Using Granule to Search Privacy Preserving Voice in Home IoT Systems
The Home IoT Voice System (HIVS) such as Amazon Alexa or Apple Siri can provide voice-based interfaces for people to conduct the search tasks using their voice. However, how to protect privacy is a big challenge. This paper proposes a novel personalized search scheme of encrypting voice with privacy...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8990080/ |
| _version_ | 1818917582124613632 |
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| author | Wei Li Yumin Chen Huosheng Hu Chao Tang |
| author_facet | Wei Li Yumin Chen Huosheng Hu Chao Tang |
| author_sort | Wei Li |
| collection | DOAJ |
| description | The Home IoT Voice System (HIVS) such as Amazon Alexa or Apple Siri can provide voice-based interfaces for people to conduct the search tasks using their voice. However, how to protect privacy is a big challenge. This paper proposes a novel personalized search scheme of encrypting voice with privacy-preserving by the granule computing technique. Firstly, Mel-Frequency Cepstrum Coefficients (MFCC) are used to extract voice features. These features are obfuscated by obfuscation function to protect them from being disclosed the server. Secondly, a series of definitions are presented, including fuzzy granule, fuzzy granule vector, ciphertext granule, operators and metrics. Thirdly, the AES method is used to encrypt voices. A scheme of searchable encrypted voice is designed by creating the fuzzy granule of obfuscation features of voices and the ciphertext granule of the voice. The experiments are conducted on corpus including English, Chinese and Arabic. The results show the feasibility and good performance of the proposed scheme. |
| first_indexed | 2024-12-20T00:36:21Z |
| format | Article |
| id | doaj.art-11c31fa88cff4ad8ac06210ec7d1556e |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T00:36:21Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-11c31fa88cff4ad8ac06210ec7d1556e2022-12-21T19:59:44ZengIEEEIEEE Access2169-35362020-01-018319573196910.1109/ACCESS.2020.29729758990080Using Granule to Search Privacy Preserving Voice in Home IoT SystemsWei Li0https://orcid.org/0000-0002-4308-4385Yumin Chen1https://orcid.org/0000-0003-1981-5827Huosheng Hu2Chao Tang3School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, ChinaSchool of Computer and Information Engineering, Xiamen University of Technology, Xiamen, ChinaSchool of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K.Department of Computer Science and Technology, Hefei University, Hefei, ChinaThe Home IoT Voice System (HIVS) such as Amazon Alexa or Apple Siri can provide voice-based interfaces for people to conduct the search tasks using their voice. However, how to protect privacy is a big challenge. This paper proposes a novel personalized search scheme of encrypting voice with privacy-preserving by the granule computing technique. Firstly, Mel-Frequency Cepstrum Coefficients (MFCC) are used to extract voice features. These features are obfuscated by obfuscation function to protect them from being disclosed the server. Secondly, a series of definitions are presented, including fuzzy granule, fuzzy granule vector, ciphertext granule, operators and metrics. Thirdly, the AES method is used to encrypt voices. A scheme of searchable encrypted voice is designed by creating the fuzzy granule of obfuscation features of voices and the ciphertext granule of the voice. The experiments are conducted on corpus including English, Chinese and Arabic. The results show the feasibility and good performance of the proposed scheme.https://ieeexplore.ieee.org/document/8990080/Fuzzy searchgranule computingk-nearest neighborsearchable encrypted voiceobfuscation function |
| spellingShingle | Wei Li Yumin Chen Huosheng Hu Chao Tang Using Granule to Search Privacy Preserving Voice in Home IoT Systems IEEE Access Fuzzy search granule computing k-nearest neighbor searchable encrypted voice obfuscation function |
| title | Using Granule to Search Privacy Preserving Voice in Home IoT Systems |
| title_full | Using Granule to Search Privacy Preserving Voice in Home IoT Systems |
| title_fullStr | Using Granule to Search Privacy Preserving Voice in Home IoT Systems |
| title_full_unstemmed | Using Granule to Search Privacy Preserving Voice in Home IoT Systems |
| title_short | Using Granule to Search Privacy Preserving Voice in Home IoT Systems |
| title_sort | using granule to search privacy preserving voice in home iot systems |
| topic | Fuzzy search granule computing k-nearest neighbor searchable encrypted voice obfuscation function |
| url | https://ieeexplore.ieee.org/document/8990080/ |
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