Shadow Stacks-a hardware-supported DSM for objects of any granularity

Clicks: 177
ID: 113310
2002
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract is not available for this article.
Login to Search Abstract
Reference Key
rudolph2002proceedingsshadow Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors S. Groh,M. Pizka,J. Rudolph;S. Groh;M. Pizka;J. Rudolph;
Journal proceedings of 3rd international conference on algorithms and architectures for parallel processing
Year 2002
DOI
10.1109/icapp.1997.651493
URL
https://sciprofiles.com/publication/view/82bdde13f5ddfd669202a1e6f55e50b4
Keywords
shadow stacks granularity stacks a hardware hardware supported dsm dsm for objects

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.