2014 International Conference on Recent Trends in Information Technology最新文献_第5页

Smart cloud robot using raspberry Pi 使用树莓派的智能云机器人

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996193

S. Prabha, A. Antony, M. Meena, S. Pandian

引用次数: 21

Securing online reputation systems through temporal, trust and user correlation analysis 通过时间、信任和用户相关性分析来保护在线声誉系统

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996203

M. Divya, P. Kumudha, N. Anithadevi

引用次数: 1

Opportunistic routing to mitigate attacks in MANET 机会路由以减轻MANET中的攻击

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996116

M. Elakkiya, S. Kaushik, Elizabeth. N Edna

{"title":"Opportunistic routing to mitigate attacks in MANET","authors":"M. Elakkiya, S. Kaushik, Elizabeth. N Edna","doi":"10.1109/ICRTIT.2014.6996116","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996116","url":null,"abstract":"Adhoc Networks (MANETs) are an emerging area of mobile computing. There are various challenges that are faced in adhoc environment. These are mostly due to the resource poorness of these networks. They are usually set up in situations of emergency, for temporary operations or simply if there are no resources to set up elaborate networks. Adhoc networks therefore throw up new requirements and problems in all areas of networking. The solutions for conventional networks are usually not sufficient to provide efficient Ad-hoc operations. The wireless nature of communication and lack of any security infrastructure raise several security problems. Commonly defined as the infrastructure less independent networks are prone to much vulnerability. These decentralized networks when employ conventional routing algorithms to forward data do not effectively transfer the packet to the right destination, as all these algorithms require a contemporary routing path between a source and destination node. Such prolonged link is not possible in a highly mobile network. The link between the nodes is only temporary and these links break down as the nodes move away from the direct communication range. Focusing on the secure routing against various attacks and the high probability of data delivery in an optimum manner, a Trust based opportunistic routing algorithm which is able to reliably route data despite highly unstable links is proposed in this paper. The trust model framed is incorporated in the basic routing algorithm, AODV. An attempt to explain various attack mitigation by the proposed trust model is also made.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115199240","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: 2

An efficient method for crowd event recognition based on motion patterns 一种基于运动模式的人群事件识别方法

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996124

C. Sindhuja, K. .. Srinivasagan, S. Kalaiselvi

{"title":"An efficient method for crowd event recognition based on motion patterns","authors":"C. Sindhuja, K. .. Srinivasagan, S. Kalaiselvi","doi":"10.1109/ICRTIT.2014.6996124","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996124","url":null,"abstract":"An automated visual monitoring process expands from low level analysis of object detection and tracking to the interpretation of their behaviors. Analyzing human crowd is an emerging trend in intelligent video surveillance for the purpose of detecting abnormalities. Tracking every human being in a crowd and analyzing their behavior is a challenging task due to occlusions. Hence, the crowd can be handled as a group entity instead of tracking the individual in the crowd. The behavior of the crowd can be distinguished with motion patterns due to prominent spatio-temporal characteristics. The proposed system involves a systematic approach to recognize the global events in human crowd through observing motion patterns such as flow, speed and direction. Initially as a preprocessing step, background subtraction is performed to extract the foreground blobs and optical flow is estimated to obtain the velocity and direction of motion. The human crowds are then clustered based on similar direction and proximity using Adjacency Matrix based Clustering (AMC). After clustering, the centroid and orientation of the cluster are extracted inorder to represent the behavior of crowd. Finally the multiclass Support Vector Machine (SVM) is trained to correctly recognize the behavior of crowd.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115916550","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

A combined random noise perturbation approach for multi level privacy preservation in data mining 数据挖掘中多级隐私保护的组合随机噪声摄动方法

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996194

S. Chidambaram, K. .. Srinivasagan

{"title":"A combined random noise perturbation approach for multi level privacy preservation in data mining","authors":"S. Chidambaram, K. .. Srinivasagan","doi":"10.1109/ICRTIT.2014.6996194","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996194","url":null,"abstract":"Now a Days huge volume of personal and sensitive data is collected and retrieved by various enterprises like social networking system, health networks, financial organizations and retailers. There are three main entities such as data owner; the database service provider and the client are mainly involved in this type of outsourced based data model. So that is more essential for the privacy preservation of the owner. Privacy preservation is a main challenging area in data mining. In that, Data based privacy perturbation technique is the standard model which performs the data transformation process before publishing the data. This paper proposes Additive Multiplicative Perturbation Privacy Preserving Data Mining (AM-PPDM) which is suitable for multiple trust level. In that, the random noise perturbation is applied to individual values before the data are published. This hybrid approach improves the privacy guarantee value during the reconstruction process. In AM-PPDM, the generated random Gaussian noise multiplied with the original data to produce different perturbed copies at various trust levels. By implementing this approach, the diversity attack is completely avoided during the reconstruction process.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123661881","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: 10

