2015 IEEE Trustcom/BigDataSE/ISPA最新文献_第10页

A New Fill-in Strategy for IC Factorization Preconditioning Considering SIMD Instructions 一种考虑SIMD指令的集成电路分解预处理新填充策略

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/Trustcom.2015.610

T. Iwashita, Naokazu Takemura, Akihiro Ida, H. Nakashima

引用次数: 2

Enhancing Access-Control with Risk-Metrics for Collaboration on Social Cloud-Platforms 基于风险度量的社交云平台协作访问控制

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/Trustcom.2015.458

Ahmed Bouchami, Elio Goettelmann, O. Perrin, C. Godart

引用次数: 7

RFID Secure Application Revocation for IoT in 5G 5G物联网下RFID安全应用撤销

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/Trustcom.2015.372

K. Fan, Yuanyuan Gong, Zhao Du, Hui Li, Yintang Yang

引用次数: 18

A Near Field Communication(NFC) Security Model Based on OSI Reference Model 基于OSI参考模型的近场通信(NFC)安全模型

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/Trustcom.2015.525

Weiping Fan, Wei-qing Huang, Zhujun Zhang, Ye Wang, Degang Sun

引用次数: 7

Inferring User Actions from Provenance Logs 从来源日志推断用户操作

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/TRUSTCOM-BIGDATASE-ISPA.2015.442

Xin Li, Chaitanya Joshi, Yu Shyang Tan, R. Ko

{"title":"Inferring User Actions from Provenance Logs","authors":"Xin Li, Chaitanya Joshi, Yu Shyang Tan, R. Ko","doi":"10.1109/TRUSTCOM-BIGDATASE-ISPA.2015.442","DOIUrl":"https://doi.org/10.1109/TRUSTCOM-BIGDATASE-ISPA.2015.442","url":null,"abstract":"Progger, a kernel-spaced cloud data provenance logger which provides fine-grained data activity records, was recently developed to empower cloud stakeholders to trace data life cycles within and across clouds. Progger logs have the potential to allow analysts to infer user actions and create a data-centric behaviour history in a cloud computing environment. However, the Progger logs are complex and noisy and therefore, currently this potential can not be met. This paper proposes a statistical approach to efficiently infer the user actions from the Progger logs. Inferring logs which capture activities at kernel-level granularity is not a straightforward endeavour. This paper overcomes this challenge through an approach which shows a high level of accuracy. The key aspects of this approach are identifying the data preprocessing steps and attribute selection. We then use four standard classification models and identify the model which provides the most accurate inference on user actions. To our best knowledge, this is the first work of its kind. We also discuss a number of possible extensions to this work. Possible future applications include the ability to predict an anomalous security activity before it occurs.","PeriodicalId":277092,"journal":{"name":"2015 IEEE Trustcom/BigDataSE/ISPA","volume":"7 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123729949","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

KDet: Coordinated Detection of Forwarding Faults in Wireless Community Networks 无线社区网络中转发故障的协调检测

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/Trustcom.2015.441

E. López, L. Navarro

{"title":"KDet: Coordinated Detection of Forwarding Faults in Wireless Community Networks","authors":"E. López, L. Navarro","doi":"10.1109/Trustcom.2015.441","DOIUrl":"https://doi.org/10.1109/Trustcom.2015.441","url":null,"abstract":"Wireless Community Networks (WCN) are grassroot initiatives that leverage the connectivity gap by providing an alternative ownership model for IP-networks, where every piece of equipment is managed and owned in a decentralized fashion by members from the community. However, WCN have three intrinsic characteristics that make forwarding faults more likely: inexpensive equipment, non-expert administration and openness. These characteristics hinder the robustness of network connectivity. Here we present KDet, a distributed protocol for the detection of forwarding faults by establishing overlapping logical boundaries that monitor the behavior of the routers within them. KDet is designed to be collusion resistant, ensuring that compromised routers cannot cover for others to avoid detection. Another important characteristic of KDet is that it does not rely on path information: monitoring nodes do not have to know the complete path a packet follows, just the previous and next hop. As a result, KDet can be deployed as an independent daemon without imposing any change in the network, and it will bring improved network robustness. Results from theoretical analysis and simulation show the correctness of the algorithm, its accuracy in detecting forwarding faults, and a comparison in terms of cost and advantages over previous work.","PeriodicalId":277092,"journal":{"name":"2015 IEEE Trustcom/BigDataSE/ISPA","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121807605","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

