Abstract
JPV algorithm, proposed by Joye et al. was predicted to be faster than the combined prime generation algorithm but it runs slower in practice. This discrepancy is because only the number of Fermat test calls was compared in estimating a total running time. We present a probabilistic analysis on the total running time of JPV algorithm. This analysis is very accurate and corresponds to the experiment with only 1–2% error. Furthermore, we propose an improved JPV algorithm that uses Euclid function. It is faster than JPV algorithm and similar to the combined algorithm with the same space requirement.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
