M
Mohsen Guizani
Researcher at Qatar University
Publications - 1337
Citations - 48275
Mohsen Guizani is an academic researcher from Qatar University. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 79, co-authored 1110 publications receiving 31282 citations. Previous affiliations of Mohsen Guizani include Jaypee Institute of Information Technology & University College for Women.
Papers
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Blockchain and Semi-Distributed Learning-Based Secure and Low-Latency Computation Offloading in Space-Air-Ground-Integrated Power IoT
TL;DR: This paper proposes a Blockchain and semi-distributed secure and low-latency electromAgnetic interferenCe-awarE computation offloading algorithm (BRACE) to minimize the total queuing delay under the long-term security constraint.
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Performance Evaluation for Minislot Allocation for Wireless Mesh Networks
TL;DR: An analytical model is proposed and simulation experiments are conducted to investigate the performance of the CDC-series schemes with the RR and Greedy algorithms in terms of the acceptance rate of both external and internal packet data.
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BNNC: Improving Performance of Multipath Transmission in Heterogeneous Vehicular Networks
TL;DR: A brand-new mathematical model for network coding which can effectively improve the reliability of the vehicular networks is proposed and the results show that the BNNC scheme is significantly superior to the other network coding schemes in terms of computational performance.
Proceedings ArticleDOI
Hadoop Based Real-Time Intrusion Detection for High-Speed Networks
TL;DR: A high-speed Intrusion Detection System, capable of working in Big Data environment, and among various machine learning approaches, the proposed system performs well on REPTree and J48 using the proposed features.
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A Privacy-Preserving Traffic Monitoring Scheme via Vehicular Crowdsourcing.
TL;DR: Wang et al. as discussed by the authors proposed a privacy-preserving traffic monitoring (PPTM) scheme, which collects vehicles' speed information at multiple road segments, and further cooperates with a service provider to calculate the average speed information for every road segment.