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February 28, 2026ACM Journal on Emerging Technologies in Computing Systems2 citationsOpen Access

Understanding the Security Landscape of Embedded Non-Volatile Memories: A Comprehensive Survey

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ZTZakia Tamanna TishaAuburn UniversityUGUjjwal Guin

Key Points

  • The aim is to explore the security landscape of embedded non-volatile memories and their vulnerabilities.
  • Reviewed architectural vulnerabilities in embedded non-volatile memories.
  • Analyzed security primitives such as physically unclonable functions and true random number generators.
  • Evaluated various security threats including physical and logical attacks.
  • Studied publication trends in the eNVM domain since the early 2000s.
  • Identified key vulnerabilities in eNVMs related to data retention capabilities.
  • Documented various physical and logical security threats to eNVMs.
  • Highlighted the importance of security primitives in enhancing eNVM security.
  • Showed a rise in research activity related to eNVM security since the early 2000s.

Abstract

The modern semiconductor industry requires memory solutions that can keep pace with the high-speed demands of high-performance computing. Embedded non-volatile memories (eNVMs) address these requirements by offering faster access to stored data at an improved computational throughput and efficiency. Furthermore, these technologies offer numerous appealing features, including limited area-energy-runtime budget and data retention capabilities. Among these, the data retention feature of eNVMs has garnered particular interest within the semiconductor community. Although this property allows eNVMs to retain data even in the absence of a continuous power supply, it also introduces some vulnerabilities, prompting security concerns. These concerns have sparked increased interest in examining the broader security implications associated with eNVM technologies. This paper examines the security aspects of eNVMs by discussing the reasons for vulnerabilities in specific memories from an architectural point of view. Additionally, this paper extensively reviews eNVM-based security primitives, such as physically unclonable functions and true random number generators, as well as techniques like logic obfuscation. The paper also explores a broad spectrum of security threats to eNVMs, including physical attacks such as side-channel attacks, fault injection, and probing, as well as logical threats like information leakage, denial-of-service, and thermal attacks. Finally, the paper presents a study of publication trends in the eNVM domain since the early 2000s, reflecting the rising momentum and research activity in this field.

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Cite This Study

Tisha et al. (2026) studied this question.

synapsesocial.com/papers/69a287b00a974eb0d3c03933https://doi.org/10.1145/3799251
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