International Workshop on Multiple Classifier Systems最新文献

Processing Radio Access Network Functions in the Cloud: Critical Issues and Modeling 处理云中的无线接入网络功能:关键问题和建模

International Workshop on Multiple Classifier Systems Pub Date : 2015-09-11 DOI: 10.1145/2802130.2802136

N. Nikaein

{"title":"Processing Radio Access Network Functions in the Cloud: Critical Issues and Modeling","authors":"N. Nikaein","doi":"10.1145/2802130.2802136","DOIUrl":"https://doi.org/10.1145/2802130.2802136","url":null,"abstract":"Commoditization and virtualization of wireless networks are changing the economics of mobile networks to help network providers (e.g., MNO, MVNO) move from proprietary and bespoke hardware and software platforms toward an open, cost-effective, and flexible cellular ecosystem. Cloud radio access network is a novel architecture that perform the required base band and protocol processing on a centralized computing resources or a cloud infrastructure. This replaces traditional base stations with distributed (passive) radio elements with much smaller footprints than the traditional base station and a remote pool of base band units allowing for simpler network densification. This paper investigates three critical issues for the cloudification of the current LTE/LTE-A radio access network. Extensive experimentations have been performed based on the OpenAirInterface simulators to characterise the base band processing time under different conditions. Based on the results, an accurate model is proposed to compute the total uplink and downlink processing load as a function of bandwidth, modulation and coding scheme, and virtualization platforms. The results also reveal the feasible virtualization approach towards a cloud-native radio access network.","PeriodicalId":441255,"journal":{"name":"International Workshop on Multiple Classifier Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116199427","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: 125

A Novel Hybrid Mobile Malware Detection System Integrating Anomaly Detection With Misuse Detection 一种结合异常检测和误用检测的新型混合移动恶意软件检测系统

International Workshop on Multiple Classifier Systems Pub Date : 2015-09-11 DOI: 10.1145/2802130.2802132

Xiaolei Wang, Yuexiang Yang, Yingzhi Zeng, Chuan Tang, Jiangyong Shi, Kele Xu

{"title":"A Novel Hybrid Mobile Malware Detection System Integrating Anomaly Detection With Misuse Detection","authors":"Xiaolei Wang, Yuexiang Yang, Yingzhi Zeng, Chuan Tang, Jiangyong Shi, Kele Xu","doi":"10.1145/2802130.2802132","DOIUrl":"https://doi.org/10.1145/2802130.2802132","url":null,"abstract":"As the dominator of the Smartphone operating system market, Android has attracted the attention of malware authors and researchers alike. The number of Android malware is increasing rapidly regardless of the considerable number of proposed malware analysis systems. In this paper, by taking advantages of low false-positive rate of misuse detection and the ability of anomaly detection to detect zero-day malware, we propose a novel hybrid detection system based on a new open-source framework CuckooDroid, which enables the use of Cuckoo Sandbox's features to analyze Android malware through dynamic and static analysis. Our proposed system mainly consist of two parts, a misuse detector performing known malware detection and classification through combining static analysis with dynamic analysis; an anomaly detector performing abnormal apps detection through dynamic analysis. We evaluate our method with 5560 malware samples and 12000 benign samples. Experiments shows that our misuse detector with hybrid analysis can accurately detect and classify malware samples with an average positive rate 98.79%, 98.32% respectively; it is worth noting that our anomaly detector by dynamic analysis is capable of detecting zero-day malware with a low false negative rate (1.24%) and acceptable false positive rate (2.24%). Our proposed detection system is mainly designed for App store markets and the ordinary users who can access our system through mobile cloud service.","PeriodicalId":441255,"journal":{"name":"International Workshop on Multiple Classifier Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129543107","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: 34

Vision: Augmenting WiFi Offloading with An Open-source Collaborative Platform 愿景:利用开源协作平台增强WiFi卸载

International Workshop on Multiple Classifier Systems Pub Date : 2015-09-11 DOI: 10.1145/2802130.2802135

A. Ding, Yanhe Liu, S. Tarkoma, H. Flinck, H. Schulzrinne, J. Crowcroft

{"title":"Vision: Augmenting WiFi Offloading with An Open-source Collaborative Platform","authors":"A. Ding, Yanhe Liu, S. Tarkoma, H. Flinck, H. Schulzrinne, J. Crowcroft","doi":"10.1145/2802130.2802135","DOIUrl":"https://doi.org/10.1145/2802130.2802135","url":null,"abstract":"Offloading mobile traffic to WiFi networks (WiFi Offloading) is a cost-effective technique to alleviate the pressure on mobile networks for meeting the surge of data capacity demand. However, most existing proposals from standards developing organizations (SDOs) and research communities are facing a deployment dilemma, either due to overlooking device limitations, lack user incentives, or missing operator supports. In this position paper, we introduce an open-source platform for WiFi offloading to tackle the deployment challenge. Our solution leverages the programmable feature of software-defined networking (SDN) to enhance extensibility and deployability in a collaborative manner. Inspired by our field measurements covering 4G/LTE and 802.11ac/n, we exploit context awareness as a use case to demonstrate the efficacy of our solution. We also discuss the potential usage by cloud service providers given the opportunities behind the growing popularity of mobile virtual network operators (MVNO). We have released our platform under open-source licenses to encourage future collaboration and development with SDOs and research communities.","PeriodicalId":441255,"journal":{"name":"International Workshop on Multiple Classifier Systems","volume":"41 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125746406","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

