Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/8376
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yurdagül, Muhammed Ali | - |
dc.contributor.author | Sencar, Hüsrev Taha | - |
dc.date.accessioned | 2022-01-15T13:02:42Z | - |
dc.date.available | 2022-01-15T13:02:42Z | - |
dc.date.issued | 2021 | - |
dc.identifier.isbn | 978-1-7281-8934-5 | - |
dc.identifier.uri | https://doi.org/10.1109/SPW53761.2021.00035 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/8376 | - |
dc.description | 42nd IEEE Symposium on Security and Privacy (S and P) -- MAY 27, 2021 -- ELECTR NETWORK | en_US |
dc.description.abstract | Bluetooth Low Energy (FILE) has become one of the most popular wireless communication protocols and is used in billions of smart devices. Despite several security features, the hardware and software limitations of these devices makes them vulnerable to man-in-the-middle (MITM) attacks. Due to the use of these devices in increasingly diverse and safety-critical applications, the capability to detect MITM attacks has become more critical. To address this challenge. we propose the use of the response time behavior of a BLE device observed in relation to select read and write operations and introduce an active MITM attack detection system that identifies changes in response time. Our measurements on several BLE devices show that their response time behavior exhibits very high regularity, making it a very reliable attack indicator that cannot be concealed by an attacker. Test results show that our system can very accurately and quickly detect MITM attacks while requiring a simple learning approach. | en_US |
dc.description.sponsorship | IEEE, IEEE Comp Soc | en_US |
dc.language.iso | en | en_US |
dc.publisher | Ieee Computer Soc | en_US |
dc.relation.ispartof | 2021 Ieee Symposium on Security and Privacy Workshops (Spw 2021) | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.title | Blekeeper: Response Time Behavior Based Man-In Attack Detection | en_US |
dc.type | Conference Object | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | tr_TR |
dc.identifier.startpage | 214 | en_US |
dc.identifier.endpage | 220 | en_US |
dc.identifier.wos | WOS:000697689400028 | en_US |
dc.identifier.scopus | 2-s2.0-85112850609 | en_US |
dc.institutionauthor | Yurdagül, Muhammed Ali | - |
dc.identifier.doi | 10.1109/SPW53761.2021.00035 | - |
dc.authorscopusid | 57223014341 | - |
dc.authorscopusid | 8616233200 | - |
dc.relation.publicationcategory | Diğer | en_US |
item.openairetype | Conference Object | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.3. Department of Computer Engineering | - |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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