2019 IEEE Global Communications Conference (GLOBECOM)最新文献_第4页

Optimal Joint Antenna Selection and Power Adaptation for Underlay Spectrum Sharing 基于底层频谱共享的最优联合天线选择与功率自适应

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013314

Rimalapudi Sarvendranath, N. Mehta

引用次数: 1

Edge-Assisted Learning for Real-Time UAV Imagery via Predictive Offloading 基于预测卸载的实时无人机图像边缘辅助学习

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013352

Zhuosheng Zhang, L. Njilla, Shucheng Yu, Jiawei Yuan

{"title":"Edge-Assisted Learning for Real-Time UAV Imagery via Predictive Offloading","authors":"Zhuosheng Zhang, L. Njilla, Shucheng Yu, Jiawei Yuan","doi":"10.1109/GLOBECOM38437.2019.9013352","DOIUrl":"https://doi.org/10.1109/GLOBECOM38437.2019.9013352","url":null,"abstract":"Real-time decision making with unmanned aerial vehicles (UAVs) imagery is desired in many applications. Deep learning (DL) is a promising enabler for such applications thanks to its recent advancements. However, direct execution of DL models on UAVs, especially small and micro ones, would not only introduce severe delay but also significantly shorten the flight time of UAVs due to the high energy consumption. Realtime transmission of UAV images to ground edge devices for deep analysis can mitigate the computational complexity but may introduce severe interference to ground devices, in addition unpredictable delays due to the dynamic network conditions. To minimize real-time image transmission, this paper designs a new offloading prediction algorithm which first estimates nearfuture need for DL of each UAV and transmit images only when necessary. Holistic resource allocation is made at the edge based on the offloading likelihood analysis of multiple UAVs as well as available resources. Experimental results on real UAV video clips show that our design can save 92% of the communication costs with less than 4% false positive rate.","PeriodicalId":6868,"journal":{"name":"2019 IEEE Global Communications Conference (GLOBECOM)","volume":"71 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85903464","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

Cross-Organizational Access Control for EHRs: Trustworthy, Flexible, Transparent 电子病历的跨组织访问控制:可信、灵活、透明

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013842

Zhuo Ma, Meng-Di Zhao, Ximeng Liu, Chong Shen, Jianfeng Ma

引用次数: 0

Distributed Online Resource Allocation Using Congestion Game for 5G Virtual Network Services 基于拥塞游戏的5G虚拟网络业务分布式在线资源分配

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013245

Y. Bi, Monchai Bunyakitanon, N. Uniyal, A. Bravalheri, A. Muqaddas, R. Nejabati, D. Simeonidou

{"title":"Distributed Online Resource Allocation Using Congestion Game for 5G Virtual Network Services","authors":"Y. Bi, Monchai Bunyakitanon, N. Uniyal, A. Bravalheri, A. Muqaddas, R. Nejabati, D. Simeonidou","doi":"10.1109/GLOBECOM38437.2019.9013245","DOIUrl":"https://doi.org/10.1109/GLOBECOM38437.2019.9013245","url":null,"abstract":"To meet the challenge of flexible and dynamic resource provisioning for massive and various network services, we investigate the network function virtualization-resource allocation problem in the 5G network. For the first time, this problem is modelled as the congestion game to capture the effects of resource congestion on packet processing latency, optical-to-electronic and electronic-to-optical conversion latency. All the network service requests received at the same time are players trying to minimise their own end-to-end latency and resource consumption cost. A distributed online algorithm is designed and simulation results show that it can achieve 100% service acceptance ratio while the baseline algorithm cannot. If lower weighted resource consumption cost is set for 1ms and 5ms services, more such services will be routed to edge nodes and network operators will earn more. An experiment for network services with different packet sizes is carried out, and results prove that the proposed algorithm converges to Nash Equilibrium in 40 seconds and the latency requirements are all satisfied if the packet size is small.","PeriodicalId":6868,"journal":{"name":"2019 IEEE Global Communications Conference (GLOBECOM)","volume":"47 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80989975","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

Optimal QoS-Driven Power Allocation for Energy Harvesting Wireless Ad-Hoc Networks Using FBC 基于FBC的能量收集无线自组网qos驱动的最优功率分配

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013530

Xi Zhang, Jingqing Wang, H. Poor

{"title":"Optimal QoS-Driven Power Allocation for Energy Harvesting Wireless Ad-Hoc Networks Using FBC","authors":"Xi Zhang, Jingqing Wang, H. Poor","doi":"10.1109/GLOBECOM38437.2019.9013530","DOIUrl":"https://doi.org/10.1109/GLOBECOM38437.2019.9013530","url":null,"abstract":"In the last few decades, the statistical delay- bounded quality-of-service (QoS) technique has been proposed and investigated to support the delay-bounded 5G multimedia wireless services In addition, the energy harvesting (EH) based systems, which enable the mobile devices to harvest energy from various external sources, have been designed to address the energy scarcity problem. Researchers have recently integrated EH based systems with short-packet communications for their potential benefits of small payloads and low latency to support reliable multimedia data transmissions. Under the short delay requirements for the low-latency 5G multimedia wireless services, it is not ideal to apply the traditional Shannon capacity for modeling the data rate under the error-rate bounded in the non- asymptotic regime. Accordingly, researchers have developed the finite wireless data transmission rate in the non-asymptotic regime. However, it is challenging to determine the convexity of the effective-capacity maximization problem subject to the statistical delay-bounded and error-rate bounded QoS constraints due to the complexity of analyzing the maximization problem in the non- asymptotic regime. To overcome these challenges, we design the EH based cross- layer optimization scheme in supporting the statistical delay-bounded and error-rate bounded QoS requirements in the finite blocklength regime in the following steps. First, we characterize the EH based system models under finite blocklength coding (FBC). Second, we derive and analyze the convexity of the /spl epsilon/-effective capacity maximization problem for our proposed EH scheme in the finite blocklength regime. Finally, we conduct several simulation evaluations which validate our proposed EH scheme under the statistical delaybounded and error-rate bounded QoS constraints in the finite blocklength regime.","PeriodicalId":6868,"journal":{"name":"2019 IEEE Global Communications Conference (GLOBECOM)","volume":"31 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79526591","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

