30 citations · 119 across the 23 of their papers we have counts for
27 papers
Paying for Publication with Peer Review Design and Simulation of a Fee-Free, Credit-Based Open Access Journal for Information Technology
Murat Ozer
Open access publishing has moved much of the cost of scholarly communication from readers to authors, while the labor of peer review remains unpaid and unevenly shared. This paper…
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…
Identifying Information Technology Research Trends through Text Mining of NSF Awards
Said Varlioglu, Hazem Said, Murat Ozer +1
Information Technology (IT) is recognized as an independent and unique research field. However, there has been ambiguity and difficulty in identifying and differentiating IT resear…
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…
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 Comprehensive Analytical Review on Cybercrime in West Africa
Victor Adewopo, Sylvia Worlali Azumah, Mustapha Awinsongya Yakubu +3
Cybercrime is a growing concern in West Africa due to the increasing use of technology and internet penetration in the region. Legal frameworks are essential for guiding the contro…
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…
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…
Zydeco-Style Spike Sorting Low Power VLSI Architecture for IoT BCI Implants
Zag ElSayed, Murat Ozer, Nelly Elsayed +1
Brain Computer Interface (BCI) has great potential for solving many brain signal analysis limitations, mental disorder resolutions, and restoring missing limb functionality via neu…
A Transfer Learning Based Approach for Classification of COVID-19 and Pneumonia in CT Scan Imaging
Gargi Desai, Nelly Elsayed, Zag Elsayed +1
The world is still overwhelmed by the spread of the COVID-19 virus. With over 250 Million infected cases as of November 2021 and affecting 219 countries and territories, the world…
Review on Action Recognition for Accident Detection in Smart City Transportation Systems
Victor Adewopo, Nelly Elsayed, Zag ElSayed +3
Action detection and public traffic safety are crucial aspects of a safe community and a better society. Monitoring traffic flows in a smart city using different surveillance camer…
Speech Emotion Recognition using Supervised Deep Recurrent System for Mental Health Monitoring
Nelly Elsayed, Zag ElSayed, Navid Asadizanjani +3
Understanding human behavior and monitoring mental health are essential to maintaining the community and society's safety. As there has been an increase in mental health problems d…
The Dangerous Combo: Fileless Malware and Cryptojacking
Said Varlioglu, Nelly Elsayed, Zag ElSayed +1
Fileless malware and cryptojacking attacks have appeared independently as the new alarming threats in 2017. After 2020, fileless attacks have been devastating for victim organizati…
Early Stage Diabetes Prediction via Extreme Learning Machine
Nelly Elsayed, Zag ElSayed, Murat Ozer
Diabetes is one of the chronic diseases that has been discovered for decades. However, several cases are diagnosed in their late stages. Every one in eleven of the world's adult po…
Deep Learning Algorithm for Threat Detection in Hackers Forum (Deep Web)
Victor Adewopo, Bilal Gonen, Nelly Elsayed +2
In our current society, the inter-connectivity of devices provides easy access for netizens to utilize cyberspace technology for illegal activities. The deep web platform is a cons…
Data Breaches in Healthcare Security Systems
Jahnavi Reddy, Nelly Elsayed, Zag ElSayed +1
Providing security to Health Information is considered to be the topmost priority when compared to any other field. After the digitalization of the patient's records in the medical…
Is Cryptojacking Dead after Coinhive Shutdown?
Said Varlioglu, Bilal Gonen, Murat Ozer +1
Cryptojacking is the exploitation of victims' computer resources to mine for cryptocurrency using malicious scripts. It has become popular after 2017 when attackers started to expl…