Discovery and research of network security vulnerabilities based on Web application by Xiao-shuang ZHANG, Yi-ling XU, Yuan LIU

“…Web security vulnerabilities can be divided into two categories,including security vulnerabilities Web platform and Web their own application.By analyzing the attack principle and process of Web application network security vulnerabilities,XSS vulnerability including type of the reflective,stored,and DOM,SQL injection vulner-ability and session authentication management vulnerability were studied.The corresponding preventive measures of the three kinds of vulnerabilities were put forward.…”
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FWA-SVM Network Intrusion Identification Technology for Network Security by Yaohui Zhang

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Quantitative method for network security situation based on attack prediction by Hao HU, Run-guo YE, Hong-qi ZHANG, Ying-jie YANG, Yu-ling LIU

“…To predict the attack behaviors accurately and comprehensively as well as to quantify the threat of attack,a quantitative method for network security situation based on attack prediction was proposed.By fusing the situation factors of attacker,defender and network environment,the capability of attacker and the exploitability rate of vulnerability were evaluated utilizing the real-time detected attack events,and the expected time-cost for attack-defense were further calculated.Then an attack prediction algorithm based on the dynamic Bayesian attack graph was designed to infer the follow-up attack actions.At last,the attack threat was quantified as the security risk situation from two levels of the hosts and the overall network.Experimental analysis indicates that the proposed method is suitable for the real adversarial network environment,and is able to predict the occurrence time of attack accurately and quantify the attack threat reasonably.…”
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Survey on rail transit mobile edge computing network security by Renchao XIE, Wen WEN, Qinqin TANG, Yunlong LIU, Gaochang XIE, Tao HUANG

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Optimal Management of Computer Network Security in the Era of Big Data by Minfeng Chen

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Integrating PCA and DEA techniques for strategic assessment of network security by Reza Rasinojehdehi, Seyyed Najafi

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Challenges and innovative solutions of space-ground integrated network security by LI Jinhui, HUANG Chengbin, WANG Jinhua, LIU Yang

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Network security situation evaluation method for multi-step attack by Hao-pu YANG, Hui QIU, Kun WANG

“…Aiming at analyzing the influence of multi-step attack,as well as reflecting the system’s security situation accurately and comprehensively,a network security situation evaluation method for multi-step attack was proposed.This method firstly clustered security events into several attack scenes,which was used to identify the attacker.Then the attack path and the attack phase were identified by causal correlation of every scene.Finally,combined with the attack phase as well as the threat index,the quantitative standard was established to evaluate the network security situation.The proposed method is assessed by two network attack-defense experiments,and the results illustrate accuracy and effectiveness of the method.…”
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Data recommendation algorithm of network security event based on knowledge graph by Xianwei ZHU, Wei LIU, Zihao LIU, Zeyu GU

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Research on LoRa network security schemes based on RF fingerprint by Yu JIANG, Siqing CHEN, Wen SUN

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Network security threat warning method based on qualitative differential game by Shirui HUANG, Hengwei ZHANG, Jindong WANG, Ruiyu DOU

Subjects: “…network security threat…”
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Network security equipment evaluation based on attack tree with risk fusion by Ran CHENG, Yue-ming LU

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Network security of the National Natural Science Foundation of China: today and prospects by Dong LI, Yanni HAO, Shenghui PENG, Ruijie ZI, Ximeng LIU

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Approach to making strategies for network security enhancement based on attack graphs by SI Jia-quan1, ZHANG Bing2, MAN Da-peng1, YANG Wu1

Subjects: “…network security…”
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Wireless Mesh network secure routing mechanism based on dynamic reputation by Hongyu YANG, Yue HAN

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Reduction algorithm based on supervised discriminant projection for network security data by Fangfang GUO, Hongwu LYU, Weilin REN, Ruini WANG

“…In response to the problem that for dimensionality reduction, traditional manifold learning algorithm did not consider the raw data category information, and the degree of clustering was generally at a low level, a manifold learning dimensionality reduction algorithm with supervised discriminant projection (SDP) was proposed to improve the dimensionality reduction effects of network security data.On the basis of the nearest neighbor matrix, the label information of the raw data category was exploited to construct a supervised discriminant matrix in order to translate unsupervised popular learning into supervised learning.The target was to find a low dimensional projective space with both maximum global divergence matrix and minimum local divergence matrix, ensuring that the same kind of data was concentrated and heterogeneous data was scattered after dimensionality reduction projection.The experimental results show that the SDP algorithm, compared with the traditional dimensionality reduction algorithms, can effectively remove redundant data with low time complexity.Meanwhile the data after dimensionality reduction is more concentrated, and the heterogeneous samples are more dispersed, suitable for the actual network security data analysis model.…”
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Research and practice of network security threat intelligence management system for power enterprise by Weixiong CHEN, Xiaochen YANG, Zengjun CHUN, Ruolan LI, Hua ZHANG

Subjects: “…network security…”
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Improving Network Security: An Intelligent IDS with RNN-LSTM and Grey Wolf Optimization by murtadha ali

“…The architecture of this RNN-LSTM with GWO IDS provides capable and responsive intrusion detection, training on previous data to be able to detect new threats. Made for network security by combining deep learning and optimization, tests reached 99.5% accurate. …”
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Evaluating the network security by the Read_Write transition model by LU Zhi-yong1, 2, FENG Chao1, YU Hui2

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Enhancing IoT Network Security Through Digital Object Architecture-Based Approaches by Mahmood Al-Bahri, Wasin Alkishri, Falah Y. H. Ahmed, Marwan Alshar'e, Sanad Al Maskari

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