2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications最新文献_第3页

Selecting the Best Set of Features for Efficient Intrusion Detection in 802.11 Networks 802.11网络中高效入侵检测的最佳特征选择

2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications Pub Date : 2008-04-07 DOI: 10.1109/ICTTA.2008.4530270

M. Guennoun, A. Lbekkouri, K. El-Khatib

{"title":"Selecting the Best Set of Features for Efficient Intrusion Detection in 802.11 Networks","authors":"M. Guennoun, A. Lbekkouri, K. El-Khatib","doi":"10.1109/ICTTA.2008.4530270","DOIUrl":"https://doi.org/10.1109/ICTTA.2008.4530270","url":null,"abstract":"Intrusion Detection Systems (IDS) are a major line of defense for protecting network resources from illegal penetrations. A common approach in intrusion detection models, specifically in anomaly detection models, is to use classifiers as detectors. Selecting the best set of features is very central to ensure the performance, speed of learning, accuracy, reliability of these detectors and to remove noise from the set of features used to construct the classifiers. In most current systems, the features used for training and testing the intrusion detection systems are basic information related to TCP/IP header, with no considerable attention to the features associated with lower level protocol frames. The resulting detectors were efficient and accurate in detecting network attacks at the network and transport layers, but unfortunately, not capable of detecting 802.11 specific attacks such as de-authentication attack or MAC layer DoS attacks. In this paper, we propose a hybrid model that efficiently selects the optimal set of features in order to detect 802.11 specific intrusions. Our model of feature selection uses the information gain ratio measure as a mean to compute the relevance of each feature and the k-means classifier to select the optimal set of MAC layer features that can improve the accuracy of intrusion detection systems while reducing the learning time of their learning algorithm.","PeriodicalId":330215,"journal":{"name":"2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122649159","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: 11

A GA Based Real-Time Resource Scheduling Algorithm 基于遗传算法的实时资源调度算法

2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications Pub Date : 2008-04-07 DOI: 10.1109/ICTTA.2008.4530199

Yiran Gao, C. Phillips, Liwen He

引用次数: 1

An Enhanced Genetic Algorithm Based Decoder for Linear Codes 基于改进遗传算法的线性码解码器

2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications Pub Date : 2008-04-07 DOI: 10.1109/ICTTA.2008.4530229

H. Berbia, Faissal El Bouanani, M. Belkasmi, R. Romadi

引用次数: 4

The Evolution of Small and Medium Enterprise in Digital Business Ecosystem; Accelerating The Evolution and The Need for Web 2.0 and Visualization 数字商业生态系统下中小企业的演进Web 2.0和可视化的加速发展和需求

2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications Pub Date : 2008-04-07 DOI: 10.1109/ICTTA.2008.4529983

M. Salam, A.L. Steenkamp, F. Khoury

引用次数: 7

Developing A Route Navigation System Using Genetic Algorithm 基于遗传算法的路线导航系统研究

2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications Pub Date : 2008-04-07 DOI: 10.1109/ICTTA.2008.4529965

Sanaa Al-halabi, Sokyna M. Al-Qatawneh, V. Samawi

{"title":"Developing A Route Navigation System Using Genetic Algorithm","authors":"Sanaa Al-halabi, Sokyna M. Al-Qatawneh, V. Samawi","doi":"10.1109/ICTTA.2008.4529965","DOIUrl":"https://doi.org/10.1109/ICTTA.2008.4529965","url":null,"abstract":"Rout planning system is one of the interesting problems for a car navigation system. There could be many possible routes for a driver when a set of origin-destination pair is given. This paper addresses the problem of selecting route to a given start and destination on an actual map under user defined environment (static environment). The proposed solution using genetic algorithm (GA) with variable length chromosomes, i.e. chromosomes size could be dynamic due to path length (number of cities between source and destination). The population size of routes is generated with respect to the chromosome size. Two selection methods are used and compared: tournament selection method and a new suggested selection method based on selecting the best next neighbor. Number of crossover points (1-point and 2- point partitions), and different mutation points (1- point and 2-point partitions) used and tested to study and evaluate the effect and the behavior of these operators on the rout navigation system. Experiments showed that using the suggested route navigation system is quite efficient in calculating an optimal route incase the chromosome length equals the total number of cities in the map (i.e. the database), while when the chromosome size is less than the total number of cities, semi-optimal route is found.","PeriodicalId":330215,"journal":{"name":"2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114457396","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: 11

Efficient Ternary Galois Field Circuit Design Through Carbon Nanotube Technology 利用碳纳米管技术设计高效三元伽罗瓦场电路

2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications Pub Date : 2008-04-07 DOI: 10.1109/ICTTA.2008.4530267

P. Keshavarzian, K. Navi, M. Rafsanjani

引用次数: 3

Simulation of a New Constraint Based Routing Algorithm for Multi-Protocol Label Switching Networks 一种新的基于约束的多协议标签交换网络路由算法仿真

2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications Pub Date : 2008-04-07 DOI: 10.1109/ICTTA.2008.4530216

M.Z. Al-Ani, F. Al-Naima, S. Amin

引用次数: 4

Electroencephalogram Fractral Dimension as a Measure of Depth of Anesthesia 测量麻醉深度的脑电图分形维数

2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications Pub Date : 2008-04-07 DOI: 10.1109/ICTTA.2008.4530055

E. Negahbani, R. Amirfattahi, B. Ahmadi

{"title":"Electroencephalogram Fractral Dimension as a Measure of Depth of Anesthesia","authors":"E. Negahbani, R. Amirfattahi, B. Ahmadi","doi":"10.1109/ICTTA.2008.4530055","DOIUrl":"https://doi.org/10.1109/ICTTA.2008.4530055","url":null,"abstract":"This paper proposes a combined method including adaptive segmentation and Higuchi fractal dimension (HFD) of electroencephalograms (EEG) to monitor depth of anesthesia (DOA). The EEG data was captured in both ICU and operating room and different anesthetic drugs, including propofol and isoflurane were used. Due to the non- stationary nature of EEG signal, adaptive segmentation methods seem to have better results. The HFD of a single channel EEG was computed through adaptive windowing methods consist of adaptive variance and auto correlation function (ACF) based methods. We have compared the results of fixed and adaptive windowing in different methods of calculating HFD in order to estimate DOA. Prediction probability (P^) was used as a measure of correlation between the predictors and BIS index to evaluate our proposed methods. The results show that HFD increases with increasing BIS index. In ICU, all of the methods reveal better performance than in other groups. In both ICU and operating room, the results indicate no obvious superiority in calculating HFD through adaptive segmentation.","PeriodicalId":330215,"journal":{"name":"2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122111470","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

Service composition based on facilitator federation 基于促进者联合的服务组合

2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications Pub Date : 2008-04-07 DOI: 10.1109/ICTTA.2008.4530299

O. Zein, Y. Kermarrec, Mohamed kawtharany, Eric Le Pors

引用次数: 0

Hardware Implementation for frequent episode discovery in event sequences 事件序列中频繁事件发现的硬件实现

2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications Pub Date : 2008-04-07 DOI: 10.1109/ICTTA.2008.4530370

M. Esmaeildoust, H. Mousavi, M. Abbaspour, A. Zakerolhosseini, M. Zamani

引用次数: 0