A Privacy Protection Method for the Perceptual Layer of IoTs

カテゴリ: 部門大会

論文No: SS4-4

グループ名: 【C】平成28年電気学会電子・情報・システム部門大会講演論文集

発行日: 2016/08/31

タイトル(英語): A Privacy Protection Method for the Perceptual Layer of IoTs

著者名: Li Xiaoyu(早稲田大学),吉江 修(早稲田大学)

著者名(英語): Xiaoyu Li|Osamu Yoshie

キーワード: Internet of Things (IoTs)|privacy protection|Horizontal Hierarchy Slicing (HHS)|Received Signal Strength Indicator (RSSI)

要約(日本語): A great challenge in Internet of Things (IoTs) is how to protect private information from disclosing. There are many advanced methods to keep an IoTs system connect safely with the external network. However, these efforts are ineffective to avoid privacy?disclosure if a malicious wireless device is put in the perceptual layer of IoTs. Therefore, we derive an innovative method called Horizontal Hierarchy Slicing (HHS) method for detecting the actual number of nodes in the IoTs topology. The privacy protection of the perceptual layer could be implemented by determining whether there are malicious wireless devices. Received Signal Strength Indicator (RSSI) data are the network parameters which are utilized in this method. The simulation results show their effectiveness in privacy protection.

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