2019 IEEE International Symposium on Measurements & Networking (M&N)最新文献_第7页

Raster Scan Multi-Frequency Near-Field Antenna Characterization 光栅扫描多频近场天线特性

2019 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2019-07-01 DOI: 10.1109/IWMN.2019.8805041

A. Capozzoli, C. Curcio, A. Liseno

引用次数: 0

M&N 2019 TOC M&N 2019 TOC

2019 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2019-07-01 DOI: 10.1109/iwmn.2019.8804988

引用次数: 0

Detecting cryptocurrency miners with NetFlow/IPFIX network measurements 使用NetFlow/IPFIX网络测量检测加密货币矿工

2019 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2019-07-01 DOI: 10.1109/IWMN.2019.8804995

Jordi Zayuelas i Muñoz, J. Suárez-Varela, P. Barlet-Ros

{"title":"Detecting cryptocurrency miners with NetFlow/IPFIX network measurements","authors":"Jordi Zayuelas i Muñoz, J. Suárez-Varela, P. Barlet-Ros","doi":"10.1109/IWMN.2019.8804995","DOIUrl":"https://doi.org/10.1109/IWMN.2019.8804995","url":null,"abstract":"In the last few years, cryptocurrency mining has become more and more important on the Internet activity and nowadays is even having a noticeable impact on the global economy. This has motivated the emergence of a new malicious activity called cryptojacking, which consists of compromising other machines connected to the Internet and leverage their resources to mine cryptocurrencies. In this context, it is of particular interest for network administrators to detect possible cryptocurrency miners using network resources without permission. Currently, it is possible to detect them using IP address lists from known mining pools, processing information from DNS traffic, or directly performing Deep Packet Inspection (DPI) over all the traffic. However, all these methods are still ineffective to detect miners using unknown mining servers or result too expensive to be deployed in real-world networks with large traffic volume. In this paper, we present a machine learning-based method able to detect cryptocurrency miners using NetFlow/IPFIX network measurements. Our method does not require to inspect the packets’ payload; as a result, it achieves cost-efficient miner detection with similar accuracy than DPI-based techniques.","PeriodicalId":272577,"journal":{"name":"2019 IEEE International Symposium on Measurements & Networking (M&N)","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122816092","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: 25

LoRa Evaluation in Mobility Conditions for a Connected Smart Shoe Measuring Physical Activity 测量身体活动的智能鞋在移动条件下的LoRa评估

2019 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2019-07-01 DOI: 10.1109/IWMN.2019.8805037

S. Spinsante, A. Poli, S. Pirani, L. Gioacchini

引用次数: 3

The Combined use of Measurements and Simulations for the Low-Uncertainty Characterization of a Reference Source of Electromagnetic Field 电磁场参考源低不确定度特性的测量与模拟相结合

2019 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2019-07-01 DOI: 10.1109/IWMN.2019.8805032

C. Carobbi, Andrea Guagagnoli

引用次数: 2

Smart Nonlinear Energy Harvesting 智能非线性能量收集

2019 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2019-07-01 DOI: 10.1109/IWMN.2019.8805043

C. Trigona, B. Andò, S. Baglio

{"title":"Smart Nonlinear Energy Harvesting","authors":"C. Trigona, B. Andò, S. Baglio","doi":"10.1109/IWMN.2019.8805043","DOIUrl":"https://doi.org/10.1109/IWMN.2019.8805043","url":null,"abstract":"The possibility to take advantage of external and not deterministic vibrations is of great interest in the modern research including sensing elements and transducers. In particular piezoelectric transducers arouse interest in the international community with particular emphasis in the area of measurements and metrology; in fact the literature presents several examples of transducers based on piezoelectric materials but, very often, focusing the attention on a specific prototype able to save energy by using the active material (transducer for energy harvesting) or suitable to perform measurements (sensor) and to transmit the data by using an active circuit. Authors already addressed the idea of smart harvesting where the kinetic energy coming from the environment can be used as input source of a piezoelectric transducer which is able to harvest the vibrational energy, to perform measures of vibrations and, at the same time, it is also suitable to transmit data through an optical system without the adoption of active conditioning architectures. In this paper a suitable nonlinear configuration will be investigated in order to demonstrate its advantage in presence of wideband mechanical energy. Comparison as respect linear oscillator will be here conducted and an experimental campaign will confirm the suitability of the proposed method.","PeriodicalId":272577,"journal":{"name":"2019 IEEE International Symposium on Measurements & Networking (M&N)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127969917","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

Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories 基于卷积长短期记忆的多业务移动流量预测

2019 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2019-05-23 DOI: 10.1109/IWMN.2019.8804984

Chaoyun Zhang, M. Fiore, P. Patras

{"title":"Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories","authors":"Chaoyun Zhang, M. Fiore, P. Patras","doi":"10.1109/IWMN.2019.8804984","DOIUrl":"https://doi.org/10.1109/IWMN.2019.8804984","url":null,"abstract":"Network slicing is increasingly used to partition network infrastructure between different mobile services. Precise service-wise mobile traffic forecasting becomes essential in this context, as mobile operators seek to pre-allocate resources to each slice in advance, to meet the distinct requirements of individual services. This paper attacks the problem of multi-service mobile traffic forecasting using a sequence-to-sequence (S2S) learning paradigm and convolutional long short-term memories (ConvL-STMs). The proposed architecture is designed so as to effectively extract complex spatiotemporal features of mobile network traffic and predict with high accuracy the future demands for individual services at city scale. We conduct experiments on a mobile traffic dataset collected in a large European metropolis, demonstrating that the proposed S2S-ConvLSTM can forecast the mobile traffic volume produced by tens of different services in advance of up to one hour, by just using measurements taken during the past hour. In particular, our solution achieves mean absolute errors (MAE) at antenna level that are below 13KBps, outperforming other deep learning approaches by up to 31.2%.","PeriodicalId":272577,"journal":{"name":"2019 IEEE International Symposium on Measurements & Networking (M&N)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115679458","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: 23