2020 IEEE International Conference on Smart Internet of Things (SmartIoT)最新文献_第5页

Research of Power Energy Management Control Strategy with IOT in NZEB NZEB基于物联网的电力能源管理控制策略研究

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00057

Qingguang Yu, Zhicheng Jiang, Yuming Liu, G. Long

引用次数: 3

Theoretical Modelling of Smart Meter Privacy Protection with Multi-meter Energy Routing 基于多表能量路由的智能电表隐私保护理论建模

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00029

Cankut Ergen, B. Gulbahar

{"title":"Theoretical Modelling of Smart Meter Privacy Protection with Multi-meter Energy Routing","authors":"Cankut Ergen, B. Gulbahar","doi":"10.1109/SmartIoT49966.2020.00029","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00029","url":null,"abstract":"Potential of intrusion during smart meter data collection is an important problem for household privacy in next-generation smart homes. There are various privacy protection methods such as hiding the real usage with renewable batteries (RBs) and encrypted communication. There are privacy threats due to the detection of the energy transfer through RBs while encryption-based methods result in high computational complexity. In this study, a novel privacy improvement mechanism is proposed based on the routing of energy through multiple smart meters among multiple houses in a neighborhood. The optimization of privacy based on uniform randomization is theoretically modeled and some heuristic solutions are presented. In this method, energy transfer is randomly distributed among multiple smart meters, real usage of a house is buffered with the RB and smart meter indices are randomly selected. In numerical simulations, privacy improvement is shown by utilizing the random selection of smart meter indices for randomizing the energy routing and the buffers of RBs. Furthermore, energy privacy (EP) metric validating the simulation results is defined. Energy routing with multiple smart meters provides a practical and low complexity privacy protection mechanism for next-generation smart grid architectures.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122474073","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

Quantitative Study on Impact of Node Selfishness on Performance of MANETs 节点自利对manet性能影响的定量研究

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00011

Axida Shan, Xiumei Fan, Xinghui Zhang

引用次数: 5

Analysis of Resource Allocation Overheads in Vehicle Ad Hoc Network Considering CSI 考虑CSI的车载自组网资源分配开销分析

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00058

M. Ao, Xin Zhang

引用次数: 3

An Automatic Key-update Mechanism for M2M Communication and IoT Security Enhancement 一种M2M通信和物联网安全的自动密钥更新机制

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00067

Weng-Chung Tsai, Tzu-Hsuan Tsai, Guang-Hao Xiao, Te-Jen Wang, Yu-Ruei Lian, Song-Hao Huang

引用次数: 2

A Hybrid Approach for Intrusive Appliance Load Monitoring in Smart Home 智能家居中侵入式电器负荷监测的混合方法

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00031

V. K. Nguyen, Minh-Hieu Phan, W. Zhang, Quan Z. Sheng, T. D. Vo

{"title":"A Hybrid Approach for Intrusive Appliance Load Monitoring in Smart Home","authors":"V. K. Nguyen, Minh-Hieu Phan, W. Zhang, Quan Z. Sheng, T. D. Vo","doi":"10.1109/SmartIoT49966.2020.00031","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00031","url":null,"abstract":"Appliance Load Monitoring (ALM) has become a crucial task in energy sector since the residential loads have been ever-increasing in the recent years. Several studies have been undertaken to monitor energy consumption of household appliances while also analyze the power data to obtain more useful insights of consumers’ behaviors. The remaining challenge of the recent approaches is automatic appliance recognition. In this work, we propose a novel hybrid method which includes two main processes, namely the feature importance process and the appliance identification process. In the first phase, feature importance process extracts the temporal trends. We then replace the classification layer of Convolutional Neural Network (CNN) by the SVM classifier; thereby achieving a set of important features which is data input for the next phase. After that, we set the CNN’s weights based on the analyzed feature importance of SVM, instead of initializing weights randomly. As a result, the proposed method of this study outperformed other approaches with more than 90% for both of accuracy and macro F1-score.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132004185","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

SmartIoT 2020 Commentary

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/smartiot49966.2020.00002

引用次数: 0

Performance Evaluation and Optimisation for Kyber on the MULTOS IoT Trust-Anchor 基于MULTOS物联网信任锚的Kyber性能评估与优化

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00010

K. Mayes

{"title":"Performance Evaluation and Optimisation for Kyber on the MULTOS IoT Trust-Anchor","authors":"K. Mayes","doi":"10.1109/SmartIoT49966.2020.00010","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00010","url":null,"abstract":"The Internet of Things (IoT) may be considered as a distributed, critical infrastructure, consisting of billions of devices, many of which having limited processing capability. However, the security of IoT must not be compromised by these limitations, and defenses need to protect against today's threats, and those predicted for the future. This requires protection against implementation attacks, as well as the ability to load, replace and run, best-practice cryptographic algorithms. Post-Quantum cryptographic algorithms are attracting great interest, and NIST standardization has a competition to find the best. Prior research demonstrated that a Learning With Errors candidate algorithm could be implemented on a smart card chip, however this was a low-level implementation, and not representative of loading the algorithm onto a secured IoT chip platform. In this paper we present analysis from a practical implementation of the Kyber768 CPAPKE public key encryption component on a MULTOS IoT Trust-Anchor chip. The investigation considered memory and speed requirements, and optimizations, and compared the NTT transform version of Kyber, presented in Round 1 of the NIST competition, with the Kroenecker multiplier technique that exploits a hardware crypto-coprocessor. The work began with a generic multi-round multiplier approach, which was then improved using a novel modification of the input data, allowing a built-in modular multiply function to be used, significantly increasing the speed of a multiplication round, and doubling the useable size of the hardware multiplier.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116697432","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

Fork Probability Analysis of PoUW Consensus Mechanism pow共识机制的分叉概率分析

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00060

Zhijie Ma, Qinglin Zhao, Jianwen Yuan, Xiaobo Zhou, Li Feng

引用次数: 3

Link Prediction Based on Information Preference Connection for Directed Network 基于信息偏好连接的有向网络链路预测

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00035

Xuelei Zhao, Xinsheng Ji, Shuxin Liu, Zanyuan He

引用次数: 1