New technique offers faster security for non-volatile memory tech
Date:
April 5, 2022
Source:
North Carolina State University
Summary:
Researchers have developed a technique that leverages hardware
and software to improve file system security for next-generation
memory technologies called non-volatile memories (NVMs). The new
encryption technique also permits faster performance than existing
software security technologies.
FULL STORY ========================================================================== Researchers have developed a technique that leverages hardware and
software to improve file system security for next-generation memory technologies called non-volatile memories (NVMs). The new encryption
technique also permits faster performance than existing software security technologies.
========================================================================== "NVMs are an emerging technology that allows rapid access to the
data, and retains data even when a system crashes or loses power,"
says Amro Awad, senior author of a paper on the work and an assistant
professor of electrical and computer engineering at North Carolina
State University. "However, the features that give NVMs these attractive characteristics also make it difficult to encrypt files on NVM devices --
which raises security concerns. We've developed a way to secure files on
NVM devices without sacrificing the speed that makes NVMs attractive."
"Our technique allows for file-level encryption in fast NVM memories,
while cutting the related execution time significantly," says Kazi Abu
Zubair, first author of the paper and a Ph.D. student at NC State.
Traditionally, computers use two types of data storage. Dynamic random
access memory (DRAM) allows quick access to stored data, but will lose
that data if the system crashes. Long-term storage technologies, such as
hard drives, are good at retaining data even if a system loses power --
but store the data in a way that makes it slower to access.
NVMs combine the best features of both technologies. However, securing
files on NVM devices can be challenging.
Existing methods for file system encryption use software, which is not particularly fast. Historically, this wasn't a problem because the
technologies for accessing file data from long-term storage devices
weren't particularly fast either.
==========================================================================
"But now that NVMs are allowing faster access to file data, the software approach to file encryption has become a problem, because it slows down
overall operations," Abu Zubair says.
"To address this challenge, we've developed a novel architecture that incorporates some elements of the encryption and decryption process into hardware, which is faster than software. As a result, processes that
allow users to store and retrieve file data securely are significantly
faster." In simulations, the researchers found that using their novel encryption architecture to secure files in NVMs slowed down operations
by 3.8%, when running workloads that were representative of real-world applications. When using software approaches to provide security for
the same workloads, operations slowed by about 200%.
"If this was implemented in commercial processors, it would significantly improve performance for secure file operation in large data centers and
cloud systems," Abu Zubair says.
"While this work addresses file encryption, we think it is important
to assess other security functions -- such as auditing and run-time
ransomware detection -in the context of direct access file systems," says
Awad. "And addressing those security functions using traditional software approaches can also slow system performance. We're optimistic that our
hybrid hardware/software approach may be able to improve performance for
those functions as well -- that's an area we're exploring." The paper, "Filesystem Encryption or Direct-Access for NVM Filesystems? Let's
Have Both!," will be presented April 5 at the 28th IEEE International
Symposium on High-Performance Computer Architecture (HPCA-22). The paper
was co-authored by David Mohaisen of the University of Central Florida.
The work was done with support from the National Science Foundation
under grant 1814417.
========================================================================== Story Source: Materials provided by
North_Carolina_State_University. Original written by Matt Shipman. Note: Content may be edited for style and length.
==========================================================================
Link to news story:
https://www.sciencedaily.com/releases/2022/04/220405102846.htm
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