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20062026
most citedClassification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network

189 citations

Showing cs.CRShow all

8 papers · 1 filter

cs.CR2025★ 3 cited

Random Forest Stratified K-Fold Cross Validation on SYN DoS Attack SD-IoV

Muhammad Arif Hakimi Zamrai, Kamaludin Mohd Yusof

In response to the prevalent concern of TCP SYN flood attacks within the context of Software-Defined Internet of Vehicles (SD-IoV), this study addresses the significant challenge o…

cs.CR2025

Weaponizing Language Models for Cybersecurity Offensive Operations: Automating Vulnerability Assessment Report Validation; A Review Paper

Abdulrahman S Almuhaidib, Azlan Mohd Zain, Zalmiyah Zakaria +2

This, with the ever-increasing sophistication of cyberwar, calls for novel solutions. In this regard, Large Language Models (LLMs) have emerged as a highly promising tool for defen…

cs.CR2021

Digital Forensics Domain and Metamodeling Development Approaches

Omair Ameerbakhsh, Fahad M Ghabban, Ibrahim Alfadli +3

Metamodeling is used as a general technique for integrating and defining models from different domains. This technique can be used in diverse application domains, especially for pu…

cs.CR2021

Comparative Analysis of Network Forensic Tools and Network Forensics Processes

Fahad M Ghabban, Ibrahim Alfadli, Omair Ameerbakhsh +3

Network Forensics (NFs) is a branch of digital forensics which used to detect and capture potential digital crimes over computer networked environments crime. Network Forensic Tool…

cs.CR2021

CIPM: Common Identification Process Model for Database Forensics Field

Ibrahim Alfadli, Fahad M Ghabban, Omair Ameerbakhsh +3

Database Forensics (DBF) domain is a branch of digital forensics, concerned with the identification, collection, reconstruction, analysis, and documentation of database crimes. Dif…

cs.CR2018★ 70 cited

Redundancy Coefficient Gradual Up-weighting-based Mutual Information Feature Selection Technique for Crypto-ransomware Early Detection

Bander Ali Saleh Al-rimy, Mohd Aizaini Maarof, Syed Zainudeen Mohd Shaid

Crypto-ransomware is characterized by its irreversible effect even after the detection and removal. As such, the early detection is crucial to protect user data and files of being…