Preference Preserved Privacy Protection Scheme for Smart Home Network System Based on Information Hiding
Smart home is an emerging form of the Internet of things (IoT), which provides a convenient and comfortable living environment for the smart home users. With the explosive growth of smart home information, people pay more attention to the privacy protection of smart home, including the choice of pri...
| 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/9016218/ |
| _version_ | 1828977180877520896 |
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| author | Lina Yang Haiyu Deng Xiaocui Dang |
| author_facet | Lina Yang Haiyu Deng Xiaocui Dang |
| author_sort | Lina Yang |
| collection | DOAJ |
| description | Smart home is an emerging form of the Internet of things (IoT), which provides a convenient and comfortable living environment for the smart home users. With the explosive growth of smart home information, people pay more attention to the privacy protection of smart home, including the choice of privacy and effective privacy protection scheme. This paper proposes a privacy protection scheme based on information hiding, the scheme guarantees the sensitive data transmitted securely. First, the smart home Real-time sensor data are classified into sensitive data and non-sensitive data through machine learning, the process can be controlled according to the user's preferences. Second, the sensitive data can be transmitted securely by ordinary channels using method of combination encryption with information hiding. Experiment results show that this scheme can help users to express their preferences to the privacy protection, changing the previous practice that users can only accept the privacy settings provided by the supplier. What's more, the scheme combines encryption with information hiding, providing a double guarantee for the sensitive data during they are transmitted on ordinary channels. Comparing to the previous practice of using encryption merely, this scheme greatly improves the security of data transmission and is more suitable for the real environment. |
| first_indexed | 2024-12-14T14:52:34Z |
| format | Article |
| id | doaj.art-a73131d80e15417daec1f2dee50ea335 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T14:52:34Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a73131d80e15417daec1f2dee50ea3352022-12-21T22:57:06ZengIEEEIEEE Access2169-35362020-01-018407674077610.1109/ACCESS.2020.29767829016218Preference Preserved Privacy Protection Scheme for Smart Home Network System Based on Information HidingLina Yang0https://orcid.org/0000-0003-3489-1887Haiyu Deng1https://orcid.org/0000-0002-7513-4009Xiaocui Dang2https://orcid.org/0000-0001-8734-6247School of Computer, Electronics and Information, Guangxi University, Nanning, ChinaSchool of Computer, Electronics and Information, Guangxi University, Nanning, ChinaSchool of Computer, Electronics and Information, Guangxi University, Nanning, ChinaSmart home is an emerging form of the Internet of things (IoT), which provides a convenient and comfortable living environment for the smart home users. With the explosive growth of smart home information, people pay more attention to the privacy protection of smart home, including the choice of privacy and effective privacy protection scheme. This paper proposes a privacy protection scheme based on information hiding, the scheme guarantees the sensitive data transmitted securely. First, the smart home Real-time sensor data are classified into sensitive data and non-sensitive data through machine learning, the process can be controlled according to the user's preferences. Second, the sensitive data can be transmitted securely by ordinary channels using method of combination encryption with information hiding. Experiment results show that this scheme can help users to express their preferences to the privacy protection, changing the previous practice that users can only accept the privacy settings provided by the supplier. What's more, the scheme combines encryption with information hiding, providing a double guarantee for the sensitive data during they are transmitted on ordinary channels. Comparing to the previous practice of using encryption merely, this scheme greatly improves the security of data transmission and is more suitable for the real environment.https://ieeexplore.ieee.org/document/9016218/Smart homeprivacy protectiondata encryptioninformation hiding |
| spellingShingle | Lina Yang Haiyu Deng Xiaocui Dang Preference Preserved Privacy Protection Scheme for Smart Home Network System Based on Information Hiding IEEE Access Smart home privacy protection data encryption information hiding |
| title | Preference Preserved Privacy Protection Scheme for Smart Home Network System Based on Information Hiding |
| title_full | Preference Preserved Privacy Protection Scheme for Smart Home Network System Based on Information Hiding |
| title_fullStr | Preference Preserved Privacy Protection Scheme for Smart Home Network System Based on Information Hiding |
| title_full_unstemmed | Preference Preserved Privacy Protection Scheme for Smart Home Network System Based on Information Hiding |
| title_short | Preference Preserved Privacy Protection Scheme for Smart Home Network System Based on Information Hiding |
| title_sort | preference preserved privacy protection scheme for smart home network system based on information hiding |
| topic | Smart home privacy protection data encryption information hiding |
| url | https://ieeexplore.ieee.org/document/9016218/ |
| work_keys_str_mv | AT linayang preferencepreservedprivacyprotectionschemeforsmarthomenetworksystembasedoninformationhiding AT haiyudeng preferencepreservedprivacyprotectionschemeforsmarthomenetworksystembasedoninformationhiding AT xiaocuidang preferencepreservedprivacyprotectionschemeforsmarthomenetworksystembasedoninformationhiding |