2011 Third International Conference on Advanced Computing最新文献_第5页

Network fault monitoring in Grid 网格中的网络故障监测

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165208

C. Valliyammai, S. Thamarai Selvi, M. Dinesh Kumar, C. Sakthivel, M. Sunil

{"title":"Network fault monitoring in Grid","authors":"C. Valliyammai, S. Thamarai Selvi, M. Dinesh Kumar, C. Sakthivel, M. Sunil","doi":"10.1109/ICOAC.2011.6165208","DOIUrl":"https://doi.org/10.1109/ICOAC.2011.6165208","url":null,"abstract":"Grid resources having heterogeneous architecture being geographically distributed and interconnected via unreliable network media are at the risk of failure which proves the need for an efficient fault monitoring framework. The traditional network fault monitoring systems based on the centralized client/server architecture have limited efficiency and scalability, as the complexity of the network increases, but the mobile agents with specific functions can be dispatched to network nodes and accomplish the assigned tasks. The mobile agent based model provides efficiency and flexibility in network fault monitoring, since dispatched agents avoid unnecessary traffic overheads due to frequent data transmissions between the compute nodes and the head node in a cluster and this model can be used in clusters of any size. The proposed system involves monitoring network related faults in a Grid environment. The network related faults covered in this system are link failure, network traffic overloads and resulting packet losses. Both the link failure and the packet loss due to congestions in the network, prevents the corresponding application from proceeding further which results in delay in job completion. Overload in network traffic which occurs due to congestions caused by packet flow exceeding the maximum network throughput will further result in packet losses and delays in network flow which increase the job completion time. Detecting these network failures can help in better utilization of the resources and timely notification to the user in a Grid environment.","PeriodicalId":369712,"journal":{"name":"2011 Third International Conference on Advanced Computing","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131479571","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: 0

Optimized feature selection with k-means clustered triangle SVM for Intrusion Detection 基于k-均值聚类三角支持向量机的入侵检测特征选择优化

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165213

R. Ashok, A. Lakshmi, G. D. V. Rani, Madarapu Naresh Kumar

{"title":"Optimized feature selection with k-means clustered triangle SVM for Intrusion Detection","authors":"R. Ashok, A. Lakshmi, G. D. V. Rani, Madarapu Naresh Kumar","doi":"10.1109/ICOAC.2011.6165213","DOIUrl":"https://doi.org/10.1109/ICOAC.2011.6165213","url":null,"abstract":"With the rapid progress in the network based applications, the threat of attackers and security threats has grown exponentially. Misleading of data shows many financial losses in all kind of network based environments. Day by day new vulnerabilities are detected in networking and computer products that lead to new emerging problems. One of the new prevention techniques for network threats is Intrusion Detection System (IDS). Feature selection is the major challenging issues in IDS in order to reduce the useless and redundant features among the attributes (e.g. attributes in KDD cup'99, an Intrusion Detection Data Set). In this paper, we aim to reduce feature vector space by calculating distance relation between features with Information Measure (IM) by evaluating the relation between feature and class to enhance the feature selection. Here we incorporate the Information Measure (IM) method with k-means Cluster Triangular Area Based Support Vector Machine (CTSVM) and SVM (Support Vector Machine) classifier to detect intrusion attacks. By dealing with both continuous and discrete attributes, our proposed method extracts best features with high Detection Rate (DR) and False Positive Rate (FPR).","PeriodicalId":369712,"journal":{"name":"2011 Third International Conference on Advanced Computing","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134349742","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: 9

Challenges and recent trends in personalized Web search: A survey 个性化网络搜索的挑战和最新趋势:一项调查

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165198

K. Selvakumar, S. Sendhilkumar

引用次数: 4

Keynote speaker I: Ubiquitous sensing 主讲人1:无处不在的传感

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165229

P. Balamuralidhar, Subrat Kar

{"title":"Keynote speaker I: Ubiquitous sensing","authors":"P. Balamuralidhar, Subrat Kar","doi":"10.1109/ICOAC.2011.6165229","DOIUrl":"https://doi.org/10.1109/ICOAC.2011.6165229","url":null,"abstract":"Ubiquitous sensing applications often involve the sensor based data collection with a large coverage in space in and time. From a return on investment perspective the value of information needs to be attractive with the cost of infrastructure to acquire it. The role of participative sensing and human centric sensing has been widely explored for collecting and analyzing data for use in social science, environmental and health applications. The wide availability of smart phones integrated with variety of sensors is becoming platform for people to document a neighborhood, gather evidence, study behaviors and is accelerating the pace of exploration in new application areas. Many of the current applications involve the monitoring of public spaces involving the participation of citizen in general. Participative surveillance is an application that can bring substantial social benefit. There are many challenges in effectively deploying such applications. It includes the privacy issues, trustworthiness of the data, human factors that affect the quality of sensing, variability of devices, enrolling and motivating participants, and a sustainable business model. Further it should be supported with a sound framework for deployment where the participant has control over data, transparency in data handling and intuitive user interface supporting multi-modal interactions. This presentation will discuss the above aspects with a few illustrative use case scenarios.","PeriodicalId":369712,"journal":{"name":"2011 Third International Conference on Advanced Computing","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114042597","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: 0

