Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 5 of 5 for “"Fault Injection Attack"”.
-
Thwarting Electromagnetic Fault Injection Attack Utilizing Timing Attack Countermeasure
… more than ever before. Electromagnetic fault injection (EMFI) is an efficient class of physical attacks that can compromise the immunity of secure cryptographic algorithms. Despite successful EMFI attacks, the effects of electromagnetic injection on a processor are not well understood. …
-
Ensuring reliable and secure deployment of emergent workloads on modern microprocessors
… threats. Physical phenomena, such as hardware faults, pose a challenge to dependable systems, as they can undermine both reliability and security. While these challenges have been extensively studied in the past, recent developments in fault models and cryptographic implementations introduce …
-
Fault Injection Attacks on RSA and CSIDH
Fault injection attacks are a powerful technique that intentionally induces faults during computations to leak secret information. This thesis studies the fault injection attack techniques. The thesis first categorizes various fault attack methods by fault model and fault analysis and gives …
-
Fault Attacks on Embedded Software: New Directions in Modeling, Design, and Mitigation
… investigates an important class of hardware attacks against embedded software, which uses fault injection as a hacking tool. Fault attacks use well-chosen, targeted fault injection combined with clever system response analysis to break the security of a system. In case of a fault attack on …
-
A supervised machine learning-based framework to detect low-level fault injections in software systems
Fault injection attacks inject faults into system components, inducing abnormal software behavior. Software vulnerability analysis cannot prevent new attack vectors without software modifications. Attack detection methods utilize system-specific software features and unsupervised learning due to …