9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing最新文献_第5页

Organizations preparing organizations for the IoT: The congruence of the IoT meme 为物联网做准备的组织:物联网模因的一致性

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-12-12 DOI: 10.4108/ICST.COLLABORATECOM.2013.254140

Kelly T. Slaughter, G. Baweja

引用次数: 0

Non-intrusive process-based monitoring system to mitigate and prevent VM vulnerability explorations 非侵入式的基于进程的监控系统，以减轻和防止VM漏洞的探索

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-12-12 DOI: 10.4108/ICST.COLLABORATECOM.2013.254107

Chun-Jen Chung, Jingsong Cui, Pankaj Khatkar, Dijiang Huang

{"title":"Non-intrusive process-based monitoring system to mitigate and prevent VM vulnerability explorations","authors":"Chun-Jen Chung, Jingsong Cui, Pankaj Khatkar, Dijiang Huang","doi":"10.4108/ICST.COLLABORATECOM.2013.254107","DOIUrl":"https://doi.org/10.4108/ICST.COLLABORATECOM.2013.254107","url":null,"abstract":"Cloud is gaining momentum but its true potential is hampered by the security concerns it has raised. Having vulnerable virtual machines in a virtualized environment is one such concern. Vulnerable virtual machines are an easy target and existence of such weak nodes in a network jeopardizes its entire security structure. Resource sharing nature of cloud favors the attacker, in that, compromised machines can be used to launch further devastating attacks. First line of defense in such case is to prevent vulnerabilities of a cloud network from being compromised and if not, to prevent propagation of the attack. To create this line of defense, we propose a hybrid intrusion detection framework to detect vulnerabilities, attacks, and their carriers, i.e. malicious processes in the virtual network and virtual machines. This framework is built on attack graph based analytical models, VMM-based malicious process detection, and reconfigurable virtual network-based countermeasures. The proposed framework leverages Software Defined Networking to build a monitor and control plane over distributed programmable virtual switches in order to significantly improve the attack detection and mitigate the attack consequences. The system and security evaluations demonstrate the efficiency and effectiveness of the proposed solution.","PeriodicalId":222111,"journal":{"name":"9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"26 16","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133170318","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: 14

MapReduce-guided scalable compressed dictionary construction for evolving repetitive sequence streams mapreduce引导的可扩展压缩字典构建，用于不断发展的重复序列流

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-12-12 DOI: 10.4108/ICST.COLLABORATECOM.2013.254135

P. Parveen, Pratik Desai, B. Thuraisingham, L. Khan

引用次数: 1

Social team awareness 社会团队意识

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-12-12 DOI: 10.4108/ICST.COLLABORATECOM.2013.254087

Delfina Malandrino, I. Manno, A. Negro, Andrea Petta, V. Scarano, Luigi Serra

{"title":"Social team awareness","authors":"Delfina Malandrino, I. Manno, A. Negro, Andrea Petta, V. Scarano, Luigi Serra","doi":"10.4108/ICST.COLLABORATECOM.2013.254087","DOIUrl":"https://doi.org/10.4108/ICST.COLLABORATECOM.2013.254087","url":null,"abstract":"Software that is meant to support collaboration is mostly developed “ad hoc”, placing some additional overhead to users, that are required to integrate the common work practices, realized with the traditional software applications, with the new collaborative features offered by the new application. It has been argued that this is likely to inject lack of motivation on users, jeopardizing the positive effects of collaboration in workplace, since the time dedicated to collaboration is perceived as wasted. In this paper we present a generic mechanism to provide team awareness through the integration between a social platform and a work environment. The integration mechanism is, indeed, generic and the work environment potentially can be any kind of application usually adopted by team members. We illustrate the mechanism through the design and implementation of SocSVN, a proof-of-concept example in the scenario of collaboration support in software development. SocSVN integrates a social platform (Elgg, a well known open source social networking engine) with SVN, a source code versioning system widely used in software development. We also abstract the mechanism provided and show how it is easily generalizable to other software, providing a list of the requirements and the amount of work to be integrated in the architecture.","PeriodicalId":222111,"journal":{"name":"9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132465825","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

Modeling privacy settings of an online social network from a game-theoretical perspective 基于博弈论的在线社交网络隐私设置建模

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-12-12 DOI: 10.4108/ICST.COLLABORATECOM.2013.254054

Jundong Chen, Matthias R. Brust, Ankunda R. Kiremire, V. Phoha

引用次数: 18

A capability requirements approach for predicting worker performance in crowdsourcing 预测众包中员工绩效的能力需求方法

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-12-12 DOI: 10.4108/ICST.COLLABORATECOM.2013.254181

U. Hassan, E. Curry

引用次数: 29

Towards context-aware recommendations: Strategies for exploiting multi-criteria communities 面向上下文感知的建议:利用多标准社区的策略

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-12-12 DOI: 10.4108/ICST.COLLABORATECOM.2013.254105

T. Nguyen, A. Nguyen

{"title":"Towards context-aware recommendations: Strategies for exploiting multi-criteria communities","authors":"T. Nguyen, A. Nguyen","doi":"10.4108/ICST.COLLABORATECOM.2013.254105","DOIUrl":"https://doi.org/10.4108/ICST.COLLABORATECOM.2013.254105","url":null,"abstract":"Nowadays, recommender systems are becoming popular since they help users alleviate the information overload problem by offering personalized recommendations. Most systems apply collaborative filtering to predict individual preferences based on opinions of like-minded people through their ratings on items. Recently, context-aware recommender systems (CARSs) exploit additional context data such as time, place and so on for providing better recommendations. However, the large majority of CARSs use only ratings as a criterion for building communities, and ignore other available data allowing users to be grouped into communities. In this paper, we present a novel approach for exploiting multi-criteria communities to generate context-aware recommendations. The underlying idea of three proposed algorithms CRMC, CRESC and CREOC is that for each context, communities from the most suitable criteria followed by the learning phase are incorporated into the recommendation process. Experimental results show that our approach can improve the quality of recommendations.","PeriodicalId":222111,"journal":{"name":"9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116631814","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: 4

Impact of mediating technologies on talk and emotion: Questioning “commonsense” 中介技术对谈话和情绪的影响:对“常识”的质疑

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-12-12 DOI: 10.4108/ICST.COLLABORATECOM.2013.254047

Joon-Suk Lee, D. Tatar

引用次数: 1

Click traffic analysis of short URL spam on Twitter Twitter短URL垃圾点击流量分析

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-12-12 DOI: 10.4108/ICST.COLLABORATECOM.2013.254084

De Wang, S. Navathe, Ling Liu, Danesh Irani, Acar Tamersoy, C. Pu

{"title":"Click traffic analysis of short URL spam on Twitter","authors":"De Wang, S. Navathe, Ling Liu, Danesh Irani, Acar Tamersoy, C. Pu","doi":"10.4108/ICST.COLLABORATECOM.2013.254084","DOIUrl":"https://doi.org/10.4108/ICST.COLLABORATECOM.2013.254084","url":null,"abstract":"With an average of 80% length reduction, the URL shorteners have become the norm for sharing URLs on Twitter, mainly due to the 140-character limit per message. Unfortunately, spammers have also adopted the URL shorteners to camouflage and improve the user click-through of their spam URLs. In this paper, we measure the misuse of the short URLs and analyze the characteristics of the spam and non-spam short URLs. We utilize these measurements to enable the detection of spam short URLs. To achieve this, we collected short URLs from Twitter and retrieved their click traffic data from Bitly, a popular URL shortening system. We first investigate the creators of over 600,000 Bitly short URLs to characterize short URL spammers. We then analyze the click traffic generated from various countries and referrers, and determine the top click sources for spam and non-spam short URLs. Our results show that the majority of the clicks are from direct sources and that the spammers utilize popular websites to attract more attention by cross-posting the links. We then use the click traffic data to classify the short URLs into spam vs. non-spam and compare the performance of the selected classifiers on the dataset. We determine that the Random Tree algorithm achieves the best performance with an accuracy of 90.81% and an F-measure value of 0.913.","PeriodicalId":222111,"journal":{"name":"9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125583167","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: 79

Improving textual merge result 改进文本合并结果

9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2013-12-12 DOI: 10.4108/ICST.COLLABORATECOM.2013.254103

Mehdi Ahmed-Nacer, Pascal Urso, F. Charoy

引用次数: 4