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web log classification framework with data augmentation based on GANs

The Journal of China Universities of Posts and Telecommunications 2020年第5期27卷 34-46页

作者： He Mingshu Jin Lei Wang Xiaojuan Li Yuan School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China

Attacks on web servers are part of the most serious threats in network security *** logs of web attacks is an effective approach for malicious behavior ***,machine learning models based on labeled data are popular identification *** deep learning models are also recently introduced for analyzing logs based on web logs ***,it is limited to the amount of labeled data in model *** logs with labels which mark specific categories of data are difficult to ***,it is necessary to follow the problem about data generation with a focus on learning similar feature representations from the original data and improve the accuracy of classification *** this paper,a novel framework is proposed,which differs in two important aspects:one is that long short-term memory(LSTM)is incorporated into generative adversarial networks(GANs)to generate the logs of web *** other is that a data augment model is proposed by adding logs of web attack generated by GANs to the original dataset and improved the performance of the classification *** results experimentally demonstrate the effectiveness of the proposed *** improved the classification accuracy from 89.04%to 95.04%.

关键词： generative adversarial networks(GANs) web log data augmentation classification

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Discovering User Profiles for web Personalized Recommendation

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Journal of Computer Science & Technology 2004年第3期19卷 320-328页

作者： Ai-BoSong Mao-XianZhao Zuo-PengLiang Yi-ShengDong Jun-ZhouLuo DepartmentofComputerScienceandEngineering SoutheastUniversityNanjing210096P.R.China InformationSchool ShandongUniversityofScienceandTechnologyTaian271019P.R.China

With the growing popularity of the World Wide web, large volume of useraccess data has been gathered automatically by web servers and stored in web logs. Discovering andunderstanding user behavior patterns from log files can provide web personalized recommendationservices. In this paper, a novel clustering method is presented for log files called Clusteringlarge weblog based on Key Path Model (CWKPM), which is based on user browsing key path model, to getuser behavior profiles. Compared with the previous Boolean model, key path model considers themajor features of users'' accessing to the web: ordinal, contiguous and duplicate. Moreover, forclustering, it has fewer dimensions. The analysis and experiments show that CWKPM is an efficientand effective approach for clustering large and high-dimension web logs.

关键词： web log user profile personalization generalized suffix tree clustering

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An Effective Network Traffic Data Control Using Improved Apriori Rule Mining

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Circuits and Systems 2016年第10期7卷 3162-3173页

作者： Subbiyan Prakash Murugasamy Vijayakumar Department of Information Technology Sri Shakthi Institute of Engineering and Technology Coimbatore India Department of Computer Science and Engineering Nandha College of Technology Erode India

The increasing usage of internet requires a significant system for effective communication. To pro- vide an effective communication for the internet users, based on nature of their queries, shortest routing path is usually preferred for data forwarding. But when more number of data chooses the same path, in that case, bottleneck occurs in the traffic this leads to data loss or provides irrelevant data to the users. In this paper, a Rule Based System using Improved Apriori (RBS-IA) rule mining framework is proposed for effective monitoring of traffic occurrence over the network and control the network traffic. RBS-IA framework integrates both the traffic control and decision making system to enhance the usage of internet trendier. At first, the network traffic data are ana- lyzed and the incoming and outgoing data information is processed using apriori rule mining algorithm. After generating the set of rules, the network traffic condition is analyzed. Based on the traffic conditions, the decision rule framework is introduced which derives and assigns the set of suitable rules to the appropriate states of the network. The decision rule framework improves the effectiveness of network traffic control by updating the traffic condition states for identifying the relevant route path for packet data transmission. Experimental evaluation is conducted by extrac- ting the Dodgers loop sensor data set from UCI repository to detect the effectiveness of theproposed Rule Based System using Improved Apriori (RBS-IA) rule mining framework. Performance evaluation shows that the proposed RBS-IA rule mining framework provides significant improvement in managing the network traffic control scheme. RBS-IA rule mining framework is evaluated over the factors such as accuracy of the decision being obtained, interestingness measure and execution time.

关键词： Network Traffic Internet Traffic Condition Rule Mining Decision Rule Framework Interestingness Traffic Data web log

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Asynchronous and Synchronous Communication in College English Writing in web-based Learning Environment

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科技信息 2009年第1期 -页

作者：丁洁洛阳师范学院公共外语教研部河南洛阳471022

In web-based learning environment,College English writing has always been a thorny *** both asynchronous and synchronous communications in college English writing mean the new interactive teaching belief. This paper attempts to do the blending of two in the traditional writing learning and teaching in college English in order to promote a more flexible,efficient and interactive learning environment in accordance with students' interests and needs.

