2017 IEEE International Conference on Smart Computing (SMARTCOMP)最新文献

Private Substring Search on Homomorphically Encrypted Data 同态加密数据的私有子串搜索

2017 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2017-06-12 DOI: 10.1109/SMARTCOMP.2017.7947038

Yu Ishimaki, Hiroki Imabayashi, H. Yamana

{"title":"Private Substring Search on Homomorphically Encrypted Data","authors":"Yu Ishimaki, Hiroki Imabayashi, H. Yamana","doi":"10.1109/SMARTCOMP.2017.7947038","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2017.7947038","url":null,"abstract":"With the rapid development of cloud storage services and IoT environment, how to securely and efficiently search without compromising privacy has been an indispensable problem. In order to address such a problem, much works have been proposed for searching over encrypted data. Motivated by storing sensitive data such as genomic and medical data, substring search for encrypted data has been studied. Previous work either leaks query access pattern using vulnerable cryptographic model or performs search over plaintext data by an encrypted query. Thus they are not compatible with outsourcing scenario where searched data is stored in encrypted form which is searched by an encrypted substring query without leaking query access pattern, i.e., private substring search. In order to perform private substring search, Fully Homomorphic Encryption (FHE) can be adopted although it induces computationally huge overhead. Because of the huge overhead, performing private substring search efficiently over FHE is a challenging task. In this work, we propose a private substring search protocol over encrypted data by adopting FHE followed by examining its feasibility. In particular, we make use of batching technique which can accelerate homomorphic computation in SIMD manner. In addition, we propose a data structure which can be useful to specific searching function for batched computation. Our experimental result showed our proposed method is feasible.","PeriodicalId":193593,"journal":{"name":"2017 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129737680","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

A Context-Aware Strategy to Properly Use IoT-Cloud Services 正确使用物联网云服务的上下文感知策略

2017 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2017-05-29 DOI: 10.1109/SMARTCOMP.2017.7946976

Maurizio Giacobbe, A. Puliafito, R. D. Pietro, M. Scarpa

引用次数: 2

Quantitative Availability Analysis of Hierarchical Datacenter under Power Oversubscription 电力超限下分层数据中心可用性定量分析

2017 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2017-05-29 DOI: 10.1109/SMARTCOMP.2017.7947039

Zhiguang Tang, Haihang Zhou, Yujin Zhu, Run Tian, Jianguo Yao

{"title":"Quantitative Availability Analysis of Hierarchical Datacenter under Power Oversubscription","authors":"Zhiguang Tang, Haihang Zhou, Yujin Zhu, Run Tian, Jianguo Yao","doi":"10.1109/SMARTCOMP.2017.7947039","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2017.7947039","url":null,"abstract":"From the perspective of economic and efficient benefits, modern data center oversubscribes power supplies to deploy as many servers as possible. The oversubscription is based on the varied loads among servers to modulate power demand. Nevertheless, power oversubscription has potential threats to system availability, the data center may collapse as a result of overloading. Current solutions to the oversubscription usually focus on managing the datacenter workload to avoid the peak power demand time in the data center. However, none of the current research considers the influence of the failure of the power or utility components, where the component failure may affect the effectiveness of these strategies. Meanwhile, none of these current research can answer the question that how many servers should be deployed in the data centers under an availability constraint. In this paper, we propose quantitative availability analysis of hierarchical datacenter under power oversubscription. To this end, we use Markov chain and Stochastic Reward Net (SRN) to model the failure and repair processes of data center components. The servers at the bottom level are distributed in two pools: main pool and backup pool, where running servers are in main pool and turned-off servers in backup pool. Migration from backup pool to main pool is conducted once any running server fails. SRNs are implemented to model these two pools, and Markov chain is used to model the components in the upper level. The evaluation is based on the real-life Google and Wikipedia traces. The result shows the relationship between oversubscription and data center availability, which can guide the data center operators to choose the appropriate oversubscription ratio under the availability constraint.","PeriodicalId":193593,"journal":{"name":"2017 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114368415","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

EliMO: Eliminating Channel Feedback from MIMO 消除来自MIMO的信道反馈

2017 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2017-05-29 DOI: 10.1109/SMARTCOMP.2017.7947004

Yongsen Ma, Gang Zhou, Shan Lin

{"title":"EliMO: Eliminating Channel Feedback from MIMO","authors":"Yongsen Ma, Gang Zhou, Shan Lin","doi":"10.1109/SMARTCOMP.2017.7947004","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2017.7947004","url":null,"abstract":"MIMO beamforming provides high throughput for WiFi networks, but it also leads to high computation and communication overhead due to Channel State Information (CSI) feedback. Explicit CSI feedback provides high beamforming gains, but it introduces extremely high overhead. Implicit CSI feedback has low overhead, but it provides very low beamforming gains. We propose EliMO to completely Eliminate CSI feedback from MIMO without sacrificing beamforming gains. EliMO uses two-way channel estimation to allow WiFi Access Points (AP) to accurately estimate downlink CSI without explicit CSI feedback. To measure downlink CSI at the WiFi AP, the WiFi station (STA) puts the received signal of downlink training symbols into Feedback Training Field (FTF) and sends it back to the AP. The AP estimates the two-way channel using the received signal of FTF. Analysis and experiment results show that EliMO is able to provide as high beamforming gains as explicit CSI feedback and as low overhead as implicit CSI feedback. EliMO significantly reduces computation and communication costs of measuring and sending CSI feedback for smart devices, like smartphones, smartwatches, and wireless drones. We evaluate the throughput and energy consumption of EliMO by experiment measurements in both static and mobile scenarios. Evaluation results show that EliMO provides 5× and 4× throughput as implicit and explicit CSI feedback, espectively. Energy consumption of EliMO is only 85%/30% of that of implicit/explicit CSI feedback.","PeriodicalId":193593,"journal":{"name":"2017 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124105991","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

