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

collaborators

13 papers

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…

cs.CY2024★ 2 cited

The Impact of Virtual Laboratories on Active Learning and Engagement in Cybersecurity Distance Education

Victor R. Kebande

Virtual Laboratories (V Labs) have in the recent past become part and parcel of remote teaching in practical hands-on approaches, particularly in Cybersecurity distance courses. Th…

cs.LG2023★ 3 cited

Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study

Alexander Galozy, Sadi Alawadi, Victor Kebande +1

This paper investigates the issue of privacy in a learning scenario where users share knowledge for a recommendation task. Our study contributes to the growing body of research on…

cs.SE2023★ 15 cited

FedCSD: A Federated Learning Based Approach for Code-Smell Detection

Sadi Alawadi, Khalid Alkharabsheh, Fahed Alkhabbas +4

This paper proposes a Federated Learning Code Smell Detection (FedCSD) approach that allows organizations to collaboratively train federated ML models while preserving their data p…

cs.CR2020

Real-time monitoring as a supplementary security component of vigilantism in modern network environments

Victor R. Kebande, Nickson M. Karie, Richard A. Ikuesan

The phenomenon of network vigilantism is autonomously attributed to how anomalies and obscure activities from adversaries can be tracked in realtime. Needless to say, in today dyna…

cs.CR2020★ 4 cited

Internet of Threats Introspection in Dynamic Intelligent Virtual Sensing

Victor R. Kebande, Joseph Bugeja, Jan A. Persson

Continued ubiquity of communication infrastructure across Internet of Things (IoT) ecosystems has seen persistent advances of dynamic, intelligent, virtualised sensing and actuatio…

cs.CR2020★ 1 cited

Detecting Centralized Architecture-Based Botnets using Travelling Salesperson Non-Deterministic Polynomial-Hard problem, TSP-NP Technique

Victor R. Kebande, Nickson M. Karie, Richard Adeyemi Ikuesan +2

The threats posed by botnets in the cyberspace continue to grow each day and it has become very hard to detect or infiltrate the cynicism of bots. This, is owing to the fact, that,…