S
Safa Otoum
Researcher at Zayed University
Publications - 47
Citations - 1823
Safa Otoum is an academic researcher from Zayed University. The author has contributed to research in topics: Computer science & Intrusion detection system. The author has an hindex of 16, co-authored 30 publications receiving 980 citations. Previous affiliations of Safa Otoum include University of Ottawa.
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A Survey on Blockchain for Information Systems Management and Security
TL;DR: It is highlighted that blockchain’s structure and modern cloud- and edge-computing paradigms are crucial in enabling a widespread adaption and development of blockchain technologies for new players in today unprecedented vibrant global market.
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An intrusion detection system for connected vehicles in smart cities
TL;DR: This work introduces an automated secure continuous cloud service availability framework for smart connected vehicles that enables an intrusion detection mechanism against security attacks and provides services that meet users’ quality of service (QoS) and quality of experience (QoE) requirements.
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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).
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Blockchain for Managing Heterogeneous Internet of Things: A Perspective Architecture
TL;DR: A preliminary study on an architecture that implements blockchain in managing heterogeneous IoT systems and the difficulties of integrating IoT and blockchain is presented to stimulate further effort and cross-disciplinary collaboration.
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Blockchain-based database in an IoT environment: challenges, opportunities, and analysis
TL;DR: This paper presents initial studies on the challenges and opportunities of using Blockchain as a database for Internet-of-Things (IoT) applications, and explores several reasonable consistency models for BBP-based database, and shows that such a database does not satisfy many consistency models under certain typical IoT environments.