2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery最新文献_第6页

Electric Power Data Acquisition System Based on Multi-thread Mechanism 基于多线程机制的电力数据采集系统

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CyberC.2013.53

Yu Peng, F. Meng, Dianhui Chu

引用次数: 2

A Virtualized Hybrid Distributed File System 虚拟化混合分布式文件系统

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CyberC.2013.39

Xingyu Zhou, Liangyu He

{"title":"A Virtualized Hybrid Distributed File System","authors":"Xingyu Zhou, Liangyu He","doi":"10.1109/CyberC.2013.39","DOIUrl":"https://doi.org/10.1109/CyberC.2013.39","url":null,"abstract":"We have designed a virtualized hybrid distributed file system for large scale data storage. It ensembles the characteristic of fault tolerance based on inexpensive commodity hardware inherited from the classic Google File System but also integrates the advantage of the P2P network. While sharing many of the same goals as previous distributed file systems, this new system design aims to reduce the scale and previously necessary space, bandwidth and energy consumptions of the data center and reduces the cost of running a large-scale distributed file system. Traditionally, only local or inner-enterprise servers are used for constructing cloud-computing network for a certain enterprise. This new design tries to induce a new method of integrating leisure hard-disk space, bandwidth and CPU capacity of from external sources. With a distributed data storage network and an inner-enterprise server system as a central controller, large clusters of data can be managed in a classic C/S like way and data can be transmitted like the P2P network. To ensure security, more stratified virtualization is required to ensure the isolation between realistic file owner and storage space provider. Workload estimations have been conducted to test the efficiency of time and space in this design.","PeriodicalId":133756,"journal":{"name":"2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134381763","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: 3

Diagnosis Rule Mining of Airborne Avionics Using Formal Concept Analysis 基于形式概念分析的机载航空电子设备诊断规则挖掘

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CYBERC.2013.51

Wen Ying, Xiao Mingqing

引用次数: 1

An Energy-Efficient Asynchronous MAC for Bulk-Data Collection in Wireless Sensor Networks 一种用于无线传感器网络大容量数据采集的节能异步MAC

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CyberC.2013.61

Fulong Jiang, Hao Liu

引用次数: 0

Authorship Attribution of Short Historical Arabic Texts Based on Lexical Features 基于词汇特征的阿拉伯语历史短文本作者归属

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CyberC.2013.31

Siham Ouamour-Sayoud, H. Sayoud

引用次数: 30

DAG Based Feature Additive XML Schema Generation for Unstructured Text 基于DAG的非结构化文本特征加性XML模式生成

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CyberC.2013.27

K. Rajbabu, S. Selvaraj

引用次数: 3

Backup Path with Energy Prediction Based on Energy-Aware Spanning Tree in Wireless Sensor Networks 基于能量感知生成树的无线传感器网络能量预测备份路径

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CyberC.2013.73

Yao Lu, Jianping Chen, I. Comsa, P. Kuonen

引用次数: 3

MatBall: Matrix-Based File Allocation Method for Hybrid File System 基于矩阵的混合文件系统文件分配方法

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CyberC.2013.76

Jaechun No, Sung-Soon Park

{"title":"MatBall: Matrix-Based File Allocation Method for Hybrid File System","authors":"Jaechun No, Sung-Soon Park","doi":"10.1109/CyberC.2013.76","DOIUrl":"https://doi.org/10.1109/CyberC.2013.76","url":null,"abstract":"One way of improving I/O performance is to provide a hybrid file system where the entire address space is provided by combining a small portion of SSD (Solid-State Device) partition with a much larger HDD storage capacity. Since the address space to be offered by SSD partition is very small, utilizing SSD storage resources is the critical aspect in improving I/O performance of the hybrid file system. We present a matrix-based file allocation scheme, called Mat Ball (Matrix-Based file allocation), whose objective is to increase space utilization of SSD partition in the hybrid file system by reducing fragmentation overhead. In Mat Ball, to consume the remaining spaces as much as possible posterior to file allocations, I/O units (extents) of the hybrid file system are recursively partitioned into segments in the subsequent level and further file allocations are performed in units of the partitioned segments. Since Mat Ball defines easy-to-compute segment sizes and block positions in I/O units, allocating more files in the remaining spaces can be performed with a little overhead. The performance measurement with IOzone shows that the hybrid file system using Mat Ball enables to produce higher bandwidth over ext2 installed on HDD and SSD.","PeriodicalId":133756,"journal":{"name":"2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128849866","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

Intelligent Checkers to Improve Attack Detection in Cyber Physical Systems 改进网络物理系统攻击检测的智能检查器

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CyberC.2013.14

Giedre Sabaliauskaite, A. Mathur

引用次数: 16

A Scalable Implementation of Malware Detection Based on Network Connection Behaviors 基于网络连接行为的恶意软件检测的可扩展实现

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CyberC.2013.19

Liang Shi, Jialan Que, Zhenyu Zhong, Brett Meyer, Patrick Crenshaw, Yuanchen He

{"title":"A Scalable Implementation of Malware Detection Based on Network Connection Behaviors","authors":"Liang Shi, Jialan Que, Zhenyu Zhong, Brett Meyer, Patrick Crenshaw, Yuanchen He","doi":"10.1109/CyberC.2013.19","DOIUrl":"https://doi.org/10.1109/CyberC.2013.19","url":null,"abstract":"When hundreds of thousands of applications need to be analyzed within a short period of time, existing static and dynamic malware detection methods may become less desirable because they could quickly exhaust system and human resources. Additionally, many behavioral malware detection methods may not be practical because they require the collection of applications' system-level and network-level activities, which may not always be available. In this paper, we propose a malware behavioral clustering approach to detect malware variants based on applications' simple network connection data, which can be easily collected from anti-virus (AV) products. This approach is highly scalable and has been used on huge volumes of real-world data. Our experiments demonstrate that, at a false positive rate lower than 0.001%, the proposed method achieved a detection rate of 80%+ in identifying spambots and achieved a 50%+ detection rate on average when detecting 3 popular malware families. In addition, the proposed method was deployed in a real environment and it detected malware instances more than one week earlier on average than two other leading AV products.","PeriodicalId":133756,"journal":{"name":"2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"341 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122992759","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: 4