An Instruction-Set Randomization Using Length-Preserving Permutation 基于保长置换的指令集随机化

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/Trustcom.2015.397

Jianming Fu, Xu Zhang, Yan Lin

引用次数: 5

Alias Detection Across Multi-online Applications Based on User's Behavior Characteristics 基于用户行为特征的多在线应用别名检测

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/Trustcom.2015.497

Zhaoli Liu, Tao Qin, X. Guan, Xiaoqiang Niu, Tao Yang

{"title":"Alias Detection Across Multi-online Applications Based on User's Behavior Characteristics","authors":"Zhaoli Liu, Tao Qin, X. Guan, Xiaoqiang Niu, Tao Yang","doi":"10.1109/Trustcom.2015.497","DOIUrl":"https://doi.org/10.1109/Trustcom.2015.497","url":null,"abstract":"The quickly development of many online applications benefit our daily life. But on the other hand, user usually holds several aliases in different online applications. The aliases across multi-online applications detection are becoming more and more important for E-marketing and user's behavior monitoring. In this paper, we propose a method for detecting aliases across multi-online applications. Firstly, we employ the active and positive methods to collect the user's alias and behavior information from several famous applications, including Email, RenRen and etc. Then we analyzed the user's behavior characteristics in specific applications, and some interesting findings are proposed. Finally, we perform the alias detection based on user's behavior profiles, including the similarity of the ID and the number of appearance in specific IP address. According to user's behavior habit, the aliases belong to the same physical users are usually similar with each other. Furthermore, one specific user usually use the same computer to login into different applications, thus the IP addresses used for accessing those applications usually same with each other. Based on those assumptions we employ the Bayesian Network to perform alias detection. Empirical results based on actual data verify the efficiency and correctness of the proposed methods.","PeriodicalId":277092,"journal":{"name":"2015 IEEE Trustcom/BigDataSE/ISPA","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125506078","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

Revocation Management in Vehicular Ad-hoc Networks 车载自组网中的撤销管理

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/Trustcom.2015.507

Francisco Martín-Fernández, P. Caballero-Gil, C. Caballero-Gil

引用次数: 4

Petri Nets Formalization of Map/Reduce Paradigm to Optimise the Performance-Cost Tradeoff Map/Reduce范式的Petri网形式化以优化性能-成本权衡

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/Trustcom.2015.617

M. Ruiz, Javier L. Calleja, D. Cazorla

{"title":"Petri Nets Formalization of Map/Reduce Paradigm to Optimise the Performance-Cost Tradeoff","authors":"M. Ruiz, Javier L. Calleja, D. Cazorla","doi":"10.1109/Trustcom.2015.617","DOIUrl":"https://doi.org/10.1109/Trustcom.2015.617","url":null,"abstract":"Nowadays, the world around us is built up on more and more unstructured data every day. However, performing a longitudinal analysis of these data becomes a Big-Data problem that cannot be tackled with traditional tools, storage or processing infrastructures. One of the main contributions to address this matter has been the Hadoop framework (which implements the Map/Reduce paradigm), especially when used in conjunction with Cloud computing environments. This paper presents a formalization of the Map/Reduce paradigm which is used to evaluate performance parameters and make a trade-off analysis of the number of workers versus processing time and resource cost. We have used Prioritised -- Timed Coloured Petri Nets to obtain complete and unambiguous models of the system behaviour as well as CPNTools to evaluate the correctness of the system using state space exploration and for performance evaluation. The resulting formal model is evaluated with a real social media data Hadoop-based application and it is validated by carrying out experiments on a real private Cloud environment. Results show that the proposed model enables to determine in advance both the performance of a Map/Reduce-based application within Cloud environments and the best performance-cost agreement.","PeriodicalId":277092,"journal":{"name":"2015 IEEE Trustcom/BigDataSE/ISPA","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121468803","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: 11