2021 International Conference on Networking and Network Applications (NaNA)最新文献_第5页

Performance Analysis for Dual-Hop Covert Communication System with Outdated CSI 基于过时CSI的双跳隐蔽通信系统性能分析

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00042

Jiaqing Bai, Ji He, Xiaohong Jiang, Lijun Chen

引用次数: 2

An Improved Method of Median Filtering Forensics for Enhanced Image Security Detection 一种用于增强图像安全检测的改进中值滤波取证方法

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00060

Kaijun Wu, Wanli Dong, Yunfei Cao, Xue Wang, Qi Zhao

{"title":"An Improved Method of Median Filtering Forensics for Enhanced Image Security Detection","authors":"Kaijun Wu, Wanli Dong, Yunfei Cao, Xue Wang, Qi Zhao","doi":"10.1109/NaNA53684.2021.00060","DOIUrl":"https://doi.org/10.1109/NaNA53684.2021.00060","url":null,"abstract":"With the development of image processing technology, the forgers usually use median filtering to make their fakes appear more realistic because median filtering is a non-linear digital filtering technique which can preserve edges and smooth regions within an image. Therefore, the use of median forensics technology to identify the authenticity of images and ensure the security of image data has attracted everyone’s attention. However, how to effectively detect the median filter of high JPEG compressed small-size images is still a challenge in median filter forensics. In this paper, we proposed a framework based on deep residual learning to address this challenge. Specifically, a new convolutional neural network called MFFNet was constructed. In the first step, in order to extract the features left by the median filter, we innovatively designed a preprocessing layer containing various residuals to capture different median filter artifacts. Then, we elaborately designed a MFFNet to self-learn rich hierarchical features left in the highly JPEG compressed image for further classification. In order to prevent the over-fitting problem of the deep network, we adopted a series of enhancement schemes in the training stage to enrich the diversity of training data and obtain a more generateable and stable median filter detector. A large number of experimental results on the composite database show that the proposed framework significantly improves the detection performance compared to the latest methods for detecting highly small size image with JPEG compression.","PeriodicalId":414672,"journal":{"name":"2021 International Conference on Networking and Network Applications (NaNA)","volume":"23 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":"126762655","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

The Nearest Neighbor Algorithm for Balanced and Connected k-Center Problem under Modular Distance 模距离下平衡连通k中心问题的最近邻算法

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00073

Rui Li, Zilan Yang

引用次数: 0

A New Symmetric Information Hiding Scheme Based on Cover Randomness 一种新的基于覆盖随机性的对称信息隐藏方案

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00058

Fang Ren, Mingyu Yu, Haiyan Xiu, W. Hou

引用次数: 0

Privacy protection scheme for edge computing based on function encryption 基于函数加密的边缘计算隐私保护方案

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00030

Yuanhang He, Lei Chen, Yi-Tao Ni, Yuyao Wang, Jiangtao Li, Yufeng Li

{"title":"Privacy protection scheme for edge computing based on function encryption","authors":"Yuanhang He, Lei Chen, Yi-Tao Ni, Yuyao Wang, Jiangtao Li, Yufeng Li","doi":"10.1109/NaNA53684.2021.00030","DOIUrl":"https://doi.org/10.1109/NaNA53684.2021.00030","url":null,"abstract":"In the response to COVID-19, the big data can achieve a new data application mode with reduced manpower and material costs, which will help the government understand the supply and demand status of medical supplies and make precise decisions to ensure the supply of materials and prevent the spread of the epidemic. However, in the medical big data solution based on cloud computing, the user data storage and computing process are all carried out in the cloud, the risk of medical data is increasingly exposed, and the privacy protection of medical data is worrying. Edge computing makes data privacy protection more operational. Because the data collection and calculation are based on the local, and no longer need to be transmitted to the cloud, some important information, especially sensitive information, cannot be transmitted through the network, effectively solving the problem of user privacy leakage and data security. Function encryption provides data with a very flexible method that meets data confidentiality and effective access control. So based on function encryption, this paper proposes a privacy protection scheme under the edge computing paradigm, introduce the data interaction process for the scheme and demonstrates the privacy protection ability and computing efficiency of the scheme in the main scenario of smart medical care.","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":"116357827","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

Privacy-Preserving and Efficient Range Counting in IoT Networks 物联网网络中的隐私保护和有效范围计数

