Search Results - "Otrok, Hadi"

SenseChain: A blockchain-based crowdsensing framework for multiple requesters and multiple workers by Kadadha, Maha, Otrok, Hadi, Mizouni, Rabeb, Singh, Shakti, Ouali, Anis

“…In this paper, we propose a decentralized crowdsensing framework for multiple requesters with multiple workers built on Ethereum blockchain- SenseChain…”
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A blockchain-enabled relay selection for QoS-OLSR in urban VANET: A Stackelberg game model by Kadadha, Maha, Otrok, Hadi

“…In this paper, a blockchain-enabled Stackelberg game model is proposed for the Quality-of-Service Optimized Link State Routing (QoS-OLSR) protocol in urban…”
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Gale-Shapley Matching Game Selection-A Framework for User Satisfaction by Abououf, Menatalla, Singh, Shakti, Otrok, Hadi, Mizouni, Rabeb, Ouali, Anis

“…In large-scale mobile crowd sensing systems, multi-task-oriented worker selection has shown an increased efficiency in workers' allocation. However, existing…”
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ABCrowd An Auction Mechanism on Blockchain for Spatial Crowdsourcing by Kadadha, Maha, Mizouni, Rabeb, Singh, Shakti, Otrok, Hadi, Ouali, Anis

“…In this paper, a fully distributed auction-blockchain-based crowdsourcing framework is proposed-ABCrowd. In a typical crowdsourcing framework, independent…”
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A Context-aware Blockchain-based Crowdsourcing Framework: Open Challenges and Opportunities by Kadadha, Maha, Singh, Shakti, Mizouni, Rabeb, Otrok, Hadi

“…Crowdsourcing is a rapidly growing paradigm that commercial platforms such as Amazon MTurk and UpWork are adopting for allocating tasks to workers. Such…”
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Collaborative Crowdsourced Vehicles for Last-Mile Delivery Application Using Hedonic Cooperative Games by Elsokkary, Nada, Singh, Shakti, Mizouni, Rabeb, Otrok, Hadi, Barada, Hassan

“…In this paper, the problem of collaboration in crowdsourced last-mile delivery is addressed, where multiple crowdsourced vehicles cooperate to fulfill tasks…”
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A greedy-proof incentive-compatible mechanism for group recruitment in mobile crowd sensing by Suliman, Ahmed, Otrok, Hadi, Mizouni, Rabeb, Singh, Shakti, Ouali, Anis

“…As crowd sensing gains more popularity, the issue of recruiting the best workers for a fair cost becomes more relevant. In this paper, we tackle the problem of…”
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Data-Driven Dynamic Active Node Selection for Event Localization in IoT Applications - A Case Study of Radiation Localization by Alagha, Ahmed, Singh, Shakti, Mizouni, Rabeb, Ouali, Anis, Otrok, Hadi

“…In this paper, the problem of active node selection for localization tasks, on the Internet of Things (IoT) sensing applications, is addressed. IoT plays a…”
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Hash-Comb: A Hierarchical Distance-Preserving Multi-Hash Data Representation for Collaborative Analytics by Almahmoud, Abdelrahman, Damiani, Ernesto, Otrok, Hadi

“…Data privacy regulations like the EU GDPR allow the use of hashing techniques to anonymize data that may contain personal information. However, cryptographic…”
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Few are as Good as Many: An Ontology-Based Tweet Spam Detection Approach by Halawi, Bahia, Mourad, Azzam, Otrok, Hadi, Damiani, Ernesto

“…Due to the high popularity of Twitter, spammers tend to favor its use in spreading their commercial messages. In the context of detecting twitter spams,…”
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A Misbehaving-Proof Game Theoretical Selection Approach for Mobile Crowd Sourcing by Abououf, Menatalla, Otrok, Hadi, Singh, Shakti, Mizouni, Rabeb, Ouali, Anis

“…With the tremendous advances in ubiquitous computing, mobile crowd sourcing (MCS) has become an appealing part of the Internet of Things (IoT). In MCS systems,…”
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A Crowd-Based Efficient Fault-Proof Localization System for IoT and MCS by Ghimire, Adarsh, Shrestha, Selina, Otrok, Hadi

“…In this paper, an efficient and fault-proof active node selection approach for localization tasks in Internet of Things (IoT) and Mobile Crowd Sensing (MCS)…”
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A Mobile Edge-Based CrowdSensing Framework for Heterogeneous IoT by Lamaazi, Hanane, Mizouni, Rabeb, Singh, Shakti, Otrok, Hadi

“…In this article, we consider the problem of distributed offloading in mobile crowdsensing (MCS) by the means of mobile edge computing(MEC). Deploying MEC in…”
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Trust-3DM: Trustworthiness-based Data-Driven Decision-Making Framework using smart Edge Computing for Continuous Sensing by Lamaazi, Hanane, Mizouni, Rabeb, Otrok, Hadi, Singh, Shakti, Damiani, Ernesto

“…Mobile Edge Computing (MEC) has been proposed as an efficient solution for Mobile crowdsensing (MCS). It allows the parallel collection and processing of data…”
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A biometrics-based behavioral trust framework for continuous mobile crowd sensing recruitment by Nasser, Ruba, Mizouni, Rabeb, Otrok, Hadi, Singh, Shakti, Abououf, Menatalla, Kadadha, Maha

“…The emergence of mobile crowd sensing (MCS) platforms makes it possible to collect data in a time and cost efficient manner. However, one of the challenges in…”
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Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems by Wahab, Omar Abdel, Mourad, Azzam, Otrok, Hadi, Taleb, Tarik

“…The communication and networking field is hungry for machine learning decision-making solutions to replace the traditional model-driven approaches that proved…”
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Target localization using Multi-Agent Deep Reinforcement Learning with Proximal Policy Optimization by Alagha, Ahmed, Singh, Shakti, Mizouni, Rabeb, Bentahar, Jamal, Otrok, Hadi

“…Target localization refers to identifying a target location based on sensory data readings gathered by sensing agents (robots, UAVs), surveying a certain area…”
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Graph convolutional recurrent networks for reward shaping in reinforcement learning by Sami, Hani, Bentahar, Jamal, Mourad, Azzam, Otrok, Hadi, Damiani, Ernesto

“…In this paper, we consider the problem of low-speed convergence in Reinforcement Learning (RL). As a solution, various potential-based reward shaping…”
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Demand-Driven Deep Reinforcement Learning for Scalable Fog and Service Placement by Sami, Hani, Mourad, Azzam, Otrok, Hadi, Bentahar, Jamal

“…The increasing number of Internet of Things (IoT) devices necessitates the need for a more substantial fog computing infrastructure to support the users'…”
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On Demand Fog Federations for Horizontal Federated Learning in IoV by Hammoud, Ahmad, Otrok, Hadi, Mourad, Azzam, Dziong, Zbigniew

“…Federated learning using fog computing can suffer from the dynamic behavior of some of the participants in its training process, especially in…”
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