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  • Security and Privacy

  • Vehicular Technologies and Networks

  • Optimal Resource Management

Security
and
Privacy

Innovative measures introducing state of the art solutions to preserve and manage security and privacy in emerging technologies
 

Vehicular
Technologies
and Networks

Establish high tech computation and network modalities towards enabling advanced intelligence within such a highly mobile environment

Optimal
Resource
Management

Take advantage of cutting-edge optimization and artificial intelligence mechanisms toward adaptive resource management within emerging technologies

“That’s one small step for man, one giant leap for mankind.” — Armstrong

Our research is tailored towards solving cutting-edge industrial and research problems related to Security, Service, Network and Computation Optimization and Management in Emerging Technologies including Internet of Things, Cloud/Fog/Edge Computing, Vehicular and Mobile Systems and Networks, and Federated Learning. Our target is to efficiently use the computing resources while optimizing the network and service quality. We build state-of-the-art solutions, embedding Optimization, Game Theoretical, Semantics and Artificial Intelligence models, to solve real-life problems within multiple paradigms. Security and Privacy measurements are always our utmost priorities to assure trustworthy environments.

Latest News

Your Guide To Federated Fog Computing; The Missing Piece For Enabling Smart Cities

Rise of Cloud Computing and Federated Cloud. It all began in the 1960s, where the Network-Based Distributed Computing has emerged. Four decades later, this paradigm turned into what is known nowadays as Cloud Computing, offering various services at the personal and organizational levels. According to statistics, many Cloud service providers…

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Your Guide To Federated Fog Computing; The Missing Piece For Enabling Smart Cities
Are We Ready to Give AI Control Over Our Decisions? Is Self-Driving Good Enough to Rely On?

Are We Ready to Give AI Control Over Our Decisions? Is Self-Driving Good Enough to Rely On?

In the past decade, computerized systems have observed major shifts in multiple fields and are the main drivers of the current industrial revolution. This includes the improvements in mobile application development, new social media platforms, enhancements in navigation systems, the integration of sensors in smart devices, and many more.But this…

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FScaler: Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning

An Architecture Showing FScaler Integration Within Kubernetes Master The below content is taken from the paper entitled by “FScaler: Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning”. ABSTRACT Several studies leverage fog computing as a solution to overcome cloud delays, including computation, network, and data storage. Along…

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FScaler: Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning

Latest Publications

FScaler: Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning pdf

Authors: Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar

AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions pdf

Authors: Ahmad Hammoud, Hani Sami, Azzam Mourad, Hadi Otrok, Rabab Mizouni, Jamal Bentahar

AI-based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach Deep reinforcement Learning for proactive horizontal and vertical resource scaling. pdf

Authors: Hani Sami, Hadi Otrok, Jamal Bentahar, Azzam Mourad

Demand-Driven Deep Reinforcement Learning for Scalable Fog and Service Placement Deep Reinforcement Learning for Service Placement pdf

Authors: Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar

Reinforcement R-learning Model for Time Scheduling of On-demand Fog Placement On-demand Fog Scheduling pdf

Authors: Peter Farhat, Hani Sami, Azzam Mourad

Vehicular-OBUs-As-On-Demand-Fogs: Resource and Context Aware Deployment of Containerized Micro-Services On-demand Vehicular Fog pdf

Authors: Hani Sami, Azzam Mourad, Wassim El-Hajj

Dynamic On-Demand Fog Formation Offering On-the-Fly IoT Service Deployment On-demand Fog Formation pdf

Authors: Hani Sami, Azzam Mourad

AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions pdf

Authors: Ahmad Hammoud, Hani Sami, Azzam Mourad, Hadi Otrok, Rabab Mizouni, Jamal Bentahar

FScaler: Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning pdf

Authors: Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar

AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions pdf

Authors: Ahmad Hammoud, Hani Sami, Azzam Mourad, Hadi Otrok, Rabab Mizouni, Jamal Bentahar

