional clustering algorithm based on cu...

引用

3rd International Conference on Cyberspace Technology, CCT 2015

作者： Wang, Jindong He, Jiajing Zhang, Hengwei Yu, Zhiyong Zhengzhou Institute of Information Science and Technology Zhengzhou 450001 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001 China

ISBN: (纸本)9781785610899

With the development of the research in data mining, cluster analysis has been widely used in several areas. Aiming at the issue that traditional clustering methods are not appropriate to high-dimensional data, a cuckoo search fuzzy-weighting algorithm for subspace clustering is proposed on the basis of the existing soft subspace clustering algorithms. In the proposed algorithm, a novel objective function is firstly designed by considering the fuzzy weighting within-cluster compactness and the between-cluster separation, and loosening the constraints of dimension weight matrix. Then gradual membership and improved cuckoo search, a global search strategy, are introduced to optimize the objective function and search subspace clusters, giving novel learning rules for clustering. At last, the performance of the proposed algorithm on the clustering analysis of various low and high dimensional datasets is experimentally compared with that of several competitive subspace clustering algorithms. Experimental studies demonstrate that the proposed algorithm can obtain better performance than most of the existing soft subspace clustering algorithms.

关键词： Clustering algorithms

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IG-C4.5: An improved feature selection method based on information gain

IG-C4.5: An improved feature selection method based on infor...

引用

2014 International Conference on Mechatronics, Electronic, Industrial and Control engineering, MEIC 2014

作者： Luo, Kai Yin, MeiJuan Luo, JunYong Li, JianLin State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan China Jiuquan Satellite Launch Center of China Jiuquan Gansu China

ISBN: (纸本)9789462520424

Feature selection is an important means to solve the problem of dimension reduction in anomaly network traffic detection. Focusing on the problem of traditional feature selection algorithm based on information gain neglect the redundancy between features, this paper proposes an improved feature selection method combining CFS and C4.5 algorithms-IG-C4.5. In the improved algorithm, the irrelevant features and the redundant features were removed by adding the judgments of redundancy between features, which effectively simplified the feature subset. The experimental results show that the proposed algorithm can effectively find the feature subsets with good separability, which results in the low-dimensional data and the good classification accuracy. © 2014. The authors - Published by Atlantis Press.

关键词： Feature Selection

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Cloud resource scheduling method based on estimation of distirbution shuffled frog leaping algorithm 3

Cloud resource scheduling method based on estimation of dist...

引用

3rd International Conference on Cyberspace Technology, CCT 2015

作者： Niu, Kan Wang, Jin-Dong Zhang, Heng-Wei Wang, Na Zhengzhou Institute of Information Science and Technology Zhengzhou450001 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China

ISBN: (纸本)9781785610899

Focusing on the problem of high efficiency resource scheduling in cloud computing environment, since current resource scheduling algorithm has been less given consideration to the shortest completion time and the least cost of the services, the fitness function which can comprehensive response the time and cost was designed, and an estimation of distribution-shuffled frog leaping algorithm (EDSFLA) was proposed. This algorithm redefined the evolutional operators of shuffled frog leaping algorithm (SFLA), utilizing the cross operators of genetic algorithm, targeted in applying to scheduling problem with integer-coded. EDSFLA introduced evolutionary strategy of estimation of distribution to break the confine of search pattern in the standard SFLA, and made the learning ability of this algorithm more comprehensive. Experimental results show that this algorithm has more capability in convergence and searching ability compared with the standard SFLA and EDA in solving cloud resource scheduling problems.

关键词： Cloud computing

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A Survey of Automatic Exploitation of Binary Vulnerabilities

A Survey of Automatic Exploitation of Binary Vulnerabilities

引用

2023 International Conference on Computer Network Security and Software engineering, CNSSE 2023

ISBN: (数字)9781510666528

ISBN: (纸本)9781510666511

The mining and exploitation of security vulnerabilities have always been the focus of offensive and defensive confrontations. In recent years, with the application of technologies such as fuzzing in vulnerability mining, the number of discovered vulnerabilities continues to increase, which seriously threatens the security of the network world. With so many vulnerabilities, it is unrealistic to rely solely on manual analysis by security experts, which is not only costly, but also time-consuming, and cannot meet the needs of vulnerability assessment and defense. Therefore, an automated exploit solution for vulnerabilities is urgently needed to solve the problem of low efficiency of manual vulnerability assessment. Existing research has proposed some solutions and achieved certain results. The purpose of this paper is to review and analyze the existing typical research results. © 2023 SPIE.

关键词： Network security

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Defense strategy selection based on signaling game 3

Defense strategy selection based on signaling game

引用

3rd International Conference on Cyberspace Technology, CCT 2015

作者： Zhang, Hengwei Wang, Jindong Yu, Dingkun Han, Jihong Wang, Na Zhengzhou Institute of Information Science and Technology Zhengzhou 450001 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001 China

ISBN: (纸本)9781785610899

Nowadays, network security defense based on game theory mostly used complete information or static game model. In order to get closer to the actual network and defend actively, we proposed a network attack-defense game model based on signaling game, which was modeled in a dynamic and incomplete way. We improved the attack-defense strategies quantitative method of the completed static game model to meet the needs of the network signaling game model. Moreover, we put forward an active defense strategy selecting algorithm to select optimal defense strategy for different characters of defender. At last, we analyzed and proved the feasibility and validity of the model and method through a network example.

关键词： Game theory

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Active defense strategy selection based on static Bayesian game 3

Active defense strategy selection based on static Bayesian g...

引用

3rd International Conference on Cyberspace Technology, CCT 2015

作者： Zhang, Hengwei Wang, Jindong Yu, Dingkun Han, Jihong Li, Tao Zhengzhou Institute of Information Science and Technology Zhengzhou 450001 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001 China

ISBN: (纸本)9781785610899

Nowadays, the network defense based on incomplete information game model ignored the type of the defender, used simple cost quantitative method, and chosen defense strategies improperly. Aiming at the problem, this paper proposed an active defense strategy selection based on static Bayesian game theory, constructed static Bayesian game model. The model considered the types of the attacker and the defender, and improved the classical strategies taxonomy and cost quantitative method with considering the strike back act of the defender and the success attack rate. Then, this paper calculated and comprehensively analyzed the Bayesian equilibrium of the game. Taking mixed strategies Bayesian equilibrium of attacker as the defender's prediction of attacker's action, this paper calculated the defense effectiveness of defense strategies and performed a defense strategies selection algorithm. At last, an example was provided to analyze and demonstrate the effectiveness of the model and algorithm.

关键词： Network security

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A presenter discovery method based on analysis of reputation record

A presenter discovery method based on analysis of reputation...

引用

International Conference on Computer, Communication and Computational Sciences, ICCCCS 2016

作者： Wang, Jin-dong Yu, Zhi-yong Liu, Xiang Sun, Miao Zhengzhou Institute of Information Science and Technology Zhengzhou450001 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China

ISBN: (纸本)9789811037726

In order to satisfy the requirement of service presenters’ credibility for recommendation system, this paper puts forward a method based on the analysis of the presenters’ reputation record to find the credible presenters. First, we calculate the preference similarity between different users with their preference vectors and get the presenter initial set. Then we calculate the domain correlation, recommendation response rate and recommendation satisfaction rate to filter the presenter initial set and get presenter candidate set. According to the recommendation history we calculate the presenters’ current reputation with introducing the penalty factor. Finally, we filter the presenters’ reputation record with localized changes and tendentious changes and calculate the skewness coefficient and kurtosis coefficient of the reputation records. Then we get the presenters’ excellent reputation values combined with the expectation and variance to choose the credible presenters who have higher reputation values. The experimental results show that it can improve the accuracy of presenter reputation calculation and the effectiveness of service recommendation. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Higher order statistics

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