2021 International Conference on Networking and Network Applications (NaNA)最新文献

Online Scheduling of Machine Learning Jobs in Edge-Cloud Networks 边缘云网络中机器学习作业的在线调度

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00031

Jingping She, Ne Wang, Ruiting Zhou, Chen Tian

{"title":"Online Scheduling of Machine Learning Jobs in Edge-Cloud Networks","authors":"Jingping She, Ne Wang, Ruiting Zhou, Chen Tian","doi":"10.1109/NaNA53684.2021.00031","DOIUrl":"https://doi.org/10.1109/NaNA53684.2021.00031","url":null,"abstract":"Compared with traditional cloud computing, edge-cloud computing brings many benefits, such as low latency, low bandwidth cost, and high security. Thanks to these advantages, a large number of distributed machine learning (ML) jobs are trained on the edge-cloud network to support smart applications, adopting the parameter server (PS) architecture. The scheduling of such ML jobs needs to consider different data transmission delay and frequent communication between workers and PSs, which brings a fundamental challenge: how to deploy workers and PSs on edge-cloud networks for ML jobs to minimize the average job completion time. To solve this problem, we propose an online scheduling framework to determine the location and execution time window for each job upon its arrival. Our algorithm includes: (i) an online scheduling framework that groups unprocessed ML jobs iteratively into multiple batches; (ii) a batch scheduling algorithm that maximizes the number of scheduled jobs in the current batch; (iii) two greedy algorithms that deploy workers and PSs to minimize the deployment cost. Large-scale and trace-driven simulations show that our algorithm is superior to the most common and advanced schedulers in today’s cloud systems.","PeriodicalId":414672,"journal":{"name":"2021 International Conference on Networking and Network Applications (NaNA)","volume":"61 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":"114996857","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

NLEU: A Semantic-based Taint Analysis for Vetting Apps in Android NLEU:基于语义的Android应用程序污点分析

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00063

Yuanqing Liu, Ning Xi, Yongbo Zhi

{"title":"NLEU: A Semantic-based Taint Analysis for Vetting Apps in Android","authors":"Yuanqing Liu, Ning Xi, Yongbo Zhi","doi":"10.1109/NaNA53684.2021.00063","DOIUrl":"https://doi.org/10.1109/NaNA53684.2021.00063","url":null,"abstract":"Due to the widespread of Android apps in our daily life, vulnerable or malicious apps have become two major threats on clients’ privacy. Taint analysis is one of the most widely used approach for detecting information leakage by tracking sensitive flows through the apps in accord with specific taint propagation rules and predefined sensitive sources and sinks. However, most existing static taint analysis tools, including FlowDroid, IccTA, etc., neglect the semantics of detected flows, especially for conditional branch in apps, which may cause a precision loss in practical environment. In this paper, we propose NLEU, a semantic-based taint analysis approach to improve the precision of traditional flow tracking techniques, which introduce a new dimension of information, i.e., the program’s semantics, for vetting Android apps. At the same time, NLEU can eliminate the insensitive flows of flow tracking techniques. The NLP techniques are adopted to extract the program semantics from codes and their comments. Through the experiments and evaluations, the result show that NLEU can improve the overall performance effectively compared with the traditional tools.","PeriodicalId":414672,"journal":{"name":"2021 International Conference on Networking and Network Applications (NaNA)","volume":"28 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":"127244270","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

Transmission Characteristics of Photonic Crystal Fiber Filled with Magnetic Fluid 磁流体填充光子晶体光纤的传输特性

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00050

Wen Wang, Yuejuan Liu, Shikai Shen

引用次数: 0

Characterizing and Improving the Probability of Correct Phase Ambiguity Resolution for Uniform Circular Array Phase Interferometers 均匀圆阵相位干涉仪相位模糊度正确分辨概率的表征与改进

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00094

Mingyi You, Binhua Shi, Yunxia Ye, Kai Huang

引用次数: 0

A Driving Risk Prediction Approach Based on Generative Adversarial Networks and VANET for Autonomous Trams 基于生成对抗网络和VANET的自动有轨电车驾驶风险预测方法

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00096

Wenjiang Ji, Jiangcheng Yang, Yichuan Wang, Lei Zhu, Yuan Qiu, Xinhong Hei

引用次数: 0

Covert Authentication at the Physical Layer 在物理层隐蔽身份验证

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00015

Xufei Li, Shuiguang Zeng, Yangyang Liu

{"title":"Covert Authentication at the Physical Layer","authors":"Xufei Li, Shuiguang Zeng, Yangyang Liu","doi":"10.1109/NaNA53684.2021.00015","DOIUrl":"https://doi.org/10.1109/NaNA53684.2021.00015","url":null,"abstract":"The open nature of wireless communication makes it facing variable interferences, the one by malicious attackers can be more harmful since they can choose worthful messages to interfere for benefit maximization. Such targeted messages generally require comprehensive protection by variable security mechanisms, which improve security in some sense as well as the risk of being selective attacked. One is the authentication mechanism that guarantees authenticity but suffers from length detection since the common authentication is conducted by appending digital signature bits to message. Due to this disadvantage, in this paper, we consider embedding the digital signature into the message at the physical layer, which is difficult to be sensed by attackers. Unlike the previous radio frequency (RF) watermark technique that adds low-power authentication tag symbols to base message symbols, while performing obvious constellation characteristics that still can be detected, to make the authentication tag non-perceptible to attackers, we propose to use Trellis coded modulation (TCM) in the embedding process to prevent constellation characteristics based detection. The accuracy of such an authentication scheme and its effect on the based messages are demonstrated by simulations. Simulation results show that the proposed method can greatly provide covert authentication while satisfying good authentication accuracy.","PeriodicalId":414672,"journal":{"name":"2021 International Conference on Networking and Network Applications (NaNA)","volume":"40 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":"121355232","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

