8 papers · 1 filter
Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding
Nelly Elsayed, Zag ElSayed, Navid Asadizanjani
High-dimensional feature representations are widely used in machine learning-based cyberattack detection systems. However, they increase computational complexity and may hinder dep…
Security and Privacy in Virtual and Robotic Assistive Systems: A Comparative Framework
Nelly Elsayed
Assistive technologies increasingly support independence, accessibility, and safety for older adults, people with disabilities, and individuals requiring continuous care. Two major…
Context-Aware Phishing Email Detection Using Machine Learning and NLP
Amitabh Chakravorty, Matthew Price, Nelly Elsayed +1
Phishing attacks remain among the most prevalent cybersecurity threats, causing significant financial losses for individuals and organizations worldwide. This paper presents a mach…
Detecting Fileless Cryptojacking in PowerShell Using AST-Enhanced CodeBERT Models
Said Varlioglu, Nelly Elsayed, Murat Ozer +2
With the emergence of remote code execution (RCE) vulnerabilities in ubiquitous libraries and advanced social engineering techniques, threat actors have started conducting widespre…
Extreme Learning Machine Based System for DDoS Attacks Detections on IoMT Devices
Nelly Elsayed, Lily Dzamesi, Zag ElSayed +1
The Internet of Medical Things (IoMT) represents a paradigm shift in the healthcare sector, enabling the interconnection of medical devices, sensors, and systems to enhance patient…
CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by crypto jacking prevention Models
Zag ElSayed, Ahmed Abdelgawad, Nelly Elsayed
The rapid integration of the Internet of Things (IoT) and Internet of Medical (IoM) devices in the healthcare industry has markedly improved patient care and hospital operations bu…