Y
Yaser Jararweh
Researcher at Jordan University of Science and Technology
Publications - 324
Citations - 8851
Yaser Jararweh is an academic researcher from Jordan University of Science and Technology. The author has contributed to research in topics: Cloud computing & Computer science. The author has an hindex of 44, co-authored 297 publications receiving 6045 citations. Previous affiliations of Yaser Jararweh include University of Arizona & Pennsylvania State University.
Papers
More filters
Proceedings ArticleDOI
A Cross-Layer Video Multicasting Routing Protocol for Cognitive Radio Networks
TL;DR: Simulation results demonstrate that the proposed multicasting routing protocol achieves significantly better performance compared to the other studied routing protocols in terms of all studied performance metrics.
Journal ArticleDOI
DDoS detection in 5G-enabled IoT networks using deep Kalman backpropagation neural network
TL;DR: A Kalman backpropagation neural network-based DDoS intrusion detection model that can be implemented in IoT dynamic environments, providing an intelligent intrusion detection mechanism against the second biggest threat to data traffic and transfer on IoT networks.
Journal ArticleDOI
Towards improving resource management in cloud systems using a multi-agent framework
TL;DR: This work focuses on improving the resource utilisation by optimising the resource provisioning through a multi-agent framework in which different agents are responsible for different tasks including the monitoring of customers and available resources based on customer's requests.
Journal ArticleDOI
Efficient and reliable forensics using intelligent edge computing
Abdul Razaque,Moayad Aloqaily,Muder Almiani,Yaser Jararweh,Gautam Srivastava,Gautam Srivastava +5 more
TL;DR: In this paper, the authors proposed an efficient and reliable forensics framework (ERFF) to address industrial intelligent edge computing critical for the industry 4.0 implementation plan, which consists of a detective module and validation model, with the detective module responsible for detecting the interaction between the client terminal and the edge resource.
Proceedings ArticleDOI
RecDNNing: a recommender system using deep neural network with user and item embeddings
TL;DR: A novel approach called RecDNNing with a combination of embedded users and items combined with deep neural network to predict the scores of rating by applying the forward propagation algorithm on MovieLens.