Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized natural language understanding and generation. They possess deep language comprehension, human-like text generation capabilities, contextual awareness, and robust problem-solving skills, making them invaluable in various domains (e.g., search engines, customer support, translation). In the meantime, LLMs have also gained traction in the security community,…
High-Confidence Computing Template
Write in a clean editor, then format for High-Confidence Computing in one click — DocuGuru applies the official Elsevier template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the High-Confidence Computing format
High-Confidence Computing is a peer-reviewed journal published by Elsevier, covering Blockchain Technology Applications and Security, Privacy-Preserving Technologies in Data, Cryptography and Data Security.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, High-Confidence Computing 12 (2023) 45–58.
Formats any DOI in High-Confidence Computing style. No sign-up. |
| Publishes research in | Blockchain Technology Applications and Security Privacy-Preserving Technologies in Data Cryptography and Data Security IoT and Edge/Fog Computing Network Security and Intrusion Detection |
| ISSN | 2667-2952 |
| Citation impact (2-yr) | 11.83 |
| h-index | 24 |
| i10-index | 75 |
| Total citations | 3,391 |
| Article processing charge | $1,500 |
| Open access | Yes |
| Top institutions publishing here | Shandong University of Science and Technology |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in High-Confidence Computing per year
Citation impact of High-Confidence Computing by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in High-Confidence Computing
Federated Learning is a machine learning scheme in which a shared prediction model can be collaboratively learned by a number of distributed nodes using their locally stored data. It can provide better data privacy because training data are not transmitted to a central server. Federated learning is well suited for edge computing applications and can…
Owing to the incremental and diverse applications of cryptocurrencies and the continuous development of distributed system technology, blockchain has been broadly used in fintech, smart homes, public health, and intelligent transportation due to its properties of decentralization, collective maintenance, and immutability. Although the dynamism of blockchain abounds in various fields, concerns in terms of network…
Recent years have witnessed an increasing interest in the blockchain technology, and many blockchain-based applications have been developed to take advantage of its decentralization, transparency, fault tolerance, and strong security. In the field of smart grids, a plethora of proposals have emerged to utilize blockchain for augmenting intelligent energy management, energy trading, security and privacy…
Metaverse has rekindled human beings’ desire to further break space-time barriers by fusing the virtual and real worlds. However, security and privacy threats hinder us from building a utopia. A metaverse embraces various techniques, while at the same time inheriting their pitfalls and thus exposing large attack surfaces. Blockchain, proposed in 2008, was regarded as…