Weighted Category Matching Algorithm in Sensor Cloud for rapid retrieval 基于传感器云的快速检索加权分类匹配算法

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996148

S. Ramachandran, S. Grace, S. S. Beevi

引用次数: 2

Design and implementation of non-volatile memory express 非易失性存储器express的设计与实现

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996190

Sivashankar, S. Ramasamy

引用次数: 4

Trustworthy mechanisms for selecting cloud service providers 选择云服务提供商的可靠机制

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996182

B. L. Elizabeth, K. Ramya, A. Prakash, V. R. Uthariaraj

引用次数: 0

Reliable graph based routing in VANET environment VANET环境下基于图的可靠路由

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996153

R. Kirtiga, O. S. GnanaPrakasi, D. Kavipriya, R. Anita, P. Varalakshmi

{"title":"Reliable graph based routing in VANET environment","authors":"R. Kirtiga, O. S. GnanaPrakasi, D. Kavipriya, R. Anita, P. Varalakshmi","doi":"10.1109/ICRTIT.2014.6996153","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996153","url":null,"abstract":"Vehicular ad hoc networks are a subclass of wireless networks in which vehicles on the road act as nodes, exchanging traffic and road safety information. The traditional MANET specific routing protocols is not as effective in VANET environment. The occurrence of link breakage is very frequent in VANET when compared to MANET due to the swift movement of the vehicles. Hence, this highly dynamic behaviour of VANETs demands a reliable routing strategy. As of now, not much attention is laid on routing reliability of VANETs in highway environment. Our objective is to propose a reliable routing protocol that minimizes link breakage and thereby increasing the throughput in VANET- variable velocity environment. The mechanism is based on the mathematical model of normal (Gaussian) distribution, which is a continuous probability distribution function. This function is used to estimate the link reliability between the vehicular nodes in the road. Based on the computed link reliability values between the nodes, the system constructs an evolving graph in a dynamic fashion and the route reliability value is estimated from the graph. This route forms the Most Reliable Journey for the data transmission.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123599335","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: 12

The Protocol Independent Detection and Classification (PIDC) system for DRDoS attack 针对ddos攻击的协议独立检测与分类(PIDC)系统

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996154

P. Mohana Priya, V. Akilandeswari, S. Shalinie, V. Lavanya, M. Shanmuga Priya

{"title":"The Protocol Independent Detection and Classification (PIDC) system for DRDoS attack","authors":"P. Mohana Priya, V. Akilandeswari, S. Shalinie, V. Lavanya, M. Shanmuga Priya","doi":"10.1109/ICRTIT.2014.6996154","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996154","url":null,"abstract":"High-rate flooding attack detection and classification has become a necessary component for network administrators due to their attack range that affects the Data Center servers. The main objective of this paper is to propose the Protocol Independent Detection and Classification (PIDC) system in order to prevent the web servers from devastating attacks such as Distributed Reflection Denial of Service (DRDoS) attacks. The DRDoS flooding attack exploits fixed IP spoofing to defeat the Distributed Denial of Service (DDoS) attack prevention measures. This is the first paper to detect and classify the types of reflected attacks using SNMP MIB variables. The proposed PIDC system uses the data mining and machine learning techniques to detect all types of reflected flooding attacks. The rank correlation based detection algorithm retrieves the incoming traffic in the form of Simple Network Management Protocol -Management Information Base (SNMP-MIB) variables and finds the relationship between the MIB variables to detect the attacks from the normal traffic. Then, C4.5 classification algorithm extracts and frames association rule based on protocol information from reflected DDoS flooding attacks. Finally, the CPU, memory and disk resource distribution to legitimate requests are also increased. This method achieves 99% of true positive rates and less false positive rate of (1%) when compared to existing reflected attack detection methods. Moreover, these attacks are classified by types such as TCP reflection attacks and DNS reflection attacks with the highest probability of attack traffic.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128361215","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: 12