Anomaly detection and privacy preservation in Cloud-Centric Internet of Things

Basit Öğe Kaydı
dc.authorid0000-0002-1723-5741en_US
dc.contributor.authorBütün, İsmail
dc.contributor.authorKantarci, Burak
dc.contributor.authorErol-Kantarci, Melike
dc.date.accessioned2021-03-20T20:15:17Z
dc.date.available2021-03-20T20:15:17Z
dc.date.issued2015
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Mekatronik Mühendisliği Bölümüen_US
dc.descriptionIEEE International Conference on Communications (ICC) -- JUN 08-12, 2015 -- London, ENGLANDen_US
dc.descriptionKantarci, Burak/0000-0003-0220-7956; Butun, Ismail/0000-0002-1723-5741en_US
dc.description.abstractInternet of Things (IoT) concept provides a number of opportunities to improve our daily lives while also creating a potential risk of increasing the vulnerability of personal information to security and privacy breaches. Data collected from IoT is usually offloaded to the Cloud which may further leave data prone to a variety of attacks if security and privacy issues are not handled properly. Anomaly detection has been one of the widely adopted security measures in wired and wireless networks. However, it is not straight forward to apply most of the anomaly detection techniques to IoT and cloud. One of the main challenges is deriving outlier features from the vast volume of data pumped from IoT to the cloud. Other challenges include the large number of sources generating data, heterogenous connectivity and traffic patterns of IoT devices, cloud services being offered at geographically remote places and causing IoT data to be stored in different countries with different legislations. This paper, for the first time, presents the challenges and opportunities in anomaly detection for IoT and cloud. It first introduces the prominent features and application fields of IoT and Cloud, then discusses security and privacy risks to personal information and finally focuses on solutions from anomaly detection perspective.en_US
dc.description.sponsorshipIEEEen_US
dc.identifier.endpage2615en_US
dc.identifier.isbn978-1-4673-6305-1
dc.identifier.issn2164-7038
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage2610en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1175
dc.identifier.wosWOS:000380459900426en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorBütün, İsmail
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2015 Ieee International Conference On Communication Workshop (Iccw)en_US
dc.relation.ispartofseriesIEEE International Conference on Communications Workshops
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keywords]en_US
dc.titleAnomaly detection and privacy preservation in Cloud-Centric Internet of Thingsen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Mekatronik Mühendisliği Bölümü Yayın Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu