| 1. |
- Baqer Mollah, Muhammad, et al.
(författare)
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Secure Data Sharing and Searching at the Edge of Cloud-Assisted Internet of Things
- 2017
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Ingår i: IEEE Cloud Computing. - : IEEE. - 2325-6095. ; 4:1, s. 34-42
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Tidskriftsartikel (refereegranskat)abstract
- Over the last few years, smart devices are able to communicate with each other and with Internet/cloud from short to long range. As a consequence, a new paradigm is introduced called Internet of Things (IoT). However, by utilizing cloud computing, resource limited IoT smart devices can get various benefits like offload data storage and processing burden at cloud. To support latency sensitive, real-time data processing, mobility and high data rate IoT applications, working at the edge of the network offers more benefits than cloud. In this paper, we propose an efficient data sharing scheme that allows smart devices to securely share data with others at the edge of cloud-assisted IoT. In addition, we also propose a secure searching scheme to search desired data within own/shared data on storage. Finally, we analyze the performance based on processing time of our proposed scheme. The results demonstrate that our scheme has potential to be effectively used in IoT applications
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| 2. |
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| 3. |
- Elmroth, Erik, et al.
(författare)
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Connecting Fog and Cloud Computing
- 2017
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Ingår i: IEEE Cloud Computing. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 2325-6095. ; 4:2, s. 22-25
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Tidskriftsartikel (refereegranskat)abstract
- Fog computing provides a conceptual approach for virtualizing and orchestrating computing, networking, and storage resources to process data. This issue helps to progress the fog computing research field and offer solutions.
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| 4. |
- Fazio, Maria, et al.
(författare)
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A Note on the Convergence of IoT, Edge, and Cloud Computing in Smart Cities
- 2018
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Ingår i: IEEE Cloud Computing. - : IEEE. - 2325-6095. ; 5:5, s. 22-24
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Tidskriftsartikel (refereegranskat)abstract
- The purpose of the special issue is to cover all aspects of design and implementation, as well as deployment and evaluation of solutions aimed at the osmotic convergence of IoT, edge, and cloud computing, with specific reference to the smart cities application scenario.
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| 5. |
- Mitra, Karan, et al.
(författare)
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A Mobile Cloud Computing System for Emergency Management
- 2014
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Ingår i: I E E E Cloud Computing. - 2325-6095. ; 1:4, s. 30-38
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Tidskriftsartikel (refereegranskat)abstract
- Emergency management systems deal with the dynamic processing of data, where response teams must continuously adapt to the changing conditions at the scene of the emergency. Response teams must make critical decisions in highly demanding situations using large volumes of sensor data. Mobile devices have limited processing, storage, and battery resources; therefore, the sensed data from the scene of the emergency must be transmitted and processed quickly using the best available networks and clouds. Mobile cloud computing (MCC) is expected to play a critical role in the computation and storage offloading of sensor data to the best available clouds. However, applications running on mobile devices using clouds and heterogeneous access networks such as Wi-Fi and 3G are prone to unpredictable cloud workloads, network congestion, and handoffs. This article presents M2C2, a system for mobility management in MCC, that supports mechanisms for multihoming, cloud and network probing, and cloud and network selection. Through a prototype implementation and experiments, the authors show that M2C2 supports mobility efficiently in MCC scenarios such as emergency management.
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| 6. |
- Porambage, Pawani, et al.
(författare)
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Quest for Privacy in the Internet of Things
- 2016
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Ingår i: I E E E Cloud Computing. - 2325-6095. ; 3:2, s. 36-45
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Tidskriftsartikel (refereegranskat)abstract
- The Internet of Things (IoT) is the current evolutionary paradigm of networking and the key driving force toward a smart world. Although privacy in the IoT is highly regarded to ensure the protection of users and personal information from the perspective of individual or cooperative users, it's insufficiently studied. As members of the always-connected paradigm of the massive IoT world, people can scarcely control the disclosure of their personal information. The biggest challenge is to allow users to experience the best utilization of IoT-based products and services with the fewest privacy threats and failures. This article provides a holistic view of the challenges of and issues related to preserving IoT privacy, as well as the existing solutions. Privacy by design (PbD) is identified as the key solution for many IoT privacy issues. The article also discusses hot topics in IoT privacy and future research directions.
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| 7. |
- Xu, Dan, et al.
(författare)
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Traffic-aware resource provisioning for distributed clouds
- 2015
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Ingår i: I E E E Cloud Computing. - 2325-6095. ; 2:1, s. 30-39
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Tidskriftsartikel (refereegranskat)abstract
- Cloud computing's aim is to provide prompt, reliable, diverse, and yet cost-effective Internet services. To achieve this goal, existing work has considered traffic-aware resource provisioning to reduce cloud energy costs. However, much room remains for achieving a fine-grained traffic-awareness. In this article, the authors examine important cloud traffic characteristics and discuss optimization solutions to reduce energy costs while maintaining service quality. Their solution improves traffic-awareness and efficiently reduces energy costs for distributed clouds with dynamic and diverse traffic
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| 8. |
- Yan, Zheng, et al.
(författare)
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Encrypted Data Management with Deduplication in Cloud Computing
- 2016
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Ingår i: I E E E Cloud Computing. - 2325-6095. ; 3:2, s. 28-35
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Tidskriftsartikel (refereegranskat)abstract
- Cloud computing plays an important role in supporting data storage, processing, and management in the Internet of Things (IoT). To preserve cloud data confidentiality and user privacy, cloud data are often stored in an encrypted form. However, duplicated data that are encrypted under different encryption schemes could be stored in the cloud, which greatly decreases the utilization rate of storage resources, especially for big data. Several data deduplication schemes have recently been proposed. However, most of them suffer from security weakness and lack of flexibility to support secure data access control. Therefore, few can be deployed in practice. This article proposes a scheme based on attribute-based encryption (ABE) to deduplicate encrypted data stored in the cloud while also supporting secure data access control. The authors evaluate the scheme's performance based on analysis and implementation. Results show the efficiency, effectiveness, and scalability of the scheme for potential practical deployment.
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