9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing最新文献_第7页

A study on evolution of email spam over fifteen years 15年来垃圾邮件演变的研究

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-11-12 DOI: 10.4108/cc.1.1.e3

De Wang, Danesh Irani, C. Pu

引用次数: 43

Internet of Things Forensics: Challenges and approaches 物联网取证:挑战和方法

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-11-12 DOI: 10.4108/ICST.COLLABORATECOM.2013.254159

Edewede Oriwoh, D. Jazani, G. Epiphaniou, P. Sant

引用次数: 159

Building multi-model collaboration in detecting multimedia semantic concepts (invited paper) 构建多媒体语义概念检测中的多模型协作(特邀论文)

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-11-12 DOI: 10.4108/ICST.COLLABORATECOM.2013.254110

Hsin-Yu Ha, Fausto Fleites, Shu‐Ching Chen

{"title":"Building multi-model collaboration in detecting multimedia semantic concepts (invited paper)","authors":"Hsin-Yu Ha, Fausto Fleites, Shu‐Ching Chen","doi":"10.4108/ICST.COLLABORATECOM.2013.254110","DOIUrl":"https://doi.org/10.4108/ICST.COLLABORATECOM.2013.254110","url":null,"abstract":"The booming multimedia technology is incurring a thriving multi-media data propagation. As multimedia data have become more essential, taking over a major potion of the content processed by many applications, it is important to leverage data mining methods to associate the low-level features extracted from multimedia data to high-level semantic concepts. In order to bridge the semantic gap, researchers have investigated the correlation among multiple modalities involved in multimedia data to effectively detect semantic concepts. It has been shown that multimodal fusion plays an important role in elevating the performance of both multimedia content-based retrieval and semantic concepts detection. In this paper, we propose a novel cluster-based ARC fusion method to thoroughly explore the correlation among multiple modalities and classification models. After combining features from multiple modalities, each classification model is built on one feature cluster, which is generated from our previous work FCC-MMF. The correlation between medoid of a feature cluster and a semantic concept is introduced to identify the capability of a classification model. It is further applied with the logistic regression method to refine ARC fusion method proposed in our previous work for semantic concept detection. Several experiments are conducted to compare the proposed method with other related works and the proposed method has outperform other works with higher Mean Average Precision (MAP).","PeriodicalId":222111,"journal":{"name":"9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126782743","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 collaborative approach for metadata management for Internet of Things: Linking micro tasks with physical objects 物联网元数据管理的协作方法:将微任务与物理对象连接起来

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-11-12 DOI: 10.4108/ICST.COLLABORATECOM.2013.254174

U. Hassan, Murilo Bassora, A. Vahid, Seán O'Riain, E. Curry

引用次数: 13

A social trust based friend recommender for online communities “invited paper” 基于社会信任的网络社区好友推荐“受邀论文”

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-11-12 DOI: 10.4108/ICST.COLLABORATECOM.2013.254213

S. Nepal, Cécile Paris, Payam Aghaei Pour, S. Bista, J. Freyne

{"title":"A social trust based friend recommender for online communities “invited paper”","authors":"S. Nepal, Cécile Paris, Payam Aghaei Pour, S. Bista, J. Freyne","doi":"10.4108/ICST.COLLABORATECOM.2013.254213","DOIUrl":"https://doi.org/10.4108/ICST.COLLABORATECOM.2013.254213","url":null,"abstract":"Recommendations to connect like-minded people can result in increased engagement amongst members of online communities, thus playing an important role in their sustainability. We have developed a suite of algorithms for friend recommendations using a social trust model called STrust. In STrust, the social trust of individual members is derived from their behaviours in the community. The unique features of our friend recommendation algorithms are that they capture different behaviours by (a) distinguishing between passive and active behaviours, (b) classifying behaviours as contributing to users' popularity or engagement and (c) considering different member activities in a variety of contexts. In this paper, we present our social trust based recommendation algorithms and evaluate them against algorithms based on the social graph (such as Friends-Of-A-Friend). We use data collected from the online CSIRO Total Wellbeing Diet portal which has been trialled by over 5,000 Australians over a 12 week period. Our results show that social trust based recommendation algorithms outperform social graph based algorithms.","PeriodicalId":222111,"journal":{"name":"9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129292001","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: 18

Privacy aware service selection of composite web services invited paper 复合web服务的隐私感知服务选择

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-11-12 DOI: 10.4108/ICST.COLLABORATECOM.2013.254264

A. Squicciarini, B. Carminati, Sushama Karumanchi

{"title":"Privacy aware service selection of composite web services invited paper","authors":"A. Squicciarini, B. Carminati, Sushama Karumanchi","doi":"10.4108/ICST.COLLABORATECOM.2013.254264","DOIUrl":"https://doi.org/10.4108/ICST.COLLABORATECOM.2013.254264","url":null,"abstract":"Web service selection involves finding services from a possibly huge database of similar services. Hence, the challenges involved in finding a suitable service include large time consumption, and difficulty of finding a perfect match according to the user specified search keywords. In addition, significant privacy and security concerns arise, as the information involved with service selection and provisioning may be sensitive for both providers and users. In this paper, we propose a comprehensive framework to uniformly protect users and service providers at the time of service selection. We define a solution that (a) supports private service selection, such that both criteria and service attributes are kept private during the matching and (b) includes an approach to protect service provisioning rules from unwanted disclosure, both from the user and the service provider's perspective. We implemented our solution and integrated with the current Web service standard technologies. We conducted an extensive experimental evaluation, using datasets of actual WSDL documents. Our experimental evaluation and complexity analysis demonstrate that our algorithms are both effective and efficient.","PeriodicalId":222111,"journal":{"name":"9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132060380","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

Efficient opportunistic sensing using mobile collaborative platform MOSDEN 使用移动协作平台MOSDEN的高效机会感测

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-10-15 DOI: 10.4108/ICST.COLLABORATECOM.2013.254090

P. Jayaraman, Charith Perera, Dimitrios Georgakopoulos, A. Zaslavsky

{"title":"Efficient opportunistic sensing using mobile collaborative platform MOSDEN","authors":"P. Jayaraman, Charith Perera, Dimitrios Georgakopoulos, A. Zaslavsky","doi":"10.4108/ICST.COLLABORATECOM.2013.254090","DOIUrl":"https://doi.org/10.4108/ICST.COLLABORATECOM.2013.254090","url":null,"abstract":"Mobile devices are rapidly becoming the primary computing device in people's lives. Application delivery platforms like Google Play, Apple App Store have transformed mobile phones into intelligent computing devices by the means of applications that can be downloaded and installed instantly. Many of these applications take advantage of the plethora of sensors installed on the mobile device to deliver enhanced user experience. The sensors on the smartphone provide the opportunity to develop innovative mobile opportunistic sensing applications in many sectors including healthcare, environmental monitoring and transportation. In this paper, we present a collaborative mobile sensing framework namely Mobile Sensor Data EngiNe (MOSDEN) that can operate on smartphones capturing and sharing sensed data between multiple distributed applications and users. MOSDEN follows a component-based design philosophy promoting reuse for easy and quick opportunistic sensing application deployments. MOSDEN separates the application-specific processing from the sensing, storing and sharing. MOSDEN is scalable and requires minimal development effort from the application developer. We have implemented our framework on Android-based mobile platforms and evaluate its performance to validate the feasibility and efficiency of MOSDEN to operate collaboratively in mobile opportunistic sensing applications. Experimental outcomes and lessons learnt conclude the paper.","PeriodicalId":222111,"journal":{"name":"9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131447803","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: 68

Computation integrity in mobile cloud: Running probabilistically checkable proof on Android 移动云计算完整性:在Android上运行概率可校验证明

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-10-01 DOI: 10.4108/ICST.COLLABORATECOM.2013.254081

Clinton Walker, Qijun Gu, Terry Penner

引用次数: 1

Collaborative approach for inter-domain botnet detection in large-scale networks 大规模网络域间僵尸网络检测的协同方法

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-10-01 DOI: 10.4108/ICST.COLLABORATECOM.2013.254051

Hachem Guerid, Karel Mittig, A. Serhrouchni

引用次数: 5

Data-based access control in named data networking 命名数据网络中基于数据的访问控制

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-10-01 DOI: 10.4108/ICST.COLLABORATECOM.2013.254180

Balkis Hamdane, M. Msahli, A. Serhrouchni, S. Fatmi

引用次数: 14