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IEEE Transactions on Sustainable Computing is a peer-reviewed journal published by IEEE, covering IoT and Edge/Fog Computing, Cloud Computing and Resource Management, Green IT and Sustainability. Over its lifetime it has published 583 papers, which have received 11,428 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Sustainable Computing, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Sustainable Computing style. No sign-up. |
| Publishes research in | IoT and Edge/Fog Computing Cloud Computing and Resource Management Green IT and Sustainability Parallel Computing and Optimization Techniques Caching and Content Delivery |
| ISSN | 2377-3782 |
| Citation impact (2-yr) | 5.32 |
| h-index | 52 |
| i10-index | 285 |
| Top institutions publishing here | Huazhong University of Science and Technology |
| Journal website | ieeexplore.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Internet of Things (IoT) in military settings generally consists of a diverse range of Internet-connected devices and nodes (e.g., medical devices and wearable combat uniforms). These IoT devices and nodes are a valuable target for cyber criminals, particularly state-sponsored or nation state actors. A common attack vector is the use of malware. In this paper,…
The new era of Web and Internet of Things (IoT) paradigm is being enabled by the proliferation of various devices like RFIDs, sensors, and actuators. Smart devices (devices having significant computational capabilities, transforming them to `smart things') are embedded in the environment to monitor and collect ambient information. In a city, this leads to Smart…
The Internet of Things has facilitated access to a large volume of sensitive information on each participating object in an ecosystem. This imposes many threats ranging from the risks of data management to the potential discrimination enabled by data analytics over delicate information such as locations, interests, and activities. To address these issues, the concept…
Deep learning methods, e.g., convolutional neural networks (CNNs) and Recurrent Neural Networks (RNNs), have achieved great success in image processing and natural language processing especially in high level vision applications such as recognition and understanding. However, it is rarely used to solve information security problems such as attack detection studied in this paper. Here, we…
The substantial growth of the distributed computing using heterogeneous computing has enabled great expansions in <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Cyber Physical Systems</i> (CPS). Combining CPS with heterogeneous cloud computing is an alternative approach for increasing sustainability of the system. However, execution of resource management in cloud systems is still encountering a few challenges, including the bottlenecks of…
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