2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC)最新文献_第2页

A Programming Language and System for Heterogeneous Cloud of Things 异构物云的编程语言与系统

2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC) Pub Date : 2016-11-01 DOI: 10.1109/CIC.2016.033

Robert Wenger, Xiru Zhu, J. Krishnamurthy, Muthucumaru Maheswaran

{"title":"A Programming Language and System for Heterogeneous Cloud of Things","authors":"Robert Wenger, Xiru Zhu, J. Krishnamurthy, Muthucumaru Maheswaran","doi":"10.1109/CIC.2016.033","DOIUrl":"https://doi.org/10.1109/CIC.2016.033","url":null,"abstract":"Cloud of Things (CoT) is a computing model that combines the widely popular cloud computing with Internet of Things (IoT). One of the major problems with CoT is the latency of accessing distant cloud resources from the devices, where the data is captured. To address this problem, paradigms such as fog computing and Cloudlets have been proposed to interpose another layer of computing between the clouds and devices. Such a three-layered cloud-fog-device computing architecture is touted as the most suitable approach for deploying many next generation ubiquitous computing applications. Programming applications to run on such a platform is quite challenging because disconnections between the different layers are bound to happen in a large-scale CoT system, where the devices can be mobile. This paper presents a programming language and system for a three-layered CoT system. We illustrate how our language and system addresses some of the key challenges in the three-layered CoT. A proof-of-concept prototype compiler and runtime have been implemented and several example applications are developed using it.","PeriodicalId":438546,"journal":{"name":"2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124980642","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

Using Biased Social Samples for Disaster Response: Extended Abstract 使用有偏差的社会样本进行灾难响应:扩展摘要

2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC) Pub Date : 2016-11-01 DOI: 10.1109/CIC.2016.067

Fred Morstatter

引用次数: 0

Enabling Attribute Based Encryption as an Internet Service 启用基于属性的加密作为互联网服务

2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC) Pub Date : 2016-11-01 DOI: 10.1109/CIC.2016.061

Runhua Xu, J. Joshi

{"title":"Enabling Attribute Based Encryption as an Internet Service","authors":"Runhua Xu, J. Joshi","doi":"10.1109/CIC.2016.061","DOIUrl":"https://doi.org/10.1109/CIC.2016.061","url":null,"abstract":"Internet enabled services and technologies are changing the way we use and manage massive amounts of data. More and more users and organizations are increasingly relying on cloud storage services for data management. In such Internet enabled environments, protecting sensitive data is increasingly becoming very crucial. Attribute-based Encryption (ABE) based approaches have been recognized as very promising for data protection in such environments. ABE approaches support data confidentiality and fine-grained access control in Internet-based environments, which include Internet of things (IoTs) and a plethora of heterogeneous mobile devices that enable large scale applications. However, in IoTs and mobile applications the limited computational resources and finite battery power of devices make it very difficult to use ABE schemes because of their heavy computational requirements. Although outsourced computational techniques have been applied in partial ABE schemes to address such issues, a unified platform that supports all aspects of data protection in an Internet-based open environment as well as fast cryptographic operations and decentralized authorities, etc., is still lacking. In this paper, we propose a novel Attribute Based Encryption as a Service (ABEaaS) that can be leveraged for data protection in the Internet environments. We propose an ABEaaS framework that can be easily deployed and present related security and performance analysis.","PeriodicalId":438546,"journal":{"name":"2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132946300","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

TrustZone Explained: Architectural Features and Use Cases TrustZone解释:架构特性和用例

2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC) Pub Date : 2016-11-01 DOI: 10.1109/CIC.2016.065

Bernard Ngabonziza, Daniel Martin, Anna Bailey, Haehyun Cho, Sarah Martin

引用次数: 91

Social-PPM: Personal Experience Sharing and Recommendation 社会ppm:个人经验分享和推荐

2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC) Pub Date : 2016-11-01 DOI: 10.1109/CIC.2016.018

A. Ngu, Shawn Fang, Helen Paik

{"title":"Social-PPM: Personal Experience Sharing and Recommendation","authors":"A. Ngu, Shawn Fang, Helen Paik","doi":"10.1109/CIC.2016.018","DOIUrl":"https://doi.org/10.1109/CIC.2016.018","url":null,"abstract":"The rise in popularity of various social network applications has brought the opportunities for Internet users to share and reuse a plethora of things like images, videos, datasets, ideas, interests, reviews etc. However, currently there is no effective way of sharing personal experiences such as the process of filing a personal income tax return or applying for a visa. We propose a social-aware process model and its implementation as a social network application that empowers users to create, to execute, and to share personal experiences within a social network at anytime and anywhere. As a social-aware process management system, it is important to have an effective recommender that predicts personal processes that a specific user may not be aware of and yet have the opportunity to enhance his/her life experiences. We adapt an existing collaborative filtering algorithm with emphasis on social context, the interaction history, and the type of interactions in processes for effective process recommendation. The assumption is that if two users have been copying and following same processes then it is likely that those two users have similar life goals, and this would be reflected in their future usage of the system as both of them will engage in similar processes.","PeriodicalId":438546,"journal":{"name":"2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133047340","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