Designing multicore ECU architecture in vehicle networks using AUTOSAR 基于AUTOSAR的汽车网络多核ECU架构设计

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165187

K. Senthilkumar, R. Ramadoss

{"title":"Designing multicore ECU architecture in vehicle networks using AUTOSAR","authors":"K. Senthilkumar, R. Ramadoss","doi":"10.1109/ICOAC.2011.6165187","DOIUrl":"https://doi.org/10.1109/ICOAC.2011.6165187","url":null,"abstract":"The number of electronic control units (ECUs) in modern vehicles has continuously increased in last few decades. In addition, advanced functionalities antilock braking systems, adaptive cruise control and climate control put higher computational demand on ECUs, which further increases the design complexity of automotive control systems. Multicore processors having multiple processing units are integrated on a single chip, have emerged to be the main computing controllers not only for high-end servers but also for embedded control systems. Using multicore processors, more centralized architecture designs can be adopted for automotive control systems. The recent initiative on AUTOmotive Open System ARchitecture (AUTOSAR) has established several standards for automotive software and hardware designs, which include guidelines for designing centralized architecture with multicore ECUs for automotive control systems. With AUTOSAR, it is expected that computational control tasks of different functions can share one ECU or run on any ECU connected with in-vehicle network like CAN and FlexRay. Also, In this paper, we describe some key analytical components that together characterize the hierarchical bus structures composed of FlexRay, CANbus and LINbus. Our analysis shows that the practical constraints imposed by standards such as AUTOSAR can lead to higher levels of schedulable resource utilization. This reduces both the overall component count and cost, while facilitating easy enhancements.","PeriodicalId":369712,"journal":{"name":"2011 Third International Conference on Advanced Computing","volume":"488 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123561259","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: 15

Design and analysis of multimedia communication system 多媒体通信系统的设计与分析

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165174

P. Telagarapu, B. Biswal, Vijaya Santhi Guntuku

引用次数: 2

Cluster-based mobility management for target tracking in mobile sensor networks 基于集群的移动传感器网络目标跟踪管理

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165175

Prabhavathi M, Rajeshwari R

引用次数: 4

A MAHO based prioritized handoff queueing scheme in cellular networks 蜂窝网络中基于MAHO的优先切换排队方案

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165184

V. Goswami, P. K. Swain

引用次数: 3

A zero-knowledge authentication for Wireless Sensor Networks based on congruence 基于同余的无线传感器网络零知识认证

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165155

B. Vijayalakshmi

{"title":"A zero-knowledge authentication for Wireless Sensor Networks based on congruence","authors":"B. Vijayalakshmi","doi":"10.1109/ICOAC.2011.6165155","DOIUrl":"https://doi.org/10.1109/ICOAC.2011.6165155","url":null,"abstract":"The three critical resources in any cluster based Wireless Sensor Networks (WSN) are Sensor Nodes (SN), Cluster Head (CH) and Base Station (BS). The main job of Cluster Head is to send all the aggregated data collected from multiple sensor Nodes to the Base Station. But before sending the data, the Cluster Head must be perfectly sure about the actual identity of Base Station. If any intruder acts as Base Station and receives the aggregated data the entire security of the network is spoiled. To avoid this, the authenticity of the base station needs to be checked by cluster head before sending any data. Many asymmetric authentication techniques like digital signatures are difficult to implement in resource constraint sensor Nodes. A zero-knowledge proof protocol is a powerful cryptographic system that can be applied in many cryptographic applications and operations such as identification, authentication, key exchange and others, but many of the existing zero knowledge proof of identity involves exponential calculations which are not suitable for WSN. To overcome the limitations of the existing techniques, the proposed protocol provides Zero knowledge proof identity using congruence equations. Here, Triplet simultaneous linear congruence equations are used to subdivide a whole secret into three shares. A part of a secret is used as identity of the base station and stored in it. The Base Station won't reveal the part of secret stored in it to the Cluster Head but the Cluster Head confirms the true identity without getting the actual secret from Base Station. In this scheme, the Cluster Heads need to solve only congruence equations which need only limited computation and memory. When the proposed protocol is compared with existing protocols it shows that it provide instant authentication, with minimum memory utilization and withstand many attacks.","PeriodicalId":369712,"journal":{"name":"2011 Third International Conference on Advanced Computing","volume":"88 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126309000","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

Learner centered Adaptive and Intelligent E-Portfolio Architecture for Learning (AIEPAL) 以学习者为中心的自适应智能学习电子投资组合架构(AIEPAL)

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165158

D. E. Dekson, E. Suresh

引用次数: 3