activity
20202026
most citedFedCSD: A Federated Learning Based Approach for Code-Smell Detection

15 citations · 25 across the 12 of their papers we have counts for

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Showing 2026Show all

7 papers · 1 filter

cs.CR2026

Mitigating 51% Attacks in Blockchain Systems Through Early Detection and Checkpoint-Based Defense

Victor Kebande

The 51% attack remains one of the significant security concern in Proof-of-Work (PoW) blockchains, where increasing hash-power concentration can create a malicious majority-control…

cs.CR2026

A 12-Step Process for Industrial Internet of Things (IIoT) Forensics

Victor Kebande

The increasing deployment of the Industrial Internet of Things (IIoT) in critical infrastructure sectors like manufacturing, healthcare, and transportation has shown new challenges…

cs.CR2026

AoNT Trap: Borromean-Entangled Mutable Chameleon Trapdoor Hash All-or-Nothing Stream Cipher

Victor Kebande

This work introduces the Borromean-Entangled Chameleon Trapdoor Hash All-or-Nothing (AoNT) Stream Cipher (BEC-Trap), a novel construction that merges Borromean interdependence, tra…

cs.CR2026

Structural Analysis of Cryptographic Sequences using Stringology-Based Fingerprinting

Victor Kebande

Cryptographic primitives such as stream ciphers,Pseudorandom Number Generators (PRNGs), and block cipher modes produce sequences that are designed to be statistically indistinguish…

cs.CR2026

Stringology Based Cryptology

Victor Kebande

The modern cryptographic primitives are known to generate large volumes of sequential data like keystreams, ciphertext blocks, and hash outputs. Traditional cryptgraphic evaluation…

cs.CR2026

Neural Stringology Based Cryptanalysis of EChaCha20

Victor Kebande

Modern stream ciphers rely on strong diffusion and pseudorandom keystream generation (PKG) to resist cryptanalysis. While conventional evaluation methods such as statistical random…

cs.CR2026

Stringology-Based Cryptanalysis for EChaCha20 Stream Cipher

Victor Kebande

Stringology-Based Cryptanalysis (SBC) offers a suitable and a structurally aligned approach for uncovering structural patterns in stream ciphers that traditional statistical tests…