Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Neiat, Azadeh Ghari"'
Autor:
Islam, Muhammad, Fernando, Niroshinie, Loke, Seng W., Neiat, Azadeh Ghari, Pathirana, Pubudu N.
We propose Blockchain-enabled Device-enhanced Multi-access Edge Computing (BdMEC). BdMEC extends the Honeybee framework for on-demand resource pooling with blockchain technology to ensure trust, security, and accountability among devices (even when t
Externí odkaz:
http://arxiv.org/abs/2412.02233
We introduce the concept of adaptive trust in crowdsourced IoT services. It is a customized fine-grained trust tailored for specific IoT consumers. Usage patterns of IoT consumers are exploited to provide an accurate trust value for service providers
Externí odkaz:
http://arxiv.org/abs/2203.07712
We develop a novel framework for efficiently and effectively discovering crowdsourced services that move in close proximity to a user over a period of time. We introduce a moving crowdsourced service model which is modelled as a moving region. We pro
Externí odkaz:
http://arxiv.org/abs/2111.03967
Publikováno v:
IEEE Transactions on Services Computing (TSC), 2021
We propose an uncertainty-aware service approach to provide drone-based delivery services called Drone-as-a-Service (DaaS) effectively. Specifically, we propose a service model of DaaS based on the dynamic spatiotemporal features of drones and their
Externí odkaz:
http://arxiv.org/abs/2103.06513
Autor:
Bouguettaya, Athman, Sheng, Quan Z., Benatallah, Boualem, Neiat, Azadeh Ghari, Mistry, Sajib, Ghose, Aditya, Nepal, Surya, Yao, Lina
We propose a roadmap for leveraging the tremendous opportunities the Internet of Things (IoT) has to offer. We argue that the combination of the recent advances in service computing and IoT technology provide a unique framework for innovations not ye
Externí odkaz:
http://arxiv.org/abs/2103.03043
We propose a novel generic trust management framework for crowdsourced IoT services. The framework exploits a multi-perspective trust model that captures the inherent characteristics of crowdsourced IoT services. Each perspective is defined by a set
Externí odkaz:
http://arxiv.org/abs/2101.04244
We propose a novel type of service composition, called elastic composition which provides a reliable framework in a highly fluctuating IoT energy provisioning settings. We rely on crowdsourcing IoT energy (e.g., wearables) to provide wireless energy
Externí odkaz:
http://arxiv.org/abs/2011.06771
Publikováno v:
Future Generation Computer Systems, 2020
We propose a novel resilient drone service composition framework for delivery in dynamic weather conditions. We use a skyline approach to select an optimal set of candidate drone services at the source node in a skyway network. Drone services are ini
Externí odkaz:
http://arxiv.org/abs/2009.09549
We propose just-in-time memoryless trust for crowdsourced IoT services. We leverage the characteristics of the IoT service environment to evaluate their trustworthiness. A novel framework is devised to assess a service's trust without relying on prev
Externí odkaz:
http://arxiv.org/abs/2005.14413
We present a Cognitive Amplifier framework to augment things part of an IoT, with cognitive capabilities for the purpose of improving life convenience. Specifically, the Cognitive Amplifier consists of knowledge discovery and prediction components. T
Externí odkaz:
http://arxiv.org/abs/2005.06914