关键词： asynchronous and synchronous communication web-based learning E-mail key pal web log

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Personalized Learning System Based on Data Mining for Experimental Platforms

Personalized Learning System Based on Data Mining for Experi...

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2012 National Conference on Information Technology and Computer Science

作者： Zufeng Zhong School of Business,ZhanJiang Normal University,Zhanjiang,524048,China Hongyan Yang Chemistry science and technology school,ZhanJiang Normal University,Zhanjiang,524048,China

On the basis of adaptive learning and the results of data mining,a personalized learning system was designed and *** system on this algorithm has implemented the educative conception of teaching students in accordance with their *** platform in the traditional learning modules is joined into a personalized recommendation and the more modern individualized educational *** system can meet the learning demands of different students in any time.

关键词： personalized learning system data mining experimental platform of economics and management data source web log

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web日志序列模式挖掘工具SPMiner的设计

Web日志序列模式挖掘工具SPMiner的设计

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第十七届全国数据库学术会议

作者：赵畅杨冬青唐世渭郭迎春北京大学计算机科学技术系北京大学视觉与听觉信息处理国家重点实验室

1引言网站质量是决定其能否成功的关键因素。大部分网站的组织都基于假定的大多数访问者的浏览模式。错误的假定可能使网站结构不合理,给访问者的浏览带来不便。如果能利用相关技术获得大多数访问者实际的浏览模式,网站的所有者或管理... 详细信息

1引言网站质量是决定其能否成功的关键因素。大部分网站的组织都基于假定的大多数访问者的浏览模式。错误的假定可能使网站结构不合理,给访问者的浏览带来不便。如果能利用相关技术获得大多数访问者实际的浏览模式,网站的所有者或管理员就能据此对站点进行有效的组织或重组。

关键词： Data mining Sequential pattern web log

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基于网络舆情日志挖掘的政府公众信息行为研究

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图书馆学情报学 2014年第12期

作者：陆和建李祝启

以合肥市政府网站为案例，利用Awstats软件将数字化的日志文件转换成以访问量、点击量、浏览页面量、访问时间、访问来源路径等为代表的各种指标，利用SPSS软件对处理后的数据进行描述性以及推断性分析，利用单样本估计以及相关关系分... 详细信息

以合肥市政府网站为案例，利用Awstats软件将数字化的日志文件转换成以访问量、点击量、浏览页面量、访问时间、访问来源路径等为代表的各种指标，利用SPSS软件对处理后的数据进行描述性以及推断性分析，利用单样本估计以及相关关系分析等方法进行深入挖掘，根据相关分析结果对合肥市政府公众信息行为相关问题进行分析总结，并提出了对策建议。

关键词：网络舆情 web日志公众信息行为日志挖掘合肥市政府 Internet public opinion web log Public information behavior log mining Hefei government

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web Mining Model Based on Rough Set Theory

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Journal of Southeast University(English Edition) 2002年第1期18卷 54-58页

作者：吴冰赵林度东南大学经济管理学院南京210096

Due to a great deal of valuable information contained in the web log file, the result of web mining can be used to enhance the decision making for electronic commerce (EC) operation and management. Because of ambiguous and abundance of the web log file, the least decision making model based on rough set theory was presented for web mining. And an example was given to explain the model. The model can predigest the decision making table, so that the least solution of the table can be acquired. According to the least solution, the corresponding decision for individual service can be made in sequence. web mining based on rough set theory is also currently the original and particular method. 

关键词： web mining rough sets electronic commerce knowledge reasoning web log

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一种基于面向领域检索系统的用户兴趣获取方法

一种基于面向领域检索系统的用户兴趣获取方法

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第二十一届中国数据库学术会议

作者：孙静郭奇张志强冯建华清华大学计算机科学与技术系软件研究所

1引言Internet在其诞生后的三十多年里已经迅速膨胀为一个信息海洋。随着信息的爆炸性增长,用户想在web上搜索到自己想要得到的确切信息已经是越来越难。搜索引擎是目前广泛使用的一种Internet资源查询工具,但大量的返回结果往往需要用... 详细信息

1引言Internet在其诞生后的三十多年里已经迅速膨胀为一个信息海洋。随着信息的爆炸性增长,用户想在web上搜索到自己想要得到的确切信息已经是越来越难。搜索引擎是目前广泛使用的一种Internet资源查询工具,但大量的返回结果往往需要用户自己进行进一步的人工过滤。在这种形势下,用户的个性化服务应运而生。

关键词： Personalization User profile User interests Domain oriented web log

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