| 書目名稱 | Pervasive Wireless Environments: Detecting and Localizing User Spoofing |
| 編輯 | Jie Yang,Yingying Chen,Jerry Cheng |
| 視頻video | http://file.papertrans.cn/746/745214/745214.mp4 |
| 概述 | Includes supplementary material: |
| 叢書名稱 | SpringerBriefs in Computer Science |
| 圖書封面 |  |
| 描述 | This Springer Brief provides a new approach to prevent user spoofing by using the physical properties associated with wireless transmissions to detect the presence of user spoofing. The most common method, applying cryptographic authentication, requires additional management and computational power that cannot be deployed consistently. The authors present the new approach by offering a summary of the recent research and exploring the benefits and potential challenges of this method. This brief discusses the feasibility oflaunching user spoofing attacks and their impact on the wireless and sensor networks. Readers are equipped to understand several system models. One attack detection model exploits the spatial correlation of received signal strength (RSS) inherited from wireless devices as a foundation. Through experiments in practical environments, the authors evaluate the performance of the spoofing attack detection model. The brief also introduces the DEMOTE system, which exploits the correlation within the RSS trace based on each device’s identity to detect mobile attackers. A final chapter covers future directions of this field.By presenting complex technical information in a c |
| 出版日期 | Book 2014 |
| 關(guān)鍵詞 | Attack detection; Identity-based attacks; Received signal strength (RSS); Spatial correlation; Spoofing |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-07356-9 |
| isbn_softcover | 978-3-319-07355-2 |
| isbn_ebook | 978-3-319-07356-9Series ISSN 2191-5768 Series E-ISSN 2191-5776 |
| issn_series | 2191-5768 |
| copyright | The Author(s) 2014 |
|Archiver|手機版|小黑屋|
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