An Exploratory Study of Marking Menu Selection by Visually Impaired Participants 视障受试者标记菜单选择的探索性研究

2017 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2017-05-29 DOI: 10.1109/SMARTCOMP.2017.7946986

Nem Khan Dim, Kibum Kim, Xiangshi Ren

引用次数: 1

FitBeat: A Lightweight System for Accurate Heart Rate Measurement during Exercise FitBeat:在运动过程中精确测量心率的轻量级系统

2017 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2017-05-29 DOI: 10.1109/SMARTCOMP.2017.7947009

Linlin Tu, Jun Huang, Chongguang Bi, G. Xing

引用次数: 9

End-To-End Security Architecture for Federated Cloud and IoT Networks 联邦云和物联网网络的端到端安全架构

2017 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2017-05-29 DOI: 10.1109/SMARTCOMP.2017.7947005

Philippe Massonet, Laurent Deru, Amel Achour, S. Dupont, A. Levin, M. Villari

{"title":"End-To-End Security Architecture for Federated Cloud and IoT Networks","authors":"Philippe Massonet, Laurent Deru, Amel Achour, S. Dupont, A. Levin, M. Villari","doi":"10.1109/SMARTCOMP.2017.7947005","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2017.7947005","url":null,"abstract":"Smart Internet of Things (IoT) applications will rely on advanced IoT platforms that not only provide access to IoT sensors and actuators, but also provide access to cloud services and data analytics. Future IoT platforms should thus provide connectivity and intelligence. One approach to connecting IoT devices, IoT networks to cloud networks and services is to use network federation mechanisms over the internet to create network slices across heterogeneous platforms. Network slices also need to be protected from potential external and internal threats. In this paper we describe an approach for enforcing global security policies in the federated cloud and IoT networks. Our approach allows a global security to be defined in the form of a single service manifest and enforced across all federation network segments. It relies on network function virtualisation (NFV) and service function chaining (SFC) to enforce the security policy. The approach is illustrated with two case studies: one for a user that wishes to securely access IoT devices and another in which an IoT infrastructure administrator wishes to securely access some remote cloud and data analytics services.","PeriodicalId":193593,"journal":{"name":"2017 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129129500","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: 12

A High Throughput Reader Scheduling Algorithm for Large RFID Systems in Smart Environments 智能环境下大型RFID系统的高吞吐量读写器调度算法

2017 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2017-05-29 DOI: 10.1109/SMARTCOMP.2017.7946979

Shigeng Zhang, Danming Jiang, Qing Zou, Jianxin Wang, Xuan Liu

{"title":"A High Throughput Reader Scheduling Algorithm for Large RFID Systems in Smart Environments","authors":"Shigeng Zhang, Danming Jiang, Qing Zou, Jianxin Wang, Xuan Liu","doi":"10.1109/SMARTCOMP.2017.7946979","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2017.7946979","url":null,"abstract":"Radio Frequency IDentification (RFID) plays a vital role in smart computing applications. Due to the limited communication range of individual RFID readers, large RFID systems deployed in real applications usually contain multiple readers. Existing reader scheduling algorithms either disallow adjacent readers to simultaneously work in order to avoid collisions among them, or simply activate all the readers to work together to exploit the parallel working of readers to increase identification throughput. In this paper, we propose a reader scheduling algorithm that tolerates collisions among readers but selects an optimal set of readers that can maximize tag identification throughput to work in parallel. The proposed algorithm thus achieves much higher tag identification throughput than existing solutions. Experiment results in a small testbed containing three readers show that, compared with the state-of-the-art solution, the proposed algorithm enhances tag identification throughput by 40%. Results from extensive simulation experiments further demonstrate that the proposed algorithm performs much better than existing solutions in large RFID systems. For example, the proposed algorithm achieves 132% higher identification throughput than previous best solution in systems containing more than one hundred readers when the readers are randomly deployed, meanwhile achieves much smaller identification delay.","PeriodicalId":193593,"journal":{"name":"2017 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117007640","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

Stoop: Stochastically-Dominant Access Point Selection in Enterprise WLANs 企业无线局域网中的随机优势接入点选择

2017 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2017-05-29 DOI: 10.1109/SMARTCOMP.2017.7947049

Yu Bai, M. Vuran, Demet Batur, S. Goddard

引用次数: 1

Ubiquitous Tracking Using Motion and Location Sensor with Application to Smartphone 基于运动和位置传感器的无所不在跟踪及其在智能手机上的应用

2017 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2017-05-29 DOI: 10.1109/SMARTCOMP.2017.7947056

Lei Wang, Li Feng, M. Zawodniok

引用次数: 3