4 citations · 8 across the 8 of their papers we have counts for
8 papers
Deep Dive into the Abuse of DL APIs To Create Malicious AI Models and How to Detect Them
Mohamed Nabeel, Oleksii Starov
According to Gartner, more than 70% of organizations will have integrated AI models into their workflows by the end of 2025. In order to reduce cost and foster innovation, it is of…
Malicious GenAI Chrome Extensions: Unpacking Data Exfiltration and Malicious Behaviours
Shresta B. Seetharam, Mohamed Nabeel, William Melicher
The rapid proliferation of AI and GenAI tools has extended to the Chrome Web Store. Cybercriminals are exploiting this trend, deploying malicious Chrome extensions posing as AI too…
MANTIS: Detection of Zero-Day Malicious Domains Leveraging Low Reputed Hosting Infrastructure
Fatih Deniz, Mohamed Nabeel, Ting Yu +1
Internet miscreants increasingly utilize short-lived disposable domains to launch various attacks. Existing detection mechanisms are either too late to catch such malicious domains…
GREENER: Graph Neural Networks for News Media Profiling
Panayot Panayotov, Utsav Shukla, Husrev Taha Sencar +2
We study the problem of profiling news media on the Web with respect to their factuality of reporting and bias. This is an important but under-studied problem related to disinforma…
Exploration of Enterprise Server Data to Assess Ease of Modeling System Behavior
Enes Altinisik, Husrev Taha Sencar, Mohamed Nabeel +2
Enterprise networks are one of the major targets for cyber attacks due to the vast amount of sensitive and valuable data they contain. A common approach to detecting attacks in the…
A Large Scale Study and Classification of VirusTotal Reports on Phishing and Malware URLs
Euijin Choo, Mohamed Nabeel, Ravindu De Silva +2
VirusTotal (VT) provides aggregated threat intelligence on various entities including URLs, IP addresses, and binaries. It is widely used by researchers and practitioners to collec…
DeviceWatch: Identifying Compromised Mobile Devices through Network Traffic Analysis and Graph Inference
Euijin Choo, Mohamed Nabeel, Mashael Alsabah +3
In this paper, we propose to identify compromised mobile devices from a network administrator's point of view. Intuitively, inadvertent users (and thus their devices) who download…
Killing Two Birds with One Stone: Malicious Domain Detection with High Accuracy and Coverage
Issa Khalil, Bei Guan, Mohamed Nabeel +1
Inference based techniques are one of the major approaches to analyze DNS data and detecting malicious domains. The key idea of inference techniques is to first define associations…