Detecting RowHummer attacks using frequency arrays
Abstract
Purpose: creating an algorithm to protect DRAM from the RowHammer vulnerability that does not have the uneven refresh vulnerability.
Findings: demonstrated a RowHammer detection mechanism based on frequency arrays that is not vulnerable to uneven updating vulnerability.
Practical implications: presented protection algorithm can improve data security in information systems and contribute to a better understanding and improvement of DRAM memory protection methods in general.
Value: presented new tools for detecting RowHammer attacks based on access frequency. Demonstrated protection results on new types of DDR5 memory.
Future research: this research opens new ways for future research into the development of defenses against RowHummer-type attacks and related memory attacks via side channels.
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References
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