會議論文
| 學年 | 102 |
|---|---|
| 學期 | 2 |
| 發表日期 | 2014-06-13 |
| 作品名稱 | The Sybil Attack in Participatory Sensing: Detection and Analysis |
| 作品名稱（其他語言） | |
| 著者 | Shih-Hao Chang; Kuo-Kun Tseng; Shin-Ming Cheng |
| 作品所屬單位 | |
| 出版者 | |
| 會議名稱 | Intelligent Data analysis and its Applications, Volume I |
| 會議地點 | Shenzhen, China |
| 摘要 | Participatory sensing is a revolutionary paradigm in which volunteers collect and share information from their local environment using mobile phones. Nevertheless, one of the most important issues and misgiving about participatory sensing applications is security. Different from other participatory sensing application challenges who consider user privacy and data trustworthiness, we consider network trustworthiness problem namely Sybil attacks in participatory sensing. Sybil attacks is a particularly harmful attack against participatory sensing application, where Sybil attacks focus on creating multiple online user identities called Sybil identities and try to achieve malicious results through these identities. In this paper, we proposed a Hybrid Trust Management (HTM) framework for detecting and analyze Sybil attacks in participatory sensing network. Our HTM was proposed for performing Sybil attack characteristic check and trustworthiness management system to verify coverage nodes in the participatory sensing. To verify the proposed framework, we are currently developing the proposed scheme on OMNeT++ network simulator in multiple scenarios to achieve Sybil identities detection in our simulation environment. |
| 關鍵字 | Cloud Computing;Trust Management;Cloud Service Provider;Adaptive Threshold;Reputation System |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | 無 |
| 研討會時間 | 20140613~20140615 |
| 通訊作者 | |
| 國別 | CHN |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118491 ) |