Smart home privacy protection methods against a passive wireless snooping side-channel attack
Smart home technologies have attracted more users in recent years due to significant advancements in their underlying enabler components, such as sensors, actuators, and processors, which are spreading in various domains and have become more affordable. However, these IoT-based solutions are prone t...
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| Format: | Article |
| Language: | English |
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MDPI
2022
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| Online Access: | http://eprints.utm.my/104054/1/AnazidaZainal2022_SmartHomePrivacyProtectionMethods.pdf |
| _version_ | 1796867581741629440 |
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| author | Abrishamchi, Mohammad Ali Nassiri Zainal, Anazida Abdoh Ghaleb, Fuad Abdulgaleel Qasem, Sultan Noman Albarrak, Abdullah M. |
| author_facet | Abrishamchi, Mohammad Ali Nassiri Zainal, Anazida Abdoh Ghaleb, Fuad Abdulgaleel Qasem, Sultan Noman Albarrak, Abdullah M. |
| author_sort | Abrishamchi, Mohammad Ali Nassiri |
| collection | ePrints |
| description | Smart home technologies have attracted more users in recent years due to significant advancements in their underlying enabler components, such as sensors, actuators, and processors, which are spreading in various domains and have become more affordable. However, these IoT-based solutions are prone to data leakage; this privacy issue has motivated researchers to seek a secure solution to overcome this challenge. In this regard, wireless signal eavesdropping is one of the most severe threats that enables attackers to obtain residents’ sensitive information. Even if the system encrypts all communications, some cyber attacks can still steal information by interpreting the contextual data related to the transmitted signals. For example, a “fingerprint and timing-based snooping (FATS)” attack is a side-channel attack (SCA) developed to infer in-home activities passively from a remote location near the targeted house. An SCA is a sort of cyber attack that extracts valuable information from smart systems without accessing the content of data packets. This paper reviews the SCAs associated with cyber–physical systems, focusing on the proposed solutions to protect the privacy of smart homes against FATS attacks in detail. Moreover, this work clarifies shortcomings and future opportunities by analyzing the existing gaps in the reviewed methods. |
| first_indexed | 2024-03-05T21:29:25Z |
| format | Article |
| id | utm.eprints-104054 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T21:29:25Z |
| publishDate | 2022 |
| publisher | MDPI |
| record_format | dspace |
| spelling | utm.eprints-1040542024-01-14T00:56:57Z http://eprints.utm.my/104054/ Smart home privacy protection methods against a passive wireless snooping side-channel attack Abrishamchi, Mohammad Ali Nassiri Zainal, Anazida Abdoh Ghaleb, Fuad Abdulgaleel Qasem, Sultan Noman Albarrak, Abdullah M. QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering Smart home technologies have attracted more users in recent years due to significant advancements in their underlying enabler components, such as sensors, actuators, and processors, which are spreading in various domains and have become more affordable. However, these IoT-based solutions are prone to data leakage; this privacy issue has motivated researchers to seek a secure solution to overcome this challenge. In this regard, wireless signal eavesdropping is one of the most severe threats that enables attackers to obtain residents’ sensitive information. Even if the system encrypts all communications, some cyber attacks can still steal information by interpreting the contextual data related to the transmitted signals. For example, a “fingerprint and timing-based snooping (FATS)” attack is a side-channel attack (SCA) developed to infer in-home activities passively from a remote location near the targeted house. An SCA is a sort of cyber attack that extracts valuable information from smart systems without accessing the content of data packets. This paper reviews the SCAs associated with cyber–physical systems, focusing on the proposed solutions to protect the privacy of smart homes against FATS attacks in detail. Moreover, this work clarifies shortcomings and future opportunities by analyzing the existing gaps in the reviewed methods. MDPI 2022-11 Article PeerReviewed application/pdf en http://eprints.utm.my/104054/1/AnazidaZainal2022_SmartHomePrivacyProtectionMethods.pdf Abrishamchi, Mohammad Ali Nassiri and Zainal, Anazida and Abdoh Ghaleb, Fuad Abdulgaleel and Qasem, Sultan Noman and Albarrak, Abdullah M. (2022) Smart home privacy protection methods against a passive wireless snooping side-channel attack. Sensors, 22 (21). pp. 1-21. ISSN 1424-8220 http://dx.doi.org/10.3390/s22218564 DOI:10.3390/s22218564 |
| spellingShingle | QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering Abrishamchi, Mohammad Ali Nassiri Zainal, Anazida Abdoh Ghaleb, Fuad Abdulgaleel Qasem, Sultan Noman Albarrak, Abdullah M. Smart home privacy protection methods against a passive wireless snooping side-channel attack |
| title | Smart home privacy protection methods against a passive wireless snooping side-channel attack |
| title_full | Smart home privacy protection methods against a passive wireless snooping side-channel attack |
| title_fullStr | Smart home privacy protection methods against a passive wireless snooping side-channel attack |
| title_full_unstemmed | Smart home privacy protection methods against a passive wireless snooping side-channel attack |
| title_short | Smart home privacy protection methods against a passive wireless snooping side-channel attack |
| title_sort | smart home privacy protection methods against a passive wireless snooping side channel attack |
| topic | QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/104054/1/AnazidaZainal2022_SmartHomePrivacyProtectionMethods.pdf |
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