CoNEXT '10 Student Workshop最新文献

Understanding the impact of internet exchange points on internet topology and routing performance 了解互联网交换点对互联网拓扑和路由性能的影响

CoNEXT '10 Student Workshop Pub Date : 2010-11-30 DOI: 10.1145/1921206.1921226

M. Ahmad, R. Guha

引用次数: 7

Robust traffic anomaly detection with principal component pursuit 基于主成分追踪的鲁棒交通异常检测

CoNEXT '10 Student Workshop Pub Date : 2010-11-30 DOI: 10.1145/1921206.1921217

A. Abdelkefi, Yuming Jiang, Wen Wang, Arne Øslebø, O. Kvittem

{"title":"Robust traffic anomaly detection with principal component pursuit","authors":"A. Abdelkefi, Yuming Jiang, Wen Wang, Arne Øslebø, O. Kvittem","doi":"10.1145/1921206.1921217","DOIUrl":"https://doi.org/10.1145/1921206.1921217","url":null,"abstract":"Principal component analysis (PCA) is a statistical technique that has been used for data analysis and dimensionality reduction. It was introduced as a network traffic anomaly detection technique firstly in [1]. Since then, a lot of research attention has been received, which results in an extensive analysis and several extensions. In [2], the sensitivity of PCA to its tuning parameters, such as the dimension of the low-rank subspace and the detection threshold, on traffic anomaly detection was indicated. However, no explanation on the underlying reasons of the problem was given in [2]. In [3], further investigation on the PCA sensitivity was conducted and it was found that the PCA sensitivity comes from the inability of PCA to detect temporal correlations. Based on this finding, an extension of PCA to Kalman-Loeve expansion (KLE) was proposed in [3]. While KLE shows slight improvement, it still exhibits similar sensitivity issue since a new tuning parameter called temporal correlation range was introduced. Recently, in [4], additional effort was paid to illustrate the PCA-poisoning problem. To underline this problem, an evading strategy called Boiled-Frog was proposed which adds a high fraction of outliers to the traffic. To defend against this, the authors employed a more robust version of PCA called PCA-GRID. While PCA-GRID shows performance improvement regarding the robustness to the outliers, it experiences a high sensitivity to the threshold estimate and the k-dimensional subspace that maximizes the dispersion of the data. The purpose of this work is to consider another technique to address the PCA poisoning problems to provide robust traffic anomaly detection: The Principal Component Pursuit.","PeriodicalId":325024,"journal":{"name":"CoNEXT '10 Student Workshop","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124130275","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: 28

Have your cake and eat it too!: enabling frequency diversity through opportunism 鱼与熊掌兼得!:通过机会主义实现频率分集

CoNEXT '10 Student Workshop Pub Date : 2010-11-30 DOI: 10.1145/1921206.1921224

Edmund L. Wong, Sangmin Lee

引用次数: 0

Towards hardware accelerated software routers 走向硬件加速软件路由器

CoNEXT '10 Student Workshop Pub Date : 2010-11-30 DOI: 10.1145/1921206.1921209

Nadi Sarrar, A. Feldmann, S. Uhlig, Rob Sherwood, Xin Huang

引用次数: 9

Prefetching Bloom filters to control flooding in content-centric networks 预取Bloom过滤器以控制以内容为中心的网络中的泛滥

CoNEXT '10 Student Workshop Pub Date : 2010-11-30 DOI: 10.1145/1921206.1921230

A. W. Kazi

引用次数: 8

NetQuery: a knowledge plane for reasoning about network properties NetQuery:用于网络属性推理的知识平面

CoNEXT '10 Student Workshop Pub Date : 2010-11-30 DOI: 10.1145/1921206.1921231

Alan Shieh, E. G. Sirer, F. Schneider

引用次数: 30

Multipath transport protocol for heterogeneous multi-homing networks 异构多归属网络的多路径传输协议

CoNEXT '10 Student Workshop Pub Date : 2010-11-30 DOI: 10.1145/1921206.1921212

YoungHa Hwang, B. O. Obele, Hyuk Lim

引用次数: 20

Inferring router statistics with IP timestamps 用IP时间戳推断路由器统计信息

CoNEXT '10 Student Workshop Pub Date : 2010-11-30 DOI: 10.1145/1921206.1921218

Andrew D. Ferguson, Rodrigo Fonseca

引用次数: 7

Towards characterization of wireless traffic in coexisting 802.11a/g and 802.11n network 802.11a/g和802.11n共存网络中无线业务特性研究

CoNEXT '10 Student Workshop Pub Date : 2010-11-30 DOI: 10.1145/1921206.1921208

H. Asai, K. Fukuda, H. Esaki

{"title":"Towards characterization of wireless traffic in coexisting 802.11a/g and 802.11n network","authors":"H. Asai, K. Fukuda, H. Esaki","doi":"10.1145/1921206.1921208","DOIUrl":"https://doi.org/10.1145/1921206.1921208","url":null,"abstract":"The number of wireless devices and the traffic volume generated by these devices become significant today, and many devices begin supporting 802.11n protocol for higher-speed wireless access. However, the diversification in link types of end-hosts may degrade system performance. For example, hosts using 802.11 protocols had better not be relay nodes in a P2P live streaming system because 802.11 is a half-duplex protocol and usually less stable compared to modern wired links. Hence, understanding traffic characteristics of various link types is essential for improving or building network architectures. Moreover, estimation of the link type of a remote host possibly achieves better performance (e.g., higher throughput) in some network systems. Baiamonte et al. [1] have proposed an algorithm to detect wireless hosts from passive measurement by using the entropy of packet interarrival time (PIT). Wei et al. [2] have also proposed an algorithm to classify access network types. However, these algorithms pay no attention to new link types such as 802.11n, 3G, and WiMAX even though each of them has different characteristics and possibly degrades the performance of network systems.","PeriodicalId":325024,"journal":{"name":"CoNEXT '10 Student Workshop","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114958386","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

Characterizing the file hosting service ecosystem 文件托管服务生态系统的特征

CoNEXT '10 Student Workshop Pub Date : 2010-11-30 DOI: 10.1145/1921206.1921210

Aniket Mahanti, Niklas Carlsson, C. Williamson

引用次数: 3