VLDB 2026 Research / reviewers in the wild / expert
Hamed Ramzanipour
dblp:329/5449
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
1 paper |
Hardware security and side channels · 67% Cryptographic primitives and cryptanalysis · 33% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware security and side channels › fault attacks
differential fault analysis |
0.8 | 1 | 2024 | Linked Fault Analysis · IEEE Trans. Inf. Forensics Secur. 2024 |
Cryptographic primitives and cryptanalysis › cryptanalysis
fault analysis |
0.8 | 1 | 2024 | Linked Fault Analysis · IEEE Trans. Inf. Forensics Secur. 2024 |
Hardware security and side channels
fault attacks |
0.8 | 1 | 2024 | Linked Fault Analysis · IEEE Trans. Inf. Forensics Secur. 2024 |
Methods — techniques the papers use, named apart from their topics
linked fault analysis · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Linked Fault AnalysisabstractNumerous fault models with distinct characteristics and effects have been developed. The costs, repeatability, and practicability of these models should be assessed. Moreover, there must be effective ways to use the injected fault to retrieve the secret key, particularly if the implementation includes any countermeasures. In this paper, we introduce a new fault analysis called “linked fault analysis” (LFA), a more powerful technique than other well-known fault attacks against implementations of symmetric primitives, especially in software implementations. For known fault analysis, the basis for the fault model is either the bias over the faulty value or the relationship between the correct value and the faulty one. In the LFA, however, a single fault involves two intermediate values. The faulty target variable,$u'$, is linked to a second variable,$v$, such that a particular relation holds:$u'=l(v)$. LFA lets the attacker perform fault attacks without the input control, using far fewer data than previously introduced fault attacks in the same class. We show the utilization of LFA in the presence or absence of typical redundancy-based countermeasures by introducing “Linked Differential Fault Analysis” (LDFA) and “Linked Ineffective Fault Analysis” (LIFA). We also demonstrate that, under specific circumstances, LFA is still effective even when masking protections are in place. We have performed our attacks against the public implementation of AES and PRESENT in ATMEGA328p to show the feasibility of LFA in the real world. The practical results and simulations validate our theoretical models as well. Ali Asghar Beigizad, Hadi Soleimany, Sara Zarei 0001, Hamed Ramzanipour |
IEEE Trans. Inf. Forensics Secur. | 4 |