2006 International Conference on Advanced Computing and Communications最新文献_第4页

Detection of Reticulation Events - a Character Based Method 网状事件的检测——一种基于特征的方法

2006 International Conference on Advanced Computing and Communications Pub Date : 2006-12-01 DOI: 10.1109/ADCOM.2006.4289907

K. Navada, K. Sekaran

引用次数: 3

A Hybrid Group Rekey Architecture for Multicast Communication 一种用于多播通信的混合组密钥体系结构

2006 International Conference on Advanced Computing and Communications Pub Date : 2006-12-01 DOI: 10.1109/ADCOM.2006.4289881

B. Varthini, S. Valli

引用次数: 0

Active Probing Based End To End Internet Path Metrics Estimation Tool 基于主动探测的端到端互联网路径度量估计工具

2006 International Conference on Advanced Computing and Communications Pub Date : 2006-12-01 DOI: 10.1109/ADCOM.2006.4289924

V. Suryanarayana, K. Sekaran

引用次数: 0

High Capacity Lossless Secure Image Steganography using Wavelets 基于小波的高容量无损安全图像隐写

2006 International Conference on Advanced Computing and Communications Pub Date : 2006-12-01 DOI: 10.1109/ADCOM.2006.4289889

K. Raja, Vikas, K. Venugopal, L. Patnaik

引用次数: 37

A Multi-Agent system for Distributed Dynamic Load Balancing on Cluster 基于多agent的集群分布式动态负载均衡系统

2006 International Conference on Advanced Computing and Communications Pub Date : 2006-12-01 DOI: 10.1109/ADCOM.2006.4289870

N. Nehra, R. B. Patel, V. K. Bhat

引用次数: 8

Selective Microarchitecture-Level Scaling for Energy Savings 选择性微体系结构级别的节能扩展

2006 International Conference on Advanced Computing and Communications Pub Date : 2006-12-01 DOI: 10.1109/ADCOM.2006.4289960

M. Black, M. Franklin

引用次数: 0

Adaptive Local Cosine transform for Seismic Image Compression 自适应局部余弦变换用于地震图像压缩

2006 International Conference on Advanced Computing and Communications Pub Date : 2006-12-01 DOI: 10.1109/ADCOM.2006.4289894

A. P., Sumam David

引用次数: 8

Design and Implementation of a Process Scheduler Simulator and an Improved Process Scheduling Algorithm for Multimedia Operating Systems 多媒体操作系统进程调度模拟器的设计与实现及改进的进程调度算法

2006 International Conference on Advanced Computing and Communications Pub Date : 2006-12-01 DOI: 10.1109/ADCOM.2006.4289946

P. Saraswat, P. Gupta

{"title":"Design and Implementation of a Process Scheduler Simulator and an Improved Process Scheduling Algorithm for Multimedia Operating Systems","authors":"P. Saraswat, P. Gupta","doi":"10.1109/ADCOM.2006.4289946","DOIUrl":"https://doi.org/10.1109/ADCOM.2006.4289946","url":null,"abstract":"The design and evaluation results of a multimedia operating system scheduler simulator are described. The simulator focuses on evaluating the suitability of various Process scheduling algorithms for a Multimedia Operating System. The simulator has been designed such that various generic scheduling algorithms can be plugged into the existing code easily with a little knowledge about the various structures involved in the design. Five standard scheduling algorithms viz. Round Robin, First Come First Serve (FCFS), Multi Level Feedback (MLFS), Shortest Job First (SJF), and Earliest Deadline First (EDF) have been implemented with the simulator. A new process-scheduling algorithm is designed and implemented to improve the performance of an MMOS in case of mixed task traffic i.e. Multimedia and Non Multimedia (Batch Tasks). The simulated evaluation is done by taking 20 different mixed task traffic samples and running all aforementioned algorithms on them, and calculating various performance metrics. The proposed algorithm fares better on most of the evaluated performance metrics in comparison with aforementioned standard algorithms.","PeriodicalId":296627,"journal":{"name":"2006 International Conference on Advanced Computing and Communications","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127501315","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: 6

A Neuro-genetic ensemble Short Term Forecasting Framework for Anomaly Intrusion Prediction 异常入侵预测的神经遗传集成短期预测框架

2006 International Conference on Advanced Computing and Communications Pub Date : 2006-12-01 DOI: 10.1109/ADCOM.2006.4289880

S. Sindhu, S. Geetha, S.S. Sivanath, A. Kannan

{"title":"A Neuro-genetic ensemble Short Term Forecasting Framework for Anomaly Intrusion Prediction","authors":"S. Sindhu, S. Geetha, S.S. Sivanath, A. Kannan","doi":"10.1109/ADCOM.2006.4289880","DOIUrl":"https://doi.org/10.1109/ADCOM.2006.4289880","url":null,"abstract":"Information systems are one of the most rapidly changing and vulnerable systems, where security is a major issue. The number of security-breaking attempts originated inside the organizations is increasing steadily. Attacks made in this way, usually done by \"authorized\" users of the system, cannot be immediately traced. As the idea of filtering the traffic at the entrance door, by using firewalls and the like, is not completely successful, the use of intrusion detection systems should be considered to increase the defense capacity of an information system. This paper presents a framework for a statistical anomaly prediction system using a neuro-genetic forecasting model, which predicts unauthorized invasions of user, based on previous observations and takes further action before intrusion occurs. We propose an evolutionary time-series model for adaptive network intrusion forecasting where the ANN (Artificial Neural Network) is trained using genetic algorithm. The learning of the ANN is formulated as a weight optimization problem. The experimental results show that the combination strategy (neuro-genetic) can quicken the learning speed of the network and improve the predicting precision compared to the traditional ANN (Back Propagation Network). A comparative evaluation of the proposed neuro-genetic model with the traditional back-propagation, on audit data set provided by MIT Lincoln labs, has been presented and a better prediction accuracy has been observed.","PeriodicalId":296627,"journal":{"name":"2006 International Conference on Advanced Computing and Communications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131984356","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: 16

Web Document Clustering Using Document Index Graph 使用文档索引图的Web文档聚类

2006 International Conference on Advanced Computing and Communications Pub Date : 2006-12-01 DOI: 10.1109/ADCOM.2006.4289851

B. Momin, P. Kulkarni, A. Chaudhari

{"title":"Web Document Clustering Using Document Index Graph","authors":"B. Momin, P. Kulkarni, A. Chaudhari","doi":"10.1109/ADCOM.2006.4289851","DOIUrl":"https://doi.org/10.1109/ADCOM.2006.4289851","url":null,"abstract":"Document Clustering is an important tool for many Information Retrieval (IR) tasks. The huge increase in amount of information present on Web poses new challenges in clustering regarding to underlying data model and nature of clustering algorithm. Document clustering techniques mostly rely on single term analysis of document data set. To achieve more accurate document clustering, more informative feature such as phrases are important in this scenario. Hence first part of the paper presents phrase-based model, Document Index Graph (DIG), which allows incremental phrase-based encoding of documents and efficient phrase matching. It emphasizes on effectiveness of phrase-based similarity measure over traditional single term based similarities. In the second part, a Document Index Graph based Clustering (DIGBC) algorithm is proposed to enhance the DIG model for incremental and soft clustering. This algorithm incrementally clusters documents based on proposed cluster-document similarity measure. It allows assignment of a document to more than one cluster. The DIGBC algorithm is more efficient as compared to existing clustering algorithms such as single pass, K-NN and Hierarchical Agglomerative Clustering (HAC) algorithm.","PeriodicalId":296627,"journal":{"name":"2006 International Conference on Advanced Computing and Communications","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134498926","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: 24