An efficient authentication scheme based on Zero Trust for UAV swarm 基于零信任的高效无人机群认证方案

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00068

Dongyu Yang, Yue Zhao, Kaijun Wu, Xiaoyu Guo, Haiyang Peng

{"title":"An efficient authentication scheme based on Zero Trust for UAV swarm","authors":"Dongyu Yang, Yue Zhao, Kaijun Wu, Xiaoyu Guo, Haiyang Peng","doi":"10.1109/NaNA53684.2021.00068","DOIUrl":"https://doi.org/10.1109/NaNA53684.2021.00068","url":null,"abstract":"In recent years, the concept of UAV (Unmanned Aerial Vehicle) swarm has been proposed and developed, which effectively solves the shortcomings of relatively small payload and relatively weak information perception processing capability in a single UAV operation. The research and application of UAV swarm technology has become an important direction of the development of UAV technology. UAV swarm not only can effectively improve the load capacity and information processing capacity through close cooperation between single UAV, but also has a high “self-healing” ability and strong robustness. However, due to the limited computing resources and complex external environment of UAVs, UAV swarm are vulnerable to forgery attacks, man-in-the-middle attacks and reply attacks. It is necessary to establish an authentication scheme to ensure the legitimate and reliable identity of UAVs for data exchange and sharing. However, traditional authentication schemes based on username, password or dynamic key have lower security levels, while RSA authentication requires a long session key and cannot meet the lightweight requirements in an UAV swarm. Based on the analysis and summary of existing authentication technologies and the special requirements of UAV swarm for cyber security, this paper puts forward an authentication scheme based on Zero Trust, achieves rapid authentication of UAV swarm in data exchange and sharing, and strengthens its ability to respond to cyber attacks.","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":"132529490","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

Deep Learning for GPS Spoofing Detection in Cellular-Enabled UAV Systems 基于深度学习的蜂窝无人机系统GPS欺骗检测

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00093

Yongchao Dang, Chafika Benzaïd, Bin Yang, T. Taleb

引用次数: 4

Heterogeneous Network Embedding With Enhanced Event Awareness Via Triplet Network 基于三重网络增强事件感知的异构网络嵌入

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00047

Zhi Qiao, Bo Liu, Bo Tian, Yu Liu

{"title":"Heterogeneous Network Embedding With Enhanced Event Awareness Via Triplet Network","authors":"Zhi Qiao, Bo Liu, Bo Tian, Yu Liu","doi":"10.1109/NaNA53684.2021.00047","DOIUrl":"https://doi.org/10.1109/NaNA53684.2021.00047","url":null,"abstract":"Network analysis is an unavoidable topic in data mining today, and network embedding is an important means to help solve network analysis. With the increasing of network data volume, the content is increasingly complicated, the embedding scenario of homogeneous graph has been gradually replaced by heterogeneous graph. More and more embedding algorithms for heterogeneous graphs are proposed. Heterogeneous network can naturally integrate different aspects of information, so heterogeneous network embedding is a relatively effective method to solve the diversity of big data. It is helpful in the areas of anomaly detection, user clustering and intent recommendation. Here we propose a Siamese Neural Network optimization method based on event relations and meta graphs. This method ensures the semantic integrity and event integrity of heterogeneous graphs by using events and meta graphs respectively. Then put the graph information in Triplet Network for training, and the embedding results are produced. A classification task on a dataset for the true network are designed to prove the method. A real network data set classification task is designed to prove that this method is helpful for heterogeneous graph analysis.","PeriodicalId":414672,"journal":{"name":"2021 International Conference on Networking and Network Applications (NaNA)","volume":"52 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":"117353427","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

Chinese named entity recognition method for the field of network security based on RoBERTa 基于RoBERTa的网络安全领域中文命名实体识别方法

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00079

Xiaoyan Zhu, Y. Zhang, Lei Zhu, Xinhong Hei, Yichuan Wang, Feixiong Hu, Yanni Yao

{"title":"Chinese named entity recognition method for the field of network security based on RoBERTa","authors":"Xiaoyan Zhu, Y. Zhang, Lei Zhu, Xinhong Hei, Yichuan Wang, Feixiong Hu, Yanni Yao","doi":"10.1109/NaNA53684.2021.00079","DOIUrl":"https://doi.org/10.1109/NaNA53684.2021.00079","url":null,"abstract":"As the mobile Internet is developing rapidly, people who use cell phones to access the Internet dominate, and the mobile Internet has changed the development environment of online public opinion and made online public opinion events spread more widely. In the online environment, any kind of public issues may become a trigger for the generation of public opinion and thus need to be controlled for network supervision. The method in this paper can identify entities from the event texts obtained from mobile Today's Headlines, People's Daily, etc., and informatize security of public opinion in event instances, thus strengthening network supervision and control in mobile, and providing sufficient support for national security event management. In this paper, we present a SW-BiLSTM-CRF model, as well as a model combining the RoBERTa pre-trained model with the classical neural network BiLSTM model. Our experiments show that this approach provided achieves quite good results on Chinese emergency corpus, with accuracy and F1 values of 87.21% and 78.78%, respectively.","PeriodicalId":414672,"journal":{"name":"2021 International Conference on Networking and Network Applications (NaNA)","volume":"1 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":"129873504","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