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Burak Kantarci
Researcher at University of Ottawa
Publications - 277
Citations - 5877
Burak Kantarci is an academic researcher from University of Ottawa. The author has contributed to research in topics: Cloud computing & Computer science. The author has an hindex of 33, co-authored 236 publications receiving 4363 citations. Previous affiliations of Burak Kantarci include Istanbul Technical University & Clarkson University.
Papers
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Proceedings ArticleDOI
Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges
Moeen Hassanalieragh,Alex Page,Tolga Soyata,Gaurav Sharma,Mehmet K. Aktas,Gonzalo Mateos,Burak Kantarci,Silvana Andreescu +7 more
TL;DR: The availability of data at hitherto unimagined scales and temporal longitudes coupled with a new generation of intelligent processing algorithms can facilitate an evolution in the practice of medicine and help reduce the cost of health care while simultaneously improving outcomes.
Journal ArticleDOI
A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities
Andrea Capponi,Claudio Fiandrino,Burak Kantarci,Luca Foschini,Dzmitry Kliazovich,Pascal Bouvry +5 more
TL;DR: A survey on existing works in the MCS domain is presented and a detailed taxonomy is proposed to shed light on the current landscape and classify applications, methodologies, and architectures to outline potential future research directions and synergies with other research areas.
Journal ArticleDOI
On the Feasibility of Deep Learning in Sensor Network Intrusion Detection
TL;DR: This letter introduces restricted Boltzmann machine-based clustered IDS (RBC-IDS), a potential DL-based IDS methodology for monitoring critical infrastructures by WSNs, and compares it to the previously proposed adaptive machine learning- based IDS: the adaptively supervised and clustered hybridIDS (ASCH-IDS).
Journal ArticleDOI
Trustworthy Sensing for Public Safety in Cloud-Centric Internet of Things
TL;DR: This paper proposes a reputation-based (S2 aaS) scheme, namely, Trustworthy Sensing for Crowd Management (TSCM) for front-end access to the IoT, and shows that TSCM can enhance the utility of the public safety authority up to 85%.
Journal ArticleDOI
A survey on cybersecurity, data privacy, and policy issues in cyber-physical system deployments in smart cities
TL;DR: A survey of the theoretical and practical challenges and opportunities of CPSs in smart cities are enumerated not only in terms of their technical aspects, but also in Terms of policy and governance issues of concern.