8 papers
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…
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…
Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging
Robby Hoover, Nelly Elsayed, Zag ElSayed +1
Medical Imagings are considered one of the crucial diagnostic tools for different bones-related diseases, especially bones fractures. This paper investigates the robustness of pre-…
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…
Carbon Per Transistor (CPT): The Golden Formula for Green Computing Metrics
Zag ElSayed, Nelly Elsayed, Ahmed Abdelgawad
As computing power advances, the environmental cost of semiconductor manufacturing and operation has become a critical concern. However, current sustainability metrics fail to quan…