all InfoSec news
ALARM: Active LeArning of Rowhammer Mitigations. (arXiv:2211.16942v1 [cs.CR])
Dec. 1, 2022, 2:10 a.m. | Amir Naseredini, Martin Berger, Matteo Sammartino, Shale Xiong
cs.CR updates on arXiv.org arxiv.org
Rowhammer is a serious security problem of contemporary dynamic random-access
memory (DRAM) where reads or writes of bits can flip other bits. DRAM
manufacturers add mitigations, but don't disclose details, making it difficult
for customers to evaluate their efficacy. We present a tool, based on active
learning, that automatically infers parameter of Rowhammer mitigations against
synthetic models of modern DRAM.
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
Financial Crimes Compliance - Senior - Consulting - Location Open
@ EY | New York City, US, 10001-8604
Software Engineer - Cloud Security
@ Neo4j | Malmö
Security Consultant
@ LRQA | Singapore, Singapore, SG, 119963
Identity Governance Consultant
@ Allianz | Sydney, NSW, AU, 2000
Educator, Cybersecurity
@ Brain Station | Toronto
Principal Security Engineer
@ Hippocratic AI | Palo Alto