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00091

Ruiyang Qin, Bowen Deng, Lele Zheng, Xutong Mu

引用次数: 0

Research on A Vulnerability Detection Technology for Network Topology Security 一种网络拓扑安全漏洞检测技术研究

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00064

Jianxin Ji, Chunli Xia, Tong Zhang, Yichuan Wang, Sheng Liu

{"title":"Research on A Vulnerability Detection Technology for Network Topology Security","authors":"Jianxin Ji, Chunli Xia, Tong Zhang, Yichuan Wang, Sheng Liu","doi":"10.1109/NaNA53684.2021.00064","DOIUrl":"https://doi.org/10.1109/NaNA53684.2021.00064","url":null,"abstract":"Vulnerability detection plays an important role in topology network security. Topology network application scope, users, and transmit the data type of the change, the increasing of the existing vulnerability detection in the process of diversification of data transmission, positioning fuzzy vulnerability detection, error messages are not clear, it is difficult to positioning and eliminate network fault in time. For this, put forward topology network multiplexer output port complex data mutation vulnerability detection. Based on topology network multiplexer output port complex data priority extraction, according to build complex data mutation scanning module and loopholes in the database are defined in the holes details to complete the multiplexer output port complex data mutation detection process. Simulation experiments show that the topology of the network multiplexer output port complex data mutation vulnerability detecting system that can effectively save the data in time. Make vulnerability detection accuracy greatly improved, provides the stability and security of the topology network security.","PeriodicalId":414672,"journal":{"name":"2021 International Conference on Networking and Network Applications (NaNA)","volume":"60 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":"116263322","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

Improved Anonymous Hybrid Authentication Scheme for Body Area Network Utilizing Channel Characteristics 基于信道特性的改进体域网络匿名混合认证方案

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00022

M. Umar, Xuening Liao, Jiawang Chen

{"title":"Improved Anonymous Hybrid Authentication Scheme for Body Area Network Utilizing Channel Characteristics","authors":"M. Umar, Xuening Liao, Jiawang Chen","doi":"10.1109/NaNA53684.2021.00022","DOIUrl":"https://doi.org/10.1109/NaNA53684.2021.00022","url":null,"abstract":"Although wireless body network (WBAN) plays a vital role in revolutionizing healthcare delivery, it has also brought security concerns due to the sensitive nature of the patients’ biomedical data being measured by the sensors in the network. Thus, authentication is essential for the safety of the patients in WBAN. Recently, Koya and Deepthi proposed an anonymous hybrid authentication scheme using a physiological signal to fix the security limitations of the existing anonymous authentication approaches in WBAN. However, their scheme lacks forward secrecy and requires that additional sensing hardware be attached to each sensor in WBAN, which is not only cost-prohibitive, but can lead to compatibility issues with legacy systems. To overcome these limitations, we propose an improved anonymous hybrid authentication scheme using physical layer (PHY) channel characteristics. The key idea in the proposed scheme is to replace the physiological signal used in the Koya and Deepthi scheme with a received signal strength (RSS) information already available in the wearable devices in WBAN as an identity identifier. We conduct security analysis to show the security strength of our approach and performance analysis to prove its computational efficiency. Moreover, we conduct experiments on human volunteers in indoor and outdoor locations to show the robustness of the proposed approach. The results demonstrate that our scheme can provide anonymous authentication and identify 90% of attack attempts in WBAN with less computation cost and without any additional sensing hardware.","PeriodicalId":414672,"journal":{"name":"2021 International Conference on Networking and Network Applications (NaNA)","volume":"119 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":"123470310","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

Cryptanalysis of Double-trapdoor Hash Function and Multi-Trapdoor Hash Function Schemes 双陷阱门哈希函数和多陷阱门哈希函数方案的密码分析

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00055

Xu An Wang, Yunxuan Su, Jindan Zhang

引用次数: 0

Tetris: Near-optimal Scheduling for Multi-path Deadline-aware Transport Protocol 俄罗斯方块:多路径截止时间感知传输协议的近最优调度

2021 International Conference on Networking and Network Applications (NaNA) Pub Date : 2021-10-01 DOI: 10.1109/NaNA53684.2021.00014

Yanwen Liu, Wei Su, Lizhuang Tan

引用次数: 2