• 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

February 10 2021 Resource Management

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?

February 10 2021 Fog Computing, On-Demand Fog

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

February 16 2021 Fog Computing, reinforcement learning, Resource Management, Resource Scaling

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
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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

A survey on trust and reputation models for Web services: Single, composite, and communities pdf

Authors: Omar AbdelWahab, JamalBentahar, HadiOtrok, AzzamMourad

A Stackelberg game for distributed formation of business-driven services communities pdf

Authors: Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad

Optimal Load Distribution for the Detection of VM-Based DDoS Attacks in the Cloud pdf

Authors: Omar Abdel Wahab; Jamal Bentahar; Hadi Otrok; Azzam Mourad

Towards Trustworthy Multi-Cloud Services Communities: A Trust-Based Hedonic Coalitional Game pdf

Authors: Omar Abdel Wahab; Jamal Bentahar; Hadi Otrok; Azzam Mourad

Resource-Aware Detection and Defense System against Multi-Type Attacks in the Cloud: Repeated Bayesian Stackelberg Game pdf

Authors: Omar Abdel Wahab; Jamal Bentahar; Hadi Otrok; Azzam Mourad

An endorsement-based trust bootstrapping approach for newcomer cloud services pdf

Authors: Omar Abdel Wahab, Robin Cohen, Jamal Bentahar, Hadi Otrok,Azzam Mourad, Gaith Rjoub

Ad Hoc Vehicular Fog Enabling Cooperative Low-Latency Intrusion Detection pdf

Authors: Azzam Mourad; Hanine Tout; Omar Abdel Wahab; Hadi Otrok; Toufic Dbouk

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

VANET QoS-OLSR: QoS-based Clustering Protocol for Vehicular Ad Hoc Networks pdf

Authors: Omar Abdel Wahab, Hadi Otrok, Azzam Mourad

Reputation-based cooperative detection model of selfish nodes in cluster-based QoS-OLSR protocol. pdf

Authors: Nadia Moati · Hadi Otrok · Azzam Mourad · Jean-Marc Robert

A Dempster–Shafer Based Tit-for-Tat Strategy to Regulate the Cooperation in VANET Using QoS-OLSR Protocol pdf

Authors: Omar Abdel Wahab, Hadi Otrok & Azzam Mourad

CEAP: SVM-based intelligent detection model for clustered vehicular ad hoc networks pdf

Authors: Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Jamal Bentahar

Towards Trustworthy Multi-Cloud Services Communities: A Trust-Based Hedonic Coalitional Game pdf

Authors: Omar Abdel Wahab; Jamal Bentahar; Hadi Otrok; Azzam Mourad

An endorsement-based trust bootstrapping approach for newcomer cloud services pdf

Authors: Omar Abdel Wahab, Robin Cohen, Jamal Bentahar, Hadi Otrok,Azzam Mourad, Gaith Rjoub

A novel aspect-oriented BPEL framework for the dynamic enforcement of web services security pdf

Authors: Azzam Mourad, Sara Ayoubi, Hamdi Yahyaoui, Hadi Otrok

New XACML-AspectBPEL approach for composite web services security pdf

Authors: Sara Ayoubi, Azzam Mourad, Hadi Otrok, Ahmad Shahin

XrML-RBLicensing approach adapted to the BPEL process of composite web services pdf

Authors: Hanine Tout · Azzam Mourad · Hadi Otrok

Semantics-based approach for detecting flaws, conflicts and redundancies in XACML policies pdf

Authors: Hussein Jebbaoui, Azzam Mourad, Hadi Otrok, Ramzi Haraty

AOMD approach for context-adaptable and conflict-free Web-services composition pdf

Authors: Hanine Tout, Azzam Mourad, Chamseddine Talhi, Hadi Otrok

From model-driven specification to design-level set-based analysis of XACML policies pdf

Authors: AzzamMourad, Hanine Tout, Chamseddine Talhi, Hadi Otrok, Hamdi Yahyaoui

SBA-XACML: Set-based approach providing efficient policy decision process for accessing Web services pdf

Authors: Azzam Mourad, Hussein Jebbaou

Optimal Load Distribution for the Detection of VM-Based DDoS Attacks in the Cloud pdf

Authors: Omar Abdel Wahab; Jamal Bentahar; Hadi Otrok; Azzam Mourad

Resource-Aware Detection and Defense System against Multi-Type Attacks in the Cloud: Repeated Bayesian Stackelberg Game pdf

