2012 Proceedings of IEEE Southeastcon最新文献_第10页

DDoS and other anomalous web traffic behavior in selected countries 在选定国家/地区的DDoS和其他异常网络流量行为

2012 Proceedings of IEEE Southeastcon Pub Date : 2012-03-15 DOI: 10.1109/SECON.2012.6197004

K. B. Banks, J. Blackstone, S. Perry, W. Patterson, Patricio Gonzalez des Valle, S. Mujica, C. Aedo, A. Sánchez, J. P. M. Andrade, J. A. R. Stuardo

引用次数: 3

Comparison of routing and network coding in undirected network group communications 无向网络组通信中路由与网络编码的比较

2012 Proceedings of IEEE Southeastcon Pub Date : 2012-03-15 DOI: 10.1109/SECON.2012.6196916

Yangyang Xu, I. Butun, R. Sankar, N. Sapankevych, J. Crain

引用次数: 2

Conduction in metallic core/shell nanoclusters 金属核/壳纳米团簇中的传导

2012 Proceedings of IEEE Southeastcon Pub Date : 2012-03-15 DOI: 10.1109/SECON.2012.6196990

G. Moorthy, K. Daneshvar

引用次数: 0

Relevance feature selection with data cleaning for intrusion detection system 基于数据清洗的入侵检测系统关联特征选择

2012 Proceedings of IEEE Southeastcon Pub Date : 2012-03-15 DOI: 10.1109/SECON.2012.6196965

S. Suthaharan, T. Panchagnula

{"title":"Relevance feature selection with data cleaning for intrusion detection system","authors":"S. Suthaharan, T. Panchagnula","doi":"10.1109/SECON.2012.6196965","DOIUrl":"https://doi.org/10.1109/SECON.2012.6196965","url":null,"abstract":"Labeled datasets play a major role in the process of validating and evaluating machine learning techniques in intrusion detection systems. In order to obtain good accuracy in the evaluation, very large datasets should be considered. Intrusion traffic and normal traffic are in general dependent on a large number of network characteristics called features. However not all of these features contribute to the traffic characteristics. Therefore, eliminating the non-contributing features from the datasets, to facilitate speed and accuracy to the evaluation of machine learning techniques, becomes an important requirement. In this paper we suggest an approach which analyzes the intrusion datasets, evaluates the features for its relevance to a specific attack, determines the level of contribution of feature, and eliminates it from the dataset automatically. We adopt the Rough Set Theory (RST) based approach and select relevance features using multidimensional scatter-plot automatically. A pair-wise feature selection process is adopted to simplify. In our previous research we used KDD'99 dataset and validated the RST based approach. There are lots of redundant data entries in KDD'99 and thus the machine learning techniques are biased towards most occurring events. This property leads the algorithms to ignore less frequent events which can be more harmful than most occurring events. False positives are another important drawback in KDD'99 dataset. In this paper, we adopt NSL-KDD dataset (an improved version of KDD'99 dataset) and validate the automated RST based approach. The approach presented in this paper leads to a selection of most relevance features and we expect that the intrusion detection research using KDD'99-based datasets will benefit from the good understanding of network features and their influences to attacks.","PeriodicalId":187091,"journal":{"name":"2012 Proceedings of IEEE Southeastcon","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126684213","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: 32

Real time reduction of HVAC noise using a FPGA 利用FPGA实时降低暖通空调噪声

2012 Proceedings of IEEE Southeastcon Pub Date : 2012-03-15 DOI: 10.1109/SECON.2012.6196893

P. Kasbekar, A. Wisler, I. Panahi

引用次数: 2

Low cost semi-autonomous sentry robot 低成本半自动哨兵机器人

2012 Proceedings of IEEE Southeastcon Pub Date : 2012-03-15 DOI: 10.1109/SECON.2012.6196937

Sam Shue, C. Hargrove, J. Conrad

引用次数: 9

Adaptive neural network control system of path following for AUVs 水下机器人路径跟踪自适应神经网络控制系统

2012 Proceedings of IEEE Southeastcon Pub Date : 2012-03-15 DOI: 10.1109/SECON.2012.6196982

X. Bian, Jiajia Zhou, Zheping Yan, Heming Jia

{"title":"Adaptive neural network control system of path following for AUVs","authors":"X. Bian, Jiajia Zhou, Zheping Yan, Heming Jia","doi":"10.1109/SECON.2012.6196982","DOIUrl":"https://doi.org/10.1109/SECON.2012.6196982","url":null,"abstract":"The path following control problem of autonomous underwater vehicles is addressed in this paper. In order to deal with the parameter variations and uncertainties due to time-varying hydrodynamic damps, the radial basis function neural network (RBF NN) is introduced to estimate unknown terms where an adaptive law is chosen to guarantee optimal estimation of the weight of NN. Based on the Lyapunov stability theorem, an adaptive NN controller is designed to guarantee all the error states in the path following system are asymptotically stable. In order to deal with the estimation error and current disturbance, a virtual control input is introduced to ensure that the error system, including position error and heading error, can be converged to zero. On other hand, the arc with an appropriate radius is specified for each waypoint to guarantee a high accuracy when the vehicle maintains a nominal constant speed. Two path profiles, one with straight lines, and the other with straight-line and arcs were used to evaluate the performance of the path following controller. Simulation results demonstrated that the proposed controller was effective to eliminate the disturbances caused by vehicle's nonlinear and model uncertainty.","PeriodicalId":187091,"journal":{"name":"2012 Proceedings of IEEE Southeastcon","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129553861","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: 17

Reliability and effectiveness of cable types used in technical telecommunications systems 技术电信系统中使用的电缆类型的可靠性和有效性

2012 Proceedings of IEEE Southeastcon Pub Date : 2012-03-15 DOI: 10.1109/SECON.2012.6196960

I. Kateeb, M. S. Peluso, M. Bikdash, P. Chopade

引用次数: 2

Comparative study of high voltage IGBTs with enhanced conductivity modulation 增强电导率调制的高压igbt的比较研究

2012 Proceedings of IEEE Southeastcon Pub Date : 2012-03-15 DOI: 10.1109/SECON.2012.6196955

K. Padmanabhan, P. Shea, Z. Shen

引用次数: 0

A packet loss tolerant algorithm for information hiding in voice over IP IP语音信息隐藏的丢包容忍算法

2012 Proceedings of IEEE Southeastcon Pub Date : 2012-03-15 DOI: 10.1109/SECON.2012.6196945

H. Neal, H. ElAarag

引用次数: 5