2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing最新文献

A Study on Improving the Abnormal Signal Detection Ability of Digital Storage Oscilloscope 提高数字存储示波器异常信号检测能力的研究

2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing Pub Date : 2013-12-21 DOI: 10.1109/DASC.2013.70

Jiang Jun, Ye Peng

引用次数: 6

Adaptive Airport Taxi Dispatch Algorithm Based on PCA-WNN 基于PCA-WNN的机场出租车自适应调度算法

2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing Pub Date : 2013-12-21 DOI: 10.1109/DASC.2013.86

Ke Zhang, Ke Zhang, S. Leng, Shuo Xu

引用次数: 3

Performance of LTE-A Uplink with Joint Reception and Inter-cell Interference Coordination 联合接收和小区间干扰协调下LTE-A上行链路性能研究

2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing Pub Date : 2013-12-21 DOI: 10.1109/DASC.2013.113

Yong Li, Zhangqin Huang

引用次数: 4

An Improved Algorithm for Dynamic Cognitive Extraction Based on Fuzzy Rough Set 一种基于模糊粗糙集的动态认知抽取改进算法

2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing Pub Date : 2013-12-21 DOI: 10.1109/DASC.2013.106

Haitao Jia, Mei Xie, Qian Tang, Wei Zhang

{"title":"An Improved Algorithm for Dynamic Cognitive Extraction Based on Fuzzy Rough Set","authors":"Haitao Jia, Mei Xie, Qian Tang, Wei Zhang","doi":"10.1109/DASC.2013.106","DOIUrl":"https://doi.org/10.1109/DASC.2013.106","url":null,"abstract":"Modern science is increasingly data-driven and collaborative in nature. Comparing to ordinary data processing, big data processing that is mixed with great missing date must be processed rapidly. The Rough Set was generated to deal with the large data.In this paper, we proposed animproved algorithm for dynamic Cognitive extractionwhich deals with adaptive fuzzy attribute values and the fuzzy attribute reduction aiming at uncertainty datasuch asdata with diversity or missing character faced by the big data with using Fuzzy Rough Set Theory.At the aspect of information decision, according to the Real-time input information, it deep analyzes the dynamic information entropy of the data itself and chooses the biggest prediction information entropy direction for the cognitive rules to achieve rapid recognitive of data, complete information of quick decision.Because the algorithm is adopted to predict the best direction of information entropy, so the recognitive effect is also improved. At the end of the paper, we have analyzed superiority of the dynamic cognitive algorithm by using breast cancer data as the foundation.","PeriodicalId":179557,"journal":{"name":"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing","volume":"24 23","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113955466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-core Supported High Performance Security Analytics 多核支持的高性能安全分析

2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing Pub Date : 2013-12-21 DOI: 10.1109/DASC.2013.136

Feng Cheng, Amir Azodi, David Jaeger, C. Meinel

{"title":"Multi-core Supported High Performance Security Analytics","authors":"Feng Cheng, Amir Azodi, David Jaeger, C. Meinel","doi":"10.1109/DASC.2013.136","DOIUrl":"https://doi.org/10.1109/DASC.2013.136","url":null,"abstract":"Such information as system and application logs as well as the output from the deployed security measures, e.g., IDS alerts, firewall logs, scanning reports, etc., is important for the administrators or security operators to be aware at first time of the running state of the system and take efforts if necessary. In this context, high performance security analytics is proposed to address the challenges to rapidly gather, manage, process, and analyze the large amount of real-time information generated from the large scale of enterprise IT-Infrastructure while it is being operated. As an example of next generation Security Information and Event Management (SIEM) platform, Security Analytics Lab (SAL) has been designed and implemented based on the newly emerged In-Memory data management technique, which makes it possible to efficiently organize and access different types of event information through a consistent central storage and interface. To correlate the information from different sources and identify the meaningful information is another challenging task, which makes great sense for quickly judging the current situation and making the decision. In this paper, the multi-core processing technique is introduced in the SAL platform. Various correlation algorithms, e.g., k-means based algorithms, ROCK and QROCK clustering algorithms, have been implemented and integrated in the multi-core supported SAL architecture. Practical experiments are conducted and analyzed to proof that the performance of analytics can be significantly improved by applying multi-core processing technique in SAL.","PeriodicalId":179557,"journal":{"name":"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132983880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Analyzing Packet-Level Routing in Data Centers 数据中心报文级路由分析

2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing Pub Date : 2013-12-21 DOI: 10.1109/DASC.2013.141

Ruoyan Liu, Huaxi Gu, Yawen Chen, Haibo Zhang

引用次数: 0

An Approach to Selecting Services with Dynamic Prices for Temporal-Aware Service Processes 面向时间感知服务过程的动态价格服务选择方法

2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing Pub Date : 2013-12-21 DOI: 10.1109/DASC.2013.47

Yanhua Du, Hong Li

引用次数: 1

Based on Improved ESPRIT Algorithm Radar Multi-target Recognition 基于改进ESPRIT算法的雷达多目标识别

2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing Pub Date : 2013-12-21 DOI: 10.1109/DASC.2013.99

Haitao Jia, Jian Li, Taoliu Yang, Wei Zhang

{"title":"Based on Improved ESPRIT Algorithm Radar Multi-target Recognition","authors":"Haitao Jia, Jian Li, Taoliu Yang, Wei Zhang","doi":"10.1109/DASC.2013.99","DOIUrl":"https://doi.org/10.1109/DASC.2013.99","url":null,"abstract":"At present, application of dense targets is one of the important means of penetration. In many observation conditions, the echoes from the dense targets mixed with many aliasing signals, and conventional radar signal processing algorithms do not take the aliasing signals into account. Therefore it is difficult for conventional algorithms to recognize multi-targets. In this paper, an improved ESPRIT algorithm is proposed which can recognize the multi-targets from the aliasing echoes and greatly reduce the computational complexity without changing the algorithm accuracy, especially can obtain a better estimation in the case of low SNR environment. The proposed algorithm can firstly quickly realize the estimate of scattering center parameters of target echoes, and then based on the estimation, the aliasing targets can be recognized. The Simulation also verifies the improved ESPRIT algorithm has a better identification and recognition capability of aliasing targets in low SNR condition. Moreover because of reduction of the computational complexity, the performance of proposed algorithm is faster than conventional methods, especially in the case of multiple aliasing scattering centers.","PeriodicalId":179557,"journal":{"name":"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116788571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Cost Advantage of Network Coding in Space for Irregular (5 + 1) Model 不规则(5 + 1)模型下空间网络编码的成本优势

2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing Pub Date : 2013-12-21 DOI: 10.1109/DASC.2013.140

Ting Wen, Xiaoxi Zhang, Xin Huang, Jiaqing Huang

引用次数: 1

Research on Big Data Architecture, Key Technologies and Its Measures 大数据架构、关键技术及措施研究

2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing Pub Date : 2013-12-21 DOI: 10.1109/DASC.2013.28

Xiaoquan Li, Fujiang Zhang, Yongliang Wang

引用次数: 10