2019 International Conference on Computing, Networking and Communications (ICNC)最新文献_第5页

Distributed Mechanism for Computation Offloading Task Routing in Mobile Edge Cloud Network 移动边缘云网络中计算卸载任务路由的分布式机制

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685537

Lijun Dong, Richard Li

引用次数: 9

A Two-phase Transmission Protocol Design for Ultra-reliable Communications 一种超可靠通信的两相传输协议设计

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685522

Lanlin Li, Yinglei Teng, Mei Yan, Mei Song, Lihong Song

引用次数: 0

Improvement on Localization Accuracy of IR-UWB By Adapting Time Bias Inner Transceiver 自适应时偏内收发器提高IR-UWB定位精度

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685621

Huan-Bang Li, K. Takizawa, Toshinori Kagawa, F. Kojima, R. Miura

引用次数: 2

Performance Analysis of Raptor Code for Reconciliation in Continuous Variable Quantum Key Distribution 连续可变量子密钥分配中和解的Raptor代码性能分析

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685662

M. Asfaw, Xueqin Jiang, Meixiang Zhang, J. Hou, Wei Duan

引用次数: 5

Multi-objective Optimization of Joint Power Allocation and Splitting Control for SWIPT-enabled NOMA Systems 基于swift的NOMA系统联合功率分配与分裂控制多目标优化

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685620

Jie Tang, Yu Yu, D. So, Gaojie Chen, Xiuyin Zhang, Mo Huang

引用次数: 3

An Empirical Investigation of DDoS and Flash Event Detection Using Shannon Entropy, KOAD and SVM Combined 基于Shannon熵、KOAD和SVM的DDoS和Flash事件检测实证研究

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685632

Salva Daneshgadeh, Thomas Kemmerich, Tarem Ahmed, N. Baykal

{"title":"An Empirical Investigation of DDoS and Flash Event Detection Using Shannon Entropy, KOAD and SVM Combined","authors":"Salva Daneshgadeh, Thomas Kemmerich, Tarem Ahmed, N. Baykal","doi":"10.1109/ICCNC.2019.8685632","DOIUrl":"https://doi.org/10.1109/ICCNC.2019.8685632","url":null,"abstract":"In the world of internet and communication technologies where our personal and business lives are inextricably tied to internet enabled services and applications, Distributed Denial of Service (DDoS) attacks continue to adversely affect the availability of these services and applications. Many frameworks have been presented in academia and industry to predict, detect and defend against DDoS attacks. The available solutions try to protect online services from DDoS attacks, but as yet there is no best-practice method that is widely-accepted in the community. Differentiating DDoS attacks from similar looking legitimate Flash Events (FE) wherein huge numbers of legitimate users try to access a specific internet based service or application, is another challenging issue in the field. This paper proposes a novel hybrid DDoS and FE detection scheme taking three isolated approaches including Kernel Online Anomaly Detection (KOAD), Support Vector Machine (SVM) and Information Theory. We applied our proposed approach on simulated DDoS attacks, real FEs and normal network traffic. The results indicate that information theory works well in combination with machine learning algorithms to detect and discriminate DDoS and FE traffic in terms of both false positive and detection rates.","PeriodicalId":161815,"journal":{"name":"2019 International Conference on Computing, Networking and Communications (ICNC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125837590","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: 10

Towards Self-Defense of Non-Stationary Systems 关于非平稳系统的自防卫

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685487

Stefano Iannucci, Andrea Montemaggio, Byron Williams

引用次数: 4

Data Interpolation for Deep Learning based Encrypted Data Packet Classification 基于深度学习的加密数据包分类数据插值

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685570

Pan Wang, Yiqing Zhou, Feng Ye, Hao Yue

引用次数: 1

Device-Free Activity Recognition Using Ultra-Wideband Radios 使用超宽带无线电进行无设备活动识别

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685504

Sarthak Sharma, Hessam Mohammadmoradi, Milad Heydariaan, O. Gnawali

引用次数: 16

Computational Complexity Reduction of Receive Weight Matrices in Massive MIMO SC-FDF† 大规模MIMO SC-FDF中接收权矩阵计算复杂度降低

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685600

Kensei Saito, Y. Ogawa, T. Nishimura, T. Ohgane, J. Hagiwara

{"title":"Computational Complexity Reduction of Receive Weight Matrices in Massive MIMO SC-FDF†","authors":"Kensei Saito, Y. Ogawa, T. Nishimura, T. Ohgane, J. Hagiwara","doi":"10.1109/ICCNC.2019.8685600","DOIUrl":"https://doi.org/10.1109/ICCNC.2019.8685600","url":null,"abstract":"MIMO single-carrier frequency domain equalization (SC-FDE) can achieve high data-rate uplink transmission. We need, however, weight matrices for all the frequency points which separate spatially multiplexed signals and equalize channel distortion. In this paper, we deal with zero-forcing (ZF) matrices. To obtain them, we need matrix inverse calculations, and the computational complexity is heavy when the number of frequency points is large. It is possible to reduce the amount of calculations using an interpolation technique. We calculate ZF weight matrices for a part of frequency points, and for the remaining ones, we obtain the matrices by interpolation. This technique has been investigated for MIMO OFDM systems so far. In this paper, we consider computational complexity reduction for massive MIMO SC-FDE. We examine bit error rate (BER) performance of the linear and DFT interpolations. It is shown that the interpolation techniques achieve satisfactory BER with lower computational complexity. Also, we show that the ZF matrix is approximated by a maximum ratio combining (MRC) one in a massive MIMO case, and that the MRC matrix requires almost no computations and the degradation of the BER performance is small.","PeriodicalId":161815,"journal":{"name":"2019 International Conference on Computing, Networking and Communications (ICNC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127762384","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