2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications最新文献

One Kind of Cross-Domain DAA Scheme from Bilinear Mapping 一种双线性映射的跨域DAA方案

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.62

Xiaoming Wang, Heyou Cheng, Ruihua Zhang

引用次数: 1

An Improved Image File Storage Method Using Data Deduplication 基于重复数据删除的改进镜像文件存储方法

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.82

Zhou Lei, Zhaoxin Li, Yu Lei, Y. Bi, Luokai Hu, W. Shen

{"title":"An Improved Image File Storage Method Using Data Deduplication","authors":"Zhou Lei, Zhaoxin Li, Yu Lei, Y. Bi, Luokai Hu, W. Shen","doi":"10.1109/TrustCom.2014.82","DOIUrl":"https://doi.org/10.1109/TrustCom.2014.82","url":null,"abstract":"Recent years have seen a rapid growth in the number of virtual machines and virtual machine images that are managed to support infrastructure as a service (IaaS). For example, Amazon Elastic Compute Cloud (EC2) has 6,521 public virtual machine images. This creates several challenges in management of image files in a cloud computing environment. In particular, a large amount of duplicate data that exists in image files consumes significant storage space. To address this problem, we propose an effective image file storage technique using data deduplication with a modified fixed-size block scheme. When a user requests to store an image file, this technique first calculates the fingerprint for the image file, and then compares the fingerprint with the fingerprints in a fingerprint library. If the fingerprint of the image is already in the library, a pointer to the existing fingerprint is used to store this image. Otherwise this image will be processed using the fixed-size block image segmentation method. We design a metadata format for image files to organize image file blocks and a new MD5 index table of image files to reduce their retrieval time. The experiments show that our technique can significantly reduce the transmission time of image files that have already existed in storage. Also the deletion rate for image groups which have the same version of operating systems but different versions of software applications is up about 58%.","PeriodicalId":268788,"journal":{"name":"2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications","volume":"384 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114896852","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

AppCaulk: Data Leak Prevention by Injecting Targeted Taint Tracking into Android Apps AppCaulk:通过在Android应用程序中注入有针对性的污点跟踪来防止数据泄漏

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.48

J. Schütte, Dennis Titze, J. M. D. Fuentes

引用次数: 35

A Machine Learning Based Trust Evaluation Framework for Online Social Networks 基于机器学习的在线社交网络信任评估框架

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.13

Kang Zhao, Li Pan

{"title":"A Machine Learning Based Trust Evaluation Framework for Online Social Networks","authors":"Kang Zhao, Li Pan","doi":"10.1109/TrustCom.2014.13","DOIUrl":"https://doi.org/10.1109/TrustCom.2014.13","url":null,"abstract":"Trust in Online Social Networks is an increasing popular issue in the field of social computing. It has been widely used in scenarios such as e-commerce, friend recommendation and trust-based access control system. Several trust computing methods have been proposed from different perspectives, however, most of them just quantify certain trust related factors and integrate them into a trust value by setting a weight for each factor. On the one hand, the weight is difficult to select since the influence that each factor has on trust is uncertain. On the other hand, the trust values generated by these methods might not be in accordance with users' subjective judgements and they are not straightforward for users to understand. It is necessary for a trust evaluation method to provide accurate and intuitive trust levels for the social network users. Therefore, in this paper, trust evaluation is formalized as a classification problem and a novel approach utilizing machine learning method is presented. Firstly, the trust feature vector is constructed according to the trust related factors. Then by training with collected sample data which contains trust feature vectors and trust ratings, a trust classifier can be established. Based on this approach, a general trust evaluation framework is proposed for network-level trust evaluation. The experiments in real social networks verify the feasibility of our framework and show that the trained trust classifier has a relatively high predicting accuracy.","PeriodicalId":268788,"journal":{"name":"2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121286439","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: 48

Encrypted Keyword Search Mechanism Based on Bitmap Index for Personal Storage Services 基于位图索引的个人存储服务加密关键字搜索机制