Authors: Omar Abdel Wahab; Jamal Bentahar; Hadi Otrok; Azzam Mourad

An endorsement-based trust bootstrapping approach for newcomer cloud services pdf

Authors: Omar Abdel Wahab, Robin Cohen, Jamal Bentahar, Hadi Otrok,Azzam Mourad, Gaith Rjoub

Few are as Good as Many: An Ontology-Based Tweet Spam Detection Approach pdf

Authors: Bahia Halawi; Azzam Mourad; Hadi Otrok; Ernesto Damiani

Ad Hoc Vehicular Fog Enabling Cooperative Low-Latency Intrusion Detection pdf

Authors: Azzam Mourad; Hanine Tout; Omar Abdel Wahab; Hadi Otrok; Toufic Dbouk

Ad Hoc Vehicular Fog Enabling Cooperative Low-Latency Intrusion Detection pdf

Authors: Azzam Mourad; Hanine Tout; Omar Abdel Wahab; Hadi Otrok; Toufic Dbouk

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

Few are as Good as Many: An Ontology-Based Tweet Spam Detection Approach pdf

Authors: Bahia Halawi; Azzam Mourad; Hadi Otrok; Ernesto Damiani

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

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

DOI: 10.1109/SNAMS.2019.8931829

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

DOI: 10.1016/j.future.2020.09.030

Smart mobile computation offloading: Centralized selective and multi-objective approach pdf

Authors: Hanine Tout; Chamseddine Talhi; Nadjia Karaa; Azzam Mourad

Selective Mobile Cloud Offloading to Augment Multi-Persona Performance and Viability pdf

Authors: Hanine Tout; Chamseddine Talhi; Nadjia Kara; Azzam Mourad

Proactive machine learning-based solution for advanced manageability of multi-persona mobile computing pdf

Authors: Hanine Tout; Nadjia Karaa; Chamseddine Talhi; AzzamMourad

A Stackelberg game for distributed formation of business-driven services communities pdf

Authors: Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad

Towards Trustworthy Multi-Cloud Services Communities: A Trust-Based Hedonic Coalitional Game pdf

Authors: Omar Abdel Wahab; Jamal Bentahar; Hadi Otrok; Azzam Mourad

Resource-Aware Detection and Defense System against Multi-Type Attacks in the Cloud: Repeated Bayesian Stackelberg Game pdf

Authors: Omar Abdel Wahab; Jamal Bentahar; Hadi Otrok; Azzam Mourad

A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond pdf

Authors: Sawsan Abdulrahman; Hanine Tout; Hakima Ould-Slimane; Azzam Mourad; Chamseddine Talhi; Mohsen Guizani

Internet of Things Intrusion Detection: Centralized, On-Device, or Federated Learning? pdf

Authors: Sawsan Abdul Rahman; Hanine Tout; Chamseddine Talhi; Azzam Mourad

FedMCCS: Multicriteria Client Selection Model for Optimal IoT Federated Learning pdf

Authors: Sawsan Abdulrahman; Hanine Tout; Azzam Mourad; Chamseddine Talhi

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

DOI: 10.23919/SpliTech.2019.8783092

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

Stable federated fog formation: An evolutionary game theoretical approach Fog Federations

Authors: Ahmad Hammoud, Hadi Otrok, Azzam Mourad, Zbigniew Dziong

A Novel Federated Fog Architecture Embedding Intelligent Formation Fog Federations

Authors: Hala Shamseddine; Jana Nizam; Ahmad Hammoud; Azzam Mourad; Hadi Otrok; Haidar Harmanani; Zbigniew Dziong

Cloud federation formation using genetic and evolutionary game theoretical models Cloud Federations

Authors: Ahmad Hammoud, Azzam Mourad, Hadi Otrok, Omar Abdel Wahab, Haidar Harmanani

On the detection of passive malicious providers in cloud federations Cloud Federations

Authors: Ahmad Hammoud, Hadi Otrok, Azzam Mourad, Omar Abdel Wahab, Jamal Bentahar

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

DOI: 10.23919/SpliTech.2019.8783092

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

Proactive machine learning-based solution for advanced manageability of multi-persona mobile computing pdf

Authors: Hanine Tout; Nadjia Karaa; Chamseddine Talhi; AzzamMourad

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

Contact Information

icaangroup@gmail.com

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Over 100 Publications
Over 2000 Citation Counts
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