Tracking Disaster Response and Relief Following the 2015 Nepal Earthquake 跟踪2015年尼泊尔地震后的灾害响应和救援

2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC) Pub Date : 2016-11-01 DOI: 10.1109/CIC.2016.075

Yue Su, Z. Lan, Y. Lin, L. Comfort, J. Joshi

引用次数: 6

Cloud Security: A Review of Current Issues and Proposed Solutions 云安全:当前问题和建议解决方案的回顾

2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC) Pub Date : 2016-11-01 DOI: 10.1109/CIC.2016.066

Napoleon Paxton

引用次数: 16

Collaborative Differentially Private Outlier Detection for Categorical Data 分类数据的协同差分私有离群点检测

2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC) Pub Date : 2016-11-01 DOI: 10.1109/CIC.2016.025

H. Asif, Tanay Talukdar, Jaideep Vaidya, Basit Shafiq, N. Adam

引用次数: 3

Can a Government Use Social Media to Support Disadvantaged Citizens? 政府能否利用社交媒体支持弱势公民?

2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC) Pub Date : 2016-11-01 DOI: 10.1109/CIC.2016.059

Cécile Paris, S. Nepal

{"title":"Can a Government Use Social Media to Support Disadvantaged Citizens?","authors":"Cécile Paris, S. Nepal","doi":"10.1109/CIC.2016.059","DOIUrl":"https://doi.org/10.1109/CIC.2016.059","url":null,"abstract":"The Web2.0 has transformed online interactions. In particular, there are an increasing number of online support groups in which people in similar situations can offer each other both informational and emotional support. In some cases, these groups are also attended by experts who can both monitor the groups and provide tailored information. In our work, we investigated whether an online support group could be used by the government to provide support to disadvantaged citizens. We designed, implemented and deployed a secure online community, in which government staff served as moderators and information providers. The aim of the community was to provide its members with informational and emotional support, and we hoped that this support would come from both the moderators and the community members. In this paper, we present the findings of a qualitative analysis of the community forum to see if the community achieved its goal. The analysis was done by first manually annotating the forum posts for speech acts, topics and emotions. We found that the community achieved its aims. In addition, we observed that community members found the support they received welcome and useful, and, importantly, it enabled them to feel heard by the government.","PeriodicalId":438546,"journal":{"name":"2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126033293","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

Towards Automated Threat Intelligence Fusion 迈向自动化威胁情报融合

2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC) Pub Date : 2016-11-01 DOI: 10.1109/CIC.2016.060

Ajay Modi, Zhibo Sun, Anupam Panwar, Tejas Khairnar, Ziming Zhao, Adam Doupé, Gail-Joon Ahn, Paul Black

{"title":"Towards Automated Threat Intelligence Fusion","authors":"Ajay Modi, Zhibo Sun, Anupam Panwar, Tejas Khairnar, Ziming Zhao, Adam Doupé, Gail-Joon Ahn, Paul Black","doi":"10.1109/CIC.2016.060","DOIUrl":"https://doi.org/10.1109/CIC.2016.060","url":null,"abstract":"The volume and frequency of new cyber attacks have exploded in recent years. Such events have very complicated workflows and involve multiple criminal actors and organizations. However, current practices for threat analysis and intelligence discovery are still performed piecemeal in an ad-hoc manner. For example, a modern malware analysis system can dissect a piece of malicious code by itself. But, it cannot automatically identify the criminals who developed it or relate other cyber attack events with it. Consequently, it is imperative to automatically assemble the jigsaw puzzles of cybercrime events by performing threat intelligence fusion on data collected from heterogeneous sources, such as malware, underground social networks, cryptocurrency transaction records, etc. In this paper, we propose an Automated Threat Intelligence fuSion framework (ATIS) that is able to take all sorts of threat sources into account and discover new intelligence by connecting the dots of apparently isolated cyber events. To this end, ATIS consists of 5 planes, namely analysis, collection, controller, data and application planes. We discuss the design choices we made in the function of each plane and the interfaces between two adjacent planes. In addition, we develop two applications on top of ATIS to demonstrate its effectiveness.","PeriodicalId":438546,"journal":{"name":"2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123646936","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: 27