2021 IEEE Conference on Dependable and Secure Computing (DSC)最新文献_第3页

Attribute-Based Searchable Encryption Scheme Supporting Efficient Range Search in Cloud Computing 支持云计算中有效范围搜索的基于属性的可搜索加密方案

2021 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2021-01-30 DOI: 10.1109/DSC49826.2021.9346237

Yuan Li, Haiyan Wang, Shulan Wang, Yong Ding

引用次数: 3

Efficient Subset Predicate Encryption for Internet of Things 面向物联网的高效子集谓词加密

2021 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2021-01-30 DOI: 10.1109/DSC49826.2021.9346245

Yi-Fan Tseng, Shih-Jie Gao

引用次数: 3

A Provable Data Possession Protocol in Cloud Storage Systems with Fault Tolerance 一种可证明的容错云存储系统数据占有协议

2021 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2021-01-30 DOI: 10.1109/DSC49826.2021.9346241

Kui Zhu, Yongjun Ren, Qingfeng Zhu

引用次数: 1

ExamChain: A Privacy-Preserving Onscreen Marking System based on Consortium Blockchain ExamChain:一个基于联盟区块链的保护隐私的屏幕阅卷系统

2021 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2021-01-30 DOI: 10.1109/DSC49826.2021.9346262

Haoyang An, Jiageng Chen

引用次数: 0

Using Generative Adversarial Networks for Data Augmentation in Android Malware Detection 基于生成对抗网络的Android恶意软件检测数据增强

2021 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2021-01-30 DOI: 10.1109/DSC49826.2021.9346277

Yi-Ming Chen, Chun-Hsien Yang, Guo-Chung Chen

{"title":"Using Generative Adversarial Networks for Data Augmentation in Android Malware Detection","authors":"Yi-Ming Chen, Chun-Hsien Yang, Guo-Chung Chen","doi":"10.1109/DSC49826.2021.9346277","DOIUrl":"https://doi.org/10.1109/DSC49826.2021.9346277","url":null,"abstract":"In the field of mobile malware detection, the problem of sample imbalance often occurs in the dataset, making the classifier unable to learn features through sufficient data during the training process. This research used the generative adversarial networks (GAN). In this paper, features of malwares are transformed into image expressions, and data is generated from a small number of malicious families to balance and expand the original dataset. We also compare other data augmentation techniques to explore whether they are beneficial to identify a small number of malicious samples. Experiments show that both traditional techniques and GAN can improve the accuracy of classification, but GAN can more effectively improve the classification model to detect that the dataset originally has a small number of datasets and the recognition accuracy is lower. The experimental results show that in the different datasets of 4,000 data in Drebin and 20,000 data in AMD, the types with a relatively small number of samples are augmented by the GAN. Compared with before and after data augmentation, the difference in F1-score accuracy can reach 5%~20%.","PeriodicalId":184504,"journal":{"name":"2021 IEEE Conference on Dependable and Secure Computing (DSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130212596","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: 13

Toward Blockchain-Enabled IoV with Edge Computing: Efficient and Privacy-Preserving Vehicular Communication and Dynamic Updating 基于边缘计算的基于区块链的车联网:高效且保护隐私的车辆通信和动态更新

2021 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2021-01-30 DOI: 10.1109/DSC49826.2021.9346240

Qian Mei, H. Xiong, Yanan Zhao, Kuo-Hui Yeh

{"title":"Toward Blockchain-Enabled IoV with Edge Computing: Efficient and Privacy-Preserving Vehicular Communication and Dynamic Updating","authors":"Qian Mei, H. Xiong, Yanan Zhao, Kuo-Hui Yeh","doi":"10.1109/DSC49826.2021.9346240","DOIUrl":"https://doi.org/10.1109/DSC49826.2021.9346240","url":null,"abstract":"By virtue of intelligent data processing and vehicular network, Internet of Vehicle (IoV) provides the transport system with real-time traffic information, which greatly improves the traffic conditions of the city. Moreover, to ease the computing and storage burden of the increasing number of the vehicle, edge computing is introduced to offload computing tasks on the local with low latency. But it still suffers from data integrity and privacy concerns. To meet these challenges, this paper proposes an efficient and conditional privacy-preserving authentication protocol using blockchain-enabled IoV with edge computing. Specifically, edge computing and consortium blockchains are combined to support efficient computation and storage capabilities with low communication delay while providing data auditability. Also, a pseudonym mechanism and identity-based signature are utilized to achieve identity privacy-preserving conditionally and messages authentication of vehicles, respectively. Moreover, for the dynamic change of vehicles, a clustering selection algorithm and a key updating algorithm based on Chinese remainder theorem are given, which guarantees the forward and backward security of transmission information. Security analysis and experiment evaluation with respect of communication and computation cost demonstrate the effectiveness of the proposed protocol.","PeriodicalId":184504,"journal":{"name":"2021 IEEE Conference on Dependable and Secure Computing (DSC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122535689","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: 8

Perpetual Secret Sharing from Dynamic Data Structures 动态数据结构的永久秘密共享

2021 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2021-01-30 DOI: 10.1109/DSC49826.2021.9346272

S. S. Chaudhury, Sabyasachi Dutta, K. Sakurai

引用次数: 0

Decentralized Data Aggregation: A New Secure Framework based on Lightweight Cryptographic Algorithms 分散式数据聚合:一种基于轻量级加密算法的新安全框架

2021 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2021-01-30 DOI: 10.1109/DSC49826.2021.9346260

Xin Xie, Yu-Chi Chen

引用次数: 5

Retrieving Input from Touch Interfaces via Acoustic Emanations 通过声发射从触摸界面检索输入

2021 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2021-01-30 DOI: 10.1109/DSC49826.2021.9346271

K. Teo, T. BalamuraliB., Jer-Ming Chen, Jianying Zhou

引用次数: 2

Generate Realistic Traffic Sign Image using Deep Convolutional Generative Adversarial Networks 使用深度卷积生成对抗网络生成逼真的交通标志图像

2021 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2021-01-30 DOI: 10.1109/DSC49826.2021.9346266

Yan-Ting Liu, R. Chen, Christine Dewi

引用次数: 1