DSH: Deniable secret handshake framework
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 11125 LNCS, Page: 341-353
2018
- 9Citations
- 151Usage
- 1Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations9
- Citation Indexes9
- CrossRef1
- Usage151
- Downloads112
- Abstract Views39
- Captures1
- Readers1
Conference Paper Description
Secret handshake is a useful primitive that allows a group of authorized users to establish a shared secret key and authenticate each other anonymously. It naturally provides a certain degree of user privacy and deniability which are also desirable for some private conversations that require secure key establishment. The inherent user privacy enables a private conversation between authorized users without revealing their real identities. While deniability allows authorized users to later deny their participating in conversations. However, deniability of secret handshakes lacks a comprehensive treatment in the literature. In this paper, we investigate the deniability of existing secret handshakes. We propose the first generic framework that converts any secret handshake protocols into fully deniable ones. In particular, we define two formal security models, including session key security and deniability for our proposed framework.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85054388895&origin=inward; http://dx.doi.org/10.1007/978-3-319-99807-7_21; http://link.springer.com/10.1007/978-3-319-99807-7_21; http://link.springer.com/content/pdf/10.1007/978-3-319-99807-7_21; https://ink.library.smu.edu.sg/sis_research/4158; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=5162&context=sis_research; https://ro.uow.edu.au/eispapers1/2224; https://ro.uow.edu.au/cgi/viewcontent.cgi?article=3230&context=eispapers1; https://dx.doi.org/10.1007/978-3-319-99807-7_21; https://link.springer.com/chapter/10.1007/978-3-319-99807-7_21
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know