Cloudlet-based Large-scale 3D Reconstruction Using Real-time Data from Mobile Depth Cameras 基于云的移动深度相机实时数据大规模三维重建

International Workshop on Multiple Classifier Systems Pub Date : 2015-09-11 DOI: 10.1145/2802130.2802134

Steven Bohez, Jaron Couvreur, B. Dhoedt, P. Simoens

引用次数: 2

Vision: The Case for Symbiosis in the Internet of Things 愿景:物联网共生案例

International Workshop on Multiple Classifier Systems Pub Date : 2015-09-11 DOI: 10.1145/2802130.2802133

Ahmed Saeed, M. Ammar, Khaled A. Harras, E. Zegura

{"title":"Vision: The Case for Symbiosis in the Internet of Things","authors":"Ahmed Saeed, M. Ammar, Khaled A. Harras, E. Zegura","doi":"10.1145/2802130.2802133","DOIUrl":"https://doi.org/10.1145/2802130.2802133","url":null,"abstract":"Smart devices are becoming more powerful with faster processors, larger storage, and different types of communication modalities (e.g., WiFi, Bluetooth, and cellular). In the predominant view of Internet of Things (IoT) architecture, all smart devices are expected to communicate with cloud services and/or user-held mobile devices for processing, storage, and user interaction. This architecture heavily taxes Internet bandwidth by moving large volumes of data from the edge to the cloud, and presumes the availability of low-cost, high-performance cloud services that satisfy all user needs. We envision a new approach where all devices within the same network are 1) logically mesh connected either directly through Bluetooth or indirectly through WiFi, and 2) cooperate in a symbiotic fashion to perform different tasks. We consider instantiating this vision in a system we call SymbIoT. We first present the design goals that need to be satisfied in SymbIoT. We then discuss a strawman system's architecture that allows devices to assume different roles based on their capabilities (e.g., processing, storage, and UI). Finally, we show that it is, indeed, feasible to use low-end smart device capabilities in a cooperative manner to meet application requirements.","PeriodicalId":441255,"journal":{"name":"International Workshop on Multiple Classifier Systems","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132767531","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: 39

Enabling Vehicular Applications using Cloud Services through Adaptive Computation Offloading 通过自适应计算卸载实现使用云服务的车载应用程序

International Workshop on Multiple Classifier Systems Pub Date : 2015-09-11 DOI: 10.1145/2802130.2802131

A. Ashok, P. Steenkiste, F. Bai

{"title":"Enabling Vehicular Applications using Cloud Services through Adaptive Computation Offloading","authors":"A. Ashok, P. Steenkiste, F. Bai","doi":"10.1145/2802130.2802131","DOIUrl":"https://doi.org/10.1145/2802130.2802131","url":null,"abstract":"There is growing interest in embedding new class of applications in vehicles to improve the user driving experience. However, the limited computational and storage resources in vehicles brings about a challenge of running computation and data intensive tasks of such applications in the vehicle's on-board unit (OBU). Moreover, embedded applications may not be easily updated by replacing hardware as upgrades in the vehicle OBUs can only happen over each vehicular life-cycle, which is of the order of 10-15 years. The advent of connectivity of vehicles to the Internet offers the possibility of offloading computation and data intensive tasks from the OBU to remote cloud servers for efficient execution. In this paper, we propose a novel architecture for bringing cloud-computing to vehicles where applications embedded in the vehicle OBU can benefit from remote execution of tasks provided as services in the cloud. We design a framework to identify and adaptively manage offloading of computation and data intensive tasks from the vehicle OBU to the cloud during application run-time. Through experimental evaluation using a preliminary prototype implementation of two computer vision applications that use our framework, we show that our approach can provide at least 3x reduction in the end-to-end application response time.","PeriodicalId":441255,"journal":{"name":"International Workshop on Multiple Classifier Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123874047","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: 26

An Empirical Investigation on the Use of Diversity for Creation of Classifier Ensembles 利用多样性创建分类器集成的实证研究

International Workshop on Multiple Classifier Systems Pub Date : 2015-06-29 DOI: 10.1007/978-3-319-20248-8_18

M. A. O. Ahmed, Luca Didaci, G. Fumera, F. Roli

引用次数: 6

Building Classifier Ensembles Using Greedy Graph Edit Distance 利用贪婪图编辑距离构建分类器集合

International Workshop on Multiple Classifier Systems Pub Date : 2015-06-29 DOI: 10.1007/978-3-319-20248-8_11

Kaspar Riesen, Miquel A. Ferrer, Andreas Fischer

引用次数: 1

Suboptimal Graph Edit Distance Based on Sorted Local Assignments 基于排序局部分配的次优图编辑距离

International Workshop on Multiple Classifier Systems Pub Date : 2015-06-29 DOI: 10.1007/978-3-319-20248-8_13

Kaspar Riesen, Miquel A. Ferrer, H. Bunke

引用次数: 4

Multimodal PLSA for Movie Genre Classification 电影类型分类的多模态PLSA

International Workshop on Multiple Classifier Systems Pub Date : 2015-06-29 DOI: 10.1007/978-3-319-20248-8_14

Hao-Zhi Hong, J. G. Hwang

引用次数: 6