2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery最新文献_第7页

LZpack: A Cluster File System Benchmark LZpack:集群文件系统基准测试

2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2010-10-10 DOI: 10.1109/CYBERC.2010.88

X. Li, Zhanhuai Li, Xiao Zhang, Lexiao Wang

引用次数: 1

Research of an Improved Weighted Centroid Localization Algorithm and Anchor Distribution 一种改进的加权质心定位算法及锚点分布研究

2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2010-10-10 DOI: 10.1109/CYBERC.2010.79

Qingru Kong, Xinyu Yang, Xiangjun Dai

引用次数: 3

Retrospective detection of malware attacks by cloud computing 基于云计算的恶意软件攻击回顾性检测

2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2010-10-10 DOI: 10.1504/IJITCC.2011.042126

Shun-Te Liu, Yi-Ming Chen

{"title":"Retrospective detection of malware attacks by cloud computing","authors":"Shun-Te Liu, Yi-Ming Chen","doi":"10.1504/IJITCC.2011.042126","DOIUrl":"https://doi.org/10.1504/IJITCC.2011.042126","url":null,"abstract":"As malware becomes pervasive and fast-evolving on the Internet, every computer linking to the outer world faces the risks of malware attacks. Therefore, it is important to not only detect malware as early as possible but also to determine which computer has been attacked. Among the various methods to find and trace the existence of malware, retrospective detection is promising one. Once a threat is identified, it allows one to determine exactly which host or users open similar files by searching historical information. In the past, the huge volume of historical information represents an insurmountable barrier to such traces. Fortunately, with the evolution of cloud computing technologies, this barrier can be broken. In this paper, we propose a new retrospective detection approach based on Portable Executable (PE) format file relationships. We implement our system in a Hadoop platform and use 18 real-world malware to do effective and efficient tests. Our results show that our system has a higher detection rate as well as a lower false positive rate than the famous Splunk tool. We also find that, although cloud computing is suitable for processing a small number of huge files, it has shortcomings in dealing with a large number of small files.","PeriodicalId":315132,"journal":{"name":"2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130542264","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: 27

Unordered Tree Matching and Strict Unordered Tree Matching: The Evaluation of Tree Pattern Queries 无序树匹配与严格无序树匹配:树模式查询的求值

2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2010-10-10 DOI: 10.1109/CYBERC.2010.17

Yangjun Chen, D. Cooke

引用次数: 3

A Study on Topology Model and Data Contribution Strategy of PPLive PPLive拓扑模型及数据贡献策略研究

2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2010-10-10 DOI: 10.1109/CYBERC.2010.61

Qing Ye, Changjia Chen

引用次数: 2

Entities Identification on the Deep Web Using Neural Network 基于神经网络的深度网络实体识别

2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2010-10-10 DOI: 10.1109/CYBERC.2010.93

Baohua Qiang, Chunming Wu, Long Zhang

引用次数: 4

Redundant Design of Parallel MLFMA Distributed Levels on a Cluster with Distributed Memory 分布式存储集群上并行MLFMA分布级的冗余设计

2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2010-10-10 DOI: 10.1109/CYBERC.2010.48

Yanbao Cui, W. Tong, Yue Hu, Liangliang Cai

引用次数: 0

Joint PAPR Reduction Method Base on ACE POCS and Peak Clipping 基于ACE POCS和峰值裁剪的联合PAPR降低方法

2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2010-10-10 DOI: 10.1109/CYBERC.2010.73

Qingwen Han, Xiaoping Zeng, Lingqiu Zeng, Tao Wang

引用次数: 6

Combination of Relative Neighborhood Graph and Forbidden Set in the Design of Distributed Broadcast Algorithms for Wireless Ad Hoc Networks 相对邻域图与禁止集在无线自组网分布式广播算法设计中的结合

2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2010-10-10 DOI: 10.1109/CYBERC.2010.26

Hwang-Cheng Wang, Jia-Bao Lin, Fang-Chang Kuo, Kuo-Chang Ting

{"title":"Combination of Relative Neighborhood Graph and Forbidden Set in the Design of Distributed Broadcast Algorithms for Wireless Ad Hoc Networks","authors":"Hwang-Cheng Wang, Jia-Bao Lin, Fang-Chang Kuo, Kuo-Chang Ting","doi":"10.1109/CYBERC.2010.26","DOIUrl":"https://doi.org/10.1109/CYBERC.2010.26","url":null,"abstract":"A wireless ad hoc network typically comprises of nodes with energy supplied by batteries. Hence, energy conservation is crucial to extending the lifetimes of individual nodes and the network as a whole. In topology control type of broadcast algorithms, the distance between neighbors is used to adjust the transmission power to reduce energy consumption. One such example is based on relative neighborhood graph (RNG). In RNG each node maintains a list of relative neighbors and the information is employed to construct a broadcast path. In this paper, distributed broadcast algorithms are proposed that incorporate the notion of forbidden set in RNG to improve the performance. The key idea of forbidden set is to prohibit nodes with low remaining battery capacity from serving as rebroadcast nodes. Via this selection criterion, we can avoid the disruption of the broadcast path due to energy depletion at nodes with low energy capacity, thereby achieving the goal of elongating the lifetime of the broadcast path. Further power saving can be achieved by getting rid of redundant rebroadcasts. The procedure is described with illustrations. In particular, the removal of such redundancy is dependent on the source node. Simulation results confirm the improvement furnished by the proposed algorithms.","PeriodicalId":315132,"journal":{"name":"2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124794217","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: 5

Decoding of the (47, 24, 11) Quadratic Residue Code with Hash Table 基于哈希表的(47,24,11)二次剩余码译码

2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2010-10-10 DOI: 10.1109/CYBERC.2010.101

Yan-Haw Chen, Sai Lui, C. Huang, C. Chien

引用次数: 0