AI-based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach Deep reinforcement Learning for proactive horizontal and vertical resource scaling. pdf

Authors: Hani Sami, Hadi Otrok, Jamal Bentahar, Azzam Mourad

Demand-Driven Deep Reinforcement Learning for Scalable Fog and Service Placement Deep Reinforcement Learning for Service Placement pdf

Authors: Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar

Reinforcement R-learning Model for Time Scheduling of On-demand Fog Placement On-demand Fog Scheduling pdf

Authors: Peter Farhat, Hani Sami, Azzam Mourad

Vehicular-OBUs-As-On-Demand-Fogs: Resource and Context Aware Deployment of Containerized Micro-Services On-demand Vehicular Fog pdf

Authors: Hani Sami, Azzam Mourad, Wassim El-Hajj

Dynamic On-Demand Fog Formation Offering On-the-Fly IoT Service Deployment On-demand Fog Formation pdf

Authors: Hani Sami, Azzam Mourad

Sampling Online Social Networks with Tailored Mining Strategies Social Networks Analysis PDF

Authors: Mohamad Arafeh, Paolo Ceravolo, Azzam Mourad, Ernesto Damiani

Ontology Based Recommender System Using Social Network Data social network, data miner, big data, data analysis, data sampling, ontology, recommender system PDF

Authors: Mohamad Arafeh, Paolo Ceravolo, Azzam Mourad, Ernesto Damiani, Emanuele Bellini

A Blockchain based Architecture for the Detection of Fake Sensing in Mobile Crowdsensing Crowdsensing, fake sensing, Blockchain, smart cities, citizens’ behavior monitoring PDF

Authors: Mohamad Arafeh, May El Barachi, Azzam Mourad, Fatna Belqasmi

FScaler: Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning pdf

Authors: Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar

AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions pdf

Authors: Ahmad Hammoud, Hani Sami, Azzam Mourad, Hadi Otrok, Rabab Mizouni, Jamal Bentahar

AI-based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach Deep reinforcement Learning for proactive horizontal and vertical resource scaling. pdf

Authors: Hani Sami, Hadi Otrok, Jamal Bentahar, Azzam Mourad

Demand-Driven Deep Reinforcement Learning for Scalable Fog and Service Placement Deep Reinforcement Learning for Service Placement pdf

Authors: Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar

Reinforcement R-learning Model for Time Scheduling of On-demand Fog Placement On-demand Fog Scheduling pdf

Authors: Peter Farhat, Hani Sami, Azzam Mourad

Vehicular-OBUs-As-On-Demand-Fogs: Resource and Context Aware Deployment of Containerized Micro-Services On-demand Vehicular Fog pdf

Authors: Hani Sami, Azzam Mourad, Wassim El-Hajj

Dynamic On-Demand Fog Formation Offering On-the-Fly IoT Service Deployment On-demand Fog Formation pdf

Authors: Hani Sami, Azzam Mourad

A Blockchain based Architecture for the Detection of Fake Sensing in Mobile Crowdsensing Crowdsensing, fake sensing, Blockchain, smart cities, citizens’ behavior monitoring PDF

Authors: Mohamad Arafeh, May El Barachi, Azzam Mourad, Fatna Belqasmi

AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions pdf

Authors: Ahmad Hammoud, Hani Sami, Azzam Mourad, Hadi Otrok, Rabab Mizouni, Jamal Bentahar

FScaler: Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning pdf

Authors: Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar

AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions AI, Blockchain and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions pdf

Authors: Ahmad Hammoud, Hani Sami, Azzam Mourad, Hadi Otrok, Rabab Mizouni, Jamal Bentahar

AI-based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach Deep reinforcement Learning for proactive horizontal and vertical resource scaling. pdf

Authors: Hani Sami, Hadi Otrok, Jamal Bentahar, Azzam Mourad

Demand-Driven Deep Reinforcement Learning for Scalable Fog and Service Placement Deep Reinforcement Learning for Service Placement pdf

Authors: Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar