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Naman Singhal

dblp:64/7565 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2025
0009-0001-7774-3051ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 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 · 50% Cryptographic primitives and cryptanalysis · 50%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Hardware security and side channels › fault attacks
differential fault analysis
0.512021
Entropy Reduction Model for Pinpointing Differential Fault Analysis on SIMON and SIMECK Ciphers · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2021
Cryptographic primitives and cryptanalysis › symmetric cryptography
lightweight cryptography
0.512021
Entropy Reduction Model for Pinpointing Differential Fault Analysis on SIMON and SIMECK Ciphers · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2021

Methods — techniques the papers use, named apart from their topics

entropy reduction model · 0.5
YearPublicationVenuePosition
2025 Explainable-AI-assisted feature selection for software change-proneness prediction
Ankit Rajpal, Megha Khanna, Naman Singhal
Soft Comput.3
2021 Entropy Reduction Model for Pinpointing Differential Fault Analysis on SIMON and SIMECK Ciphers
abstract
In this article, we present a formal model of entropy reduction across the rounds when a fault is injected in SIMON and SIMECK family of lightweight ciphers. The model helps to pinpoint a range of intermediate rounds in a cipher of the same family, which when subjected to a fault injection requires minimal number of such attempts to reveal the secret key. The range of such rounds depict increased vulnerability to fault analysis attacks and, thus, require a stronger countermeasure for such rounds. We demonstrate the proposed entropy-reduction model for all versions of SIMON and SIMECK. The comparisons with existing fault analysis attacks depict that our proposed model requires least number of faults and smaller attack time in almost all versions of SIMON and SIMECK. The proposed entropy-reduction model can be used as a tool for the designers for any generic lightweight Feistel cipher to identify the vulnerable rounds in the encryption/decryption algorithms.
Naman Singhal, Priyanka Joshi, Bodhisatwa Mazumdar
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.1