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.22

Yong Ho Hwang, J. Seo, I. Kim

引用次数: 10

VALID: A Web Framework for Visual Analytics of Large Streaming Data 一个大型流数据可视化分析的Web框架

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.89

Chenhui Li, G. Baciu

引用次数: 7

Automated User Profiling in Location-Based Mobile Messaging Applications 基于位置的移动消息应用程序中的自动用户分析

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.7

Yao Cheng, Chang Xu, Yi Yang, Lingyun Ying, Purui Su, D. Feng

{"title":"Automated User Profiling in Location-Based Mobile Messaging Applications","authors":"Yao Cheng, Chang Xu, Yi Yang, Lingyun Ying, Purui Su, D. Feng","doi":"10.1109/TrustCom.2014.7","DOIUrl":"https://doi.org/10.1109/TrustCom.2014.7","url":null,"abstract":"Location-based messaging applications (LMAs), a kind of messaging applications for mobile devices which enable users to connect with people based on their geographical locations, have recently experienced a huge popularity growth. The killer feature in LMAs that embodies the concept of geo-based instant messaging, named people nearby, allows users at any place to search and communicate with other registered users nearby. In this paper, we discuss a common weakness in LMAs that relates to the abuse of the people nearby function. In this case, rich personal data of registered LMA users can be easily obtained, bringing a chance to perform automated user profiling in LMAs. Specifically, we build an automated and scalable system to construct extended profiles (or we call life profile) of LMA users, which contain not only personal information of LMA users but also the daily activities and social ties inferred from their leaked spatio-temporal privacy. The system is highly adaptable to various applications, requiring no modification of applications or trivial work on protocol reverse engineering. We conduct the evaluation on a large scale for the first time. In our experiment, we succeed to construct life profiles for more than 280,000 users from two popular LMAs. The results of empirical analysis not only validate the existence of the privacy issue in LMAs, but also demonstrate its severity.","PeriodicalId":268788,"journal":{"name":"2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131616519","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: 1

Detect Android Malware Variants Using Component Based Topology Graph 使用基于组件的拓扑图检测Android恶意软件变体

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.52

Tong Shen, Yibing Zhongyang, Zhi Xin, Bing Mao, Hao Huang

引用次数: 29

Overhead-Free In-Place Recovery Scheme for XOR-Based Storage Codes 基于xor存储代码的无开销就地恢复方案

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.70

Ximing Fu, Zhiqing Xiao, Shenghao Yang

引用次数: 6

A Practically Optimized Implementation of Attribute Based Cryptosystems 一种基于属性的密码系统的实用优化实现

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.29

Chun-qiang Hu, Fan Zhang, Tao Xiang, Hongjuan Li, Xiao Xiao, Gui-chao Huang

{"title":"A Practically Optimized Implementation of Attribute Based Cryptosystems","authors":"Chun-qiang Hu, Fan Zhang, Tao Xiang, Hongjuan Li, Xiao Xiao, Gui-chao Huang","doi":"10.1109/TrustCom.2014.29","DOIUrl":"https://doi.org/10.1109/TrustCom.2014.29","url":null,"abstract":"Attribute based encryption (ABE) has been applied to many applications nowadays [1][2] and it effectively achieves a fine grained access control. Even the encryptor needs only one encryption operation, and all the decryption operations are distributed to the receiver's end, the computational cost of encryption is still impractical when there is a large amount of encryption with different access structures. In this paper, we examine existing techniques that optimize the decentralized attribute based encryption scheme [3], such as a better construction of e Linear Secret-Sharing Scheme (LSSS) matrix, pre-processing of scalar multiplication and pairing, multi-pairing and so on. We proposed the deployment of offline pools to improve the real-time operations. We proposed the method to construct offline pools and designed algorithms to achieve better hitting rate of offline pool topples. We evaluated the optimization techniques, the result shows that there is a 45 times of performance improvement in the encryption (6-8 times for the decryption) after we applied all the real-time optimization techniques mentioned in our paper. With deployment of the offline pools, the optimization can be improved at least 100-200 times than without offline pools.","PeriodicalId":268788,"journal":{"name":"2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications","volume":"99 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124328353","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: 7