2021 International Conference on Networking and Network Applications (NaNA)最新文献_第9页

Design of Binocular Stereo Vision System Via CNN-based Stereo Matching Algorithm 基于cnn立体匹配算法的双目立体视觉系统设计

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00080

Yan Jiao, P. Ho

引用次数: 1

Covert MIMO Communication in Two-hop Relay Systems 两跳中继系统中的隐蔽MIMO通信

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00019

Hengbing Zhu, Huihui Wu, Xiaohong Jiang

{"title":"Covert MIMO Communication in Two-hop Relay Systems","authors":"Hengbing Zhu, Huihui Wu, Xiaohong Jiang","doi":"10.1109/NaNA53684.2021.00019","DOIUrl":"https://doi.org/10.1109/NaNA53684.2021.00019","url":null,"abstract":"Covert communication can be traced back to secret information transmission technology. It aims to ensure that the transmitters and receivers establish reliable communication with a low probability detection by the warden in wireless communications. The scenario of this paper assumes a covert multiple-input-multiple-output (MIMO) communication in a two-hop relay system, in which a transmitter with multi-antenna sends covert messages to a multi-antenna receiver via a single-antenna half-duplex relay against the detection of a single-antenna warden. We first propose an antenna selection scheme to ensure the covertness of communications, where the transmitter and receiver use an optimally selected subset of antennas to transmit or receive the covert messages and the remaining antennas to generate artificial noise (AN). To depict the performance of covert transmission of the system, we analyze the average detection error probability and derive a closed-form expression. We further conduct theoretical covert throughput with a covertness constraint, and analysis to maximize it in the worst case of the system. Finally, the simulation results illustrate the impact of AN, the number of antennas as well as the transmission rate on the performance of this two-hop covert MIMO communication system.","PeriodicalId":414672,"journal":{"name":"2021 International Conference on Networking and Network Applications (NaNA)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125081098","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

Buffer-Aided Relay Selection for Wireless Cooperative Relay Networks with Untrusted Relays 具有不可信中继的无线协作中继网络的缓冲辅助中继选择

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00020

Cheng Zhang, Xuening Liao, Zhenqiang Wu, Guoyong Qiu

{"title":"Buffer-Aided Relay Selection for Wireless Cooperative Relay Networks with Untrusted Relays","authors":"Cheng Zhang, Xuening Liao, Zhenqiang Wu, Guoyong Qiu","doi":"10.1109/NaNA53684.2021.00020","DOIUrl":"https://doi.org/10.1109/NaNA53684.2021.00020","url":null,"abstract":"Wireless cooperative relay networks are widely used in various fields. Wireless channels are vulnerable to eavesdroppers because of the broadcast characteristics of wireless channels, the security problem of wireless cooperative relay networks needs to be solved urgently, and the trust level of relays is rarely considered in existing work. Therefore, the paper considers a wireless cooperative relay network with a passive eavesdropping node and untrusted relays and designs a trusted buffer-aided relay selection (TBARS) scheme based on the fact that the channel state information (CSI) of eavesdropping channel is hard to obtain. The paper uses the secrecy outage probability (SOP) to measure the security performance, derives the expression of the SOP based on Markov Process, and verify the feasibility of the TBARS scheme by simulations and analyzes the impact of various factors on the SOP of the TBARS scheme. Finally, the paper compares the TBARS scheme with max-link scheme in terms of the SOP, and the simulations demonstrate that the proposed scheme outperforms the other schemes.","PeriodicalId":414672,"journal":{"name":"2021 International Conference on Networking and Network Applications (NaNA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116392921","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: 2

The Cooperative Authentication Mechanism and Performance Evaluation for Unmanned Systems 无人系统协同认证机制与性能评估

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00043

Yue Zhao, Yarang Yang, Yiru Niu, Dongyu Yang, Bo Tian, Yao Hao, Kaijun Wu

引用次数: 1

Dyn-GCN: Graph Embedding via Dynamic Evolution and Graph Convolutional Network for Personal Recommendation 基于动态进化和图卷积网络的个人推荐图嵌入

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00077

Zhihui Wang, Jianrui Chen, Peijie Wang, Tingting Zhu

{"title":"Dyn-GCN: Graph Embedding via Dynamic Evolution and Graph Convolutional Network for Personal Recommendation","authors":"Zhihui Wang, Jianrui Chen, Peijie Wang, Tingting Zhu","doi":"10.1109/NaNA53684.2021.00077","DOIUrl":"https://doi.org/10.1109/NaNA53684.2021.00077","url":null,"abstract":"Graph convolutional network (GCN) and dynamic evolutionary model are the mainstream collaborative filtering technologies in recent years. Nevertheless, the initial feature vectors selection problem of the existing recommendation algorithms based on dynamic evolutionary models leads to unstable recommendation accuracy. In addition, the collaborative filtering method of GCN does not take into account the dynamic evolution law of graph networks. Based on this, this research adopts GCN to train the initial embedding of the dynamic evolution model to perform collaborative filtering recommendation. First of all, a heterogeneous graph network is constructed by applying explicit feedback information (rating scores) of users. Secondly, the embedding of users and items are propagated through the dynamic evolution model. Then, the final embedding is obtained by weighting the embedding of each layer, and the scores are predicted. Finally, according to the Adam optimizer, the initial embedding of the dynamic evolution model is trained in the form of mini-batch to minimize the loss function. Experimental results show that the proposed algorithm is superior to several compared excellent algorithms in recommendation performance.","PeriodicalId":414672,"journal":{"name":"2021 International Conference on Networking and Network Applications (NaNA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127568859","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

Novel Firewall Application for Mitigating Flooding Attacks on an SDN Network 缓解SDN网络泛洪攻击的新型防火墙应用

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00084

Yubaraj Gautam, Kazuhiko Sato, B. P. Gautam, N. Shiratori

{"title":"Novel Firewall Application for Mitigating Flooding Attacks on an SDN Network","authors":"Yubaraj Gautam, Kazuhiko Sato, B. P. Gautam, N. Shiratori","doi":"10.1109/NaNA53684.2021.00084","DOIUrl":"https://doi.org/10.1109/NaNA53684.2021.00084","url":null,"abstract":"A software-defined network (SDN) is an emerging network technology that can augment the data plane with a control plane using programming techniques. However, there are certain security challenges that must be addressed to achieve secure communication. Flooding attacks have been one of the most common threats on the internet since the last decade. They have become a challenge for SDNs as well. To address this issue, we have proposed a novel firewall application, which has been developed based on multiple stages of the packet filtering technique, and provide layer-based security and a flood attack prevention system. The proposed application mainly comprises two security entities—one provides layer-based security, while the other has been designed specifically for preventing and mitigating flooding attacks. The layer-based packet filtering technique, which has been applied in the proposed system, filters all types of unwanted packets using the layer (layers 2, 3, and 4)-based packet header entity. Meanwhile, the flooding attack prevention system functions by counting the number of packets and their sizes. The proposed solution was tested for different attack scenarios; it was able to prevent 74.12% of flooding attacks, while conducting flooding attacks in SDN.","PeriodicalId":414672,"journal":{"name":"2021 International Conference on Networking and Network Applications (NaNA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126317039","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

Privacy-Preserving Federated Generative Adversarial Network for IoT 保护隐私的物联网联邦生成对抗网络

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00021

Hui Wang, Yani Han, Shaojing Yang, Anxiao Song, Tao Zhang

引用次数: 1