IoTDI 2017 : 2017 IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation : proceedings : 18-20 April 2017, Pittsburgh, Pennsylvania, USA. IoTDI (Conference) (2nd : 2017 : Pittsburgh, Pa.)最新文献

筛选
英文 中文
Frontmatter
{"title":"Frontmatter","authors":"","doi":"10.1515/9783110726084-fm","DOIUrl":"https://doi.org/10.1515/9783110726084-fm","url":null,"abstract":"","PeriodicalId":92227,"journal":{"name":"IoTDI 2017 : 2017 IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation : proceedings : 18-20 April 2017, Pittsburgh, Pennsylvania, USA. IoTDI (Conference) (2nd : 2017 : Pittsburgh, Pa.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91228249","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
IoTDI '21: International Conference on Internet-of-Things Design and Implementation, Virtual Event / Charlottesville, VA, USA, May 18-21, 2021 21:物联网设计与实现国际会议,虚拟事件/夏洛茨维尔,VA, 2021年5月18-21日
{"title":"IoTDI '21: International Conference on Internet-of-Things Design and Implementation, Virtual Event / Charlottesville, VA, USA, May 18-21, 2021","authors":"","doi":"10.1145/3450268","DOIUrl":"https://doi.org/10.1145/3450268","url":null,"abstract":"","PeriodicalId":92227,"journal":{"name":"IoTDI 2017 : 2017 IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation : proceedings : 18-20 April 2017, Pittsburgh, Pennsylvania, USA. IoTDI (Conference) (2nd : 2017 : Pittsburgh, Pa.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77788342","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
Poster Abstract: Real-Time DDoS Detection Based on Complex Event Processing for IoT 摘要:基于物联网复杂事件处理的实时DDoS检测
Adeilson Marques da Silva Cardoso, R. Lopes, A. Teles, F. B. V. Magalhaes
{"title":"Poster Abstract: Real-Time DDoS Detection Based on Complex Event Processing for IoT","authors":"Adeilson Marques da Silva Cardoso, R. Lopes, A. Teles, F. B. V. Magalhaes","doi":"10.1109/IoTDI.2018.00036","DOIUrl":"https://doi.org/10.1109/IoTDI.2018.00036","url":null,"abstract":"With the Internet of Things expansion, there has been an increase in the development of services and applications that use context-aware devices incorporated into smart environments. Those devices produce large quantities of data and demand faster and more precise defense mechanisms. Complex Event Processing (CEP) is an emerging and promising technology that allows real-time analysis of continuous data-steams. In this work, we proposed and developed a DDoS (Distributed Denial of Service) detection system and evaluated its performance running on a Raspberry Pi. The results show that the system can be executed on devices with reduced computational power and that CEP is a viable solution to improve the real-time performance on the detection of DDoS attacks on IoT environments.","PeriodicalId":92227,"journal":{"name":"IoTDI 2017 : 2017 IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation : proceedings : 18-20 April 2017, Pittsburgh, Pennsylvania, USA. IoTDI (Conference) (2nd : 2017 : Pittsburgh, Pa.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88060735","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: 7
SeleCon: Scalable IoT Device Selection and Control Using Hand Gestures. SeleCon:可扩展的物联网设备选择和控制使用手势。
Amr Alanwar, Moustafa Alzantot, Bo-Jhang Ho, Paul Martin, Mani Srivastava
{"title":"SeleCon: Scalable IoT Device Selection and Control Using Hand Gestures.","authors":"Amr Alanwar,&nbsp;Moustafa Alzantot,&nbsp;Bo-Jhang Ho,&nbsp;Paul Martin,&nbsp;Mani Srivastava","doi":"10.1145/3054977.3054981","DOIUrl":"https://doi.org/10.1145/3054977.3054981","url":null,"abstract":"<p><p>Although different interaction modalities have been proposed in the field of human-computer interface (HCI), only a few of these techniques could reach the end users because of scalability and usability issues. Given the popularity and the growing number of IoT devices, selecting one out of many devices becomes a hurdle in a typical smarthome environment. Therefore, an easy-to-learn, scalable, and non-intrusive interaction modality has to be explored. In this paper, we propose a <i>pointing</i> approach to interact with devices, as pointing is arguably a natural way for device selection. We introduce SeleCon for device selection and control which uses an ultra-wideband (UWB) equipped smartwatch. To interact with a device in our system, people can point to the device to select it then draw a hand gesture in the air to specify a control action. To this end, SeleCon employs inertial sensors for pointing gesture detection and a UWB transceiver for identifying the selected device from ranging measurements. Furthermore, SeleCon supports an alphabet of gestures that can be used for controlling the selected devices. We performed our experiment in a 9<i>m</i>-by-10<i>m</i> lab space with eight deployed devices. The results demonstrate that SeleCon can achieve 84.5% accuracy for device selection and 97% accuracy for hand gesture recognition. We also show that SeleCon is power efficient to sustain daily use by turning off the UWB transceiver, when a user's wrist is stationary.</p>","PeriodicalId":92227,"journal":{"name":"IoTDI 2017 : 2017 IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation : proceedings : 18-20 April 2017, Pittsburgh, Pennsylvania, USA. IoTDI (Conference) (2nd : 2017 : Pittsburgh, Pa.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3054977.3054981","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36032216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 18
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信