Targeted Malicious Email Detection Using Hypervisor-Based Dynamic Analysis and Ensemble Learning 基于hypervisor的动态分析和集成学习的针对性恶意邮件检测

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9014069

Jian Zhang, Wenzhen Li, Liangyi Gong, Zhaojun Gu, Jeffrey Wu

{"title":"Targeted Malicious Email Detection Using Hypervisor-Based Dynamic Analysis and Ensemble Learning","authors":"Jian Zhang, Wenzhen Li, Liangyi Gong, Zhaojun Gu, Jeffrey Wu","doi":"10.1109/GLOBECOM38437.2019.9014069","DOIUrl":"https://doi.org/10.1109/GLOBECOM38437.2019.9014069","url":null,"abstract":"At present, email is still one of the most frequently used communication tools for organizations and individuals. With the leakage of personal privacy information, targeted malicious email (TME) is becoming a prominent targeted cyber attack vector in today's Internet. This type of attack often uses personal information, about an individual, group of individuals, or an organization, to make a TME more believable and personalized. TME is effective to penetrate email defense system because it is fundamentally difficult for traditional email security method to distinguish legitimate emails from malicious emails. And TMEs often contain malicious URLs or malicious attachments, which are extremely aggressive and destructive. In order to effectively deal with this new type of malicious email attack, this paper proposes a dynamic detection method for malicious email. We simulate the recipient opening the email in the virtual machine (VM), accessing the URL and activating the attachment. And we use the virtual machine introspection (VMI) and memory forensics analysis (MFA) technology to obtain the dynamic features of the email by the out-of-VM. Then we use AdaBoostM1 ensemble learning method and Voting combination strategy to combine three base classifiers such as BayesNet, SMO and J48 to build a powerful classification model for detecting TME attacks. The AdaBoostM1 classifier achieved the high detection rates, with an AUC of 0.997, true positive rate (TPR) of 0.997, and false positive rate (FPR) of 0.015. In addition, our proposed detection method is superior to the 56 anti-virus engines on VirusTotal and most of the existing research works.","PeriodicalId":6868,"journal":{"name":"2019 IEEE Global Communications Conference (GLOBECOM)","volume":"7 8 Suppl 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85457748","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

Multipath Routing, Spectrum and Core Allocation in Protected SDM Elastic Optical Networks 受保护SDM弹性光网络中的多径路由、频谱和核心分配

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013523

Helder Oliveira, N. Fonseca

引用次数: 12

A Comprehensive View of Wireless Link Energy Efficiency 无线链路能源效率的综合观点

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9014174

E. McCune

引用次数: 3

Energy-Saving Predictive Video Streaming with Deep Reinforcement Learning 基于深度强化学习的节能预测视频流

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013784

Dong Liu, Jianyu Zhao, Chenyang Yang

引用次数: 7

Collaborative Computation Offloading at UAV-Enhanced Edge 无人机增强边缘的协同计算卸载

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013956

Jingyu Xiong, Hongzhi Guo, Jiajia Liu, N. Kato, Yanning Zhang

{"title":"Collaborative Computation Offloading at UAV-Enhanced Edge","authors":"Jingyu Xiong, Hongzhi Guo, Jiajia Liu, N. Kato, Yanning Zhang","doi":"10.1109/GLOBECOM38437.2019.9013956","DOIUrl":"https://doi.org/10.1109/GLOBECOM38437.2019.9013956","url":null,"abstract":"In conventional terrestrial cellular networks, mobile devices at the cell edge often suffer from poor channel conditions, and thus unmanned aerial vehicles (UAVs) are introduced in recent years to improve the reliability of communication links. However, with the rapid development of Internet of Things (IoT) technology, the emerging IoT applications have blooming demands for high computation capacity from the resource-constrained IoT mobile devices (IMDs), motivated by which, mobile edge computing has been envisioned as an appealing solution to the resource bottleneck problem of IMDs. In order to cope with poor communication performance and high computation demands of cell-edge IMDs, we in this paper leverage UAV-aided edge computing to collaboratively assist computation offloading, taking account of the limited battery life of both IMDs and the UAV. We investigate a joint optimization problem of collaborative computation offloading, bandwidth portion, bit allocation, and UAV trajectory design, aiming to minimize the weighted energy consumption of IMDs and the UAV. Extensive numerical results validate the necessity of introducing UAV-aided edge computing to cellular networks, and the advantages of our proposed scheme on energy savings.","PeriodicalId":6868,"journal":{"name":"2019 IEEE Global Communications Conference (GLOBECOM)","volume":"23 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72862528","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