20 citations · 69 across the 33 of their papers we have counts for
36 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…
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…
Cybersecurity and Frequent Cyber Attacks on IoT Devices in Healthcare: Issues and Solutions
Zag ElSayed, Ahmed Abdelgawad, Nelly Elsayed
Integrating Internet of Things (IoT) devices in healthcare has revolutionized patient care, offering improved monitoring, diagnostics, and treatment. However, the proliferation of…
Not as Simple as It Looked: Are We Concluding for Biased Arrest Practices?
Murat Ozer, Halil Akbas, Ismail Onat +6
This study examines racial disparities in violent arrest outcomes, challenging conventional methods through a nuanced analysis of Cincinnati Police Department data. Acknowledging t…
Deep Learning Approaches for Detecting Adversarial Cyberbullying and Hate Speech in Social Networks
Sylvia Worlali Azumah, Nelly Elsayed, Zag ElSayed +2
Cyberbullying is a significant concern intricately linked to technology that can find resolution through technological means. Despite its prevalence, technology also provides solut…
The Pulse of Fileless Cryptojacking Attacks: Malicious PowerShell Scripts
Said Varlioglu, Nelly Elsayed, Eva Ruhsar Varlioglu +2
Fileless malware predominantly relies on PowerShell scripts, leveraging the native capabilities of Windows systems to execute stealthy attacks that leave no traces on the victim's…
A Novel Zero-Trust Machine Learning Green Architecture for Healthcare IoT Cybersecurity: Review, Analysis, and Implementation
Zag ElSayed, Nelly Elsayed, Sajjad Bay
The integration of Internet of Things (IoT) devices in healthcare applications has revolutionized patient care, monitoring, and data management. The Global IoT in Healthcare Market…
TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification
Nelly Elsayed, Constantinos L. Zekios, Navid Asadizanjani +1
Ensemble modeling has been widely used to solve complex problems as it helps to improve overall performance and generalization. In this paper, we propose a novel TemporalAugmenter…
Big Data and Deep Learning in Smart Cities: A Comprehensive Dataset for AI-Driven Traffic Accident Detection and Computer Vision Systems
Victor Adewopo, Nelly Elsayed, Zag Elsayed +4
In the dynamic urban landscape, where the interplay of vehicles and pedestrians defines the rhythm of life, integrating advanced technology for safety and efficiency is increasingl…
CautionSuicide: A Deep Learning Based Approach for Detecting Suicidal Ideation in Real Time Chatbot Conversation
Nelly Elsayed, Zag ElSayed, Murat Ozer
Suicide is recognized as one of the most serious concerns in the modern society. Suicide causes tragedy that affects countries, communities, and families. There are many factors th…
Agricultural 4.0 Leveraging on Technological Solutions: Study for Smart Farming Sector
Emmanuel Kojo Gyamfi, Zag ElSayed, Jess Kropczynski +2
By 2050, it is predicted that there will be 9 billion people on the planet, which will call for more production, lower costs, and the preservation of natural resources. It is antic…
A Secure Open-Source Intelligence Framework For Cyberbullying Investigation
Sylvia Worlali Azumah, Victor Adewopo, Zag ElSayed +2
Cyberbullying has become a pervasive issue based on the rise of cell phones and internet usage affecting individuals worldwide. This paper proposes an open-source intelligence pipe…
AI on the Road: A Comprehensive Analysis of Traffic Accidents and Accident Detection System in Smart Cities
Victor Adewopo, Nelly Elsayed, Zag Elsayed +3
Accident detection and traffic analysis is a critical component of smart city and autonomous transportation systems that can reduce accident frequency, severity and improve overall…
Exploring the Journey to Drug Overdose: Applying the Journey to Crime Framework to Drug Sales Locations and Overdose Death Locations
Murat Ozer, Ismail Onat, Halil Akbas +3
Drug overdose is a pressing public health concern in the United States, resulting in a significant number of fatalities each year. In this study, we employ the Journey to Crime (JT…
Machine Learning Based IoT Adaptive Architecture for Epilepsy Seizure Detection: Anatomy and Analysis
Zag ElSayed, Murat Ozer, Nelly Elsayed +1
A seizure tracking system is crucial for monitoring and evaluating epilepsy treatments. Caretaker seizure diaries are used in epilepsy care today, but clinical seizure monitoring m…
Cyberbullying in Text Content Detection: An Analytical Review
Sylvia W Azumah, Nelly Elsayed, Zag ElSayed +1
Technological advancements have resulted in an exponential increase in the use of online social networks (OSNs) worldwide. While online social networks provide a great communicatio…
Deep Learning Approach for Early Stage Lung Cancer Detection
Saleh Abunajm, Nelly Elsayed, Zag ElSayed +1
Lung cancer is the leading cause of death among different types of cancers. Every year, the lives lost due to lung cancer exceed those lost to pancreatic, breast, and prostate canc…
A Convolutional-based Model for Early Prediction of Alzheimer's based on the Dementia Stage in the MRI Brain Images
Shrish Pellakur, Nelly Elsayed, Zag ElSayed +1
Alzheimer's disease is a degenerative brain disease. Being the primary cause of Dementia in adults and progressively destroys brain memory. Though Alzheimer's disease does not have…
IoT Botnet Detection Using an Economic Deep Learning Model
Nelly Elsayed, Zag ElSayed, Magdy Bayoumi
The rapid progress in technology innovation usage and distribution has increased in the last decade. The rapid growth of the Internet of Things (IoT) systems worldwide has increase…