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Mohamed Nabeel
Observed name:
Nabeel, Mohamed
Institutions:
Southern New Hampshire University,
Palo Alto Networks (United States),
National University,
Vellore Institute of Technology University
Observed institutions:
Purdue University West Lafayette,
Southern New Hampshire University,
Palo Alto Networks (United States),
National University,
Hamad bin Khalifa University,
Sofia University "St. Kliment Ohridski",
Vellore Institute of Technology University
show all 7
ORCID:
0000-0003-3502-9914
Observed ORCIDs:
0000-0003-3502-9914,
0009-0003-7238-965X
OpenAlex ID:
A5033996366
An Efficient Certificateless Encryption for Secure Data Sharing in Public Clouds
2013
·
Seung-Hyun Seo
, Mohamed Nabeel
, et al.
·
IEEE Transactions on Knowledge and Data Engineering
·
122
A Large Scale Study and Classification of VirusTotal Reports on Phishing and Malware URLs
2023
·
Euijin Choo
, Mohamed Nabeel
, et al.
·
Proceedings of the ACM on Measurement and Analysis of Computing Systems
·
36
PDF
Following Passive DNS Traces to Detect Stealthy Malicious Domains Via Graph Inference
2020
·
Mohamed Nabeel
, Issa M. Khalil
, et al.
·
ACM Transactions on Privacy and Security
·
30
A Domain is only as Good as its Buddies: Detecting Stealthy Malicious Domains via Graph Inference
2018
·
Issa M. Khalil
, Bei Guan
, et al.
·
ACM Conference on Data and Application Security and Privacy (CODASPY)
·
28
Content-Agnostic Detection of Phishing Domains using Certificate Transparency and Passive DNS
2022
·
Mashael AlSabah
, Mohamed Nabeel
, et al.
·
International Symposium on Research in Attacks, Intrusions and Defenses (RAID)
·
26
Distributed Cardinality Estimation of Set Operations with Differential Privacy
2017
·
Rade Stanojevic
, Mohamed Nabeel
, et al.
·
IEEE Symposium on Privacy-Aware Computing (PAC)
·
24
GREENER: Graph Neural Networks for News Media Profiling
2022
·
Panayot Panayotov
, Utsav Shukla
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
16
PDF
Identifying and Characterizing COVID-19 Themed Malicious Domain Campaigns
2021
·
Pengcheng Xia
, Mohamed Nabeel
, et al.
·
ACM Conference on Data and Application Security and Privacy (CODASPY)
·
12
Vaccination trials on hold: malicious and low credibility content on Twitter during the AstraZeneca COVID-19 vaccine development
2022
·
Sameera Horawalavithana
, Ravindu De Silva
, et al.
·
Computational and Mathematical Organization Theory
·
11
PDF
PDNS-Net: A Large Heterogeneous Graph Benchmark Dataset of Network Resolutions for Graph Learning
2022
·
Kumarasinghe, Udesh
, Deniz, Fatih
, et al.
·
arXiv (Cornell University)
·
11
PDF
A Large Scale Study and Classification of VirusTotal Reports on Phishing and Malware URLs
2024
·
Euijin Choo
, Mohamed Nabeel
, et al.
·
ACM SIGMETRICS Performance Evaluation Review
·
10
PDF
SIRAJ: A Unified Framework for Aggregation of Malicious Entity Detectors
2022
·
Saravanan Thirumuruganathan
, Mohamed Nabeel
, et al.
·
IEEE Symposium on Security and Privacy (S&P)
·
10
CADUE: Content-Agnostic Detection of Unwanted Emails for Enterprise Security
2021
·
Mohamed Nabeel
, Enes Altinisik
, et al.
·
International Symposium on Research in Attacks, Intrusions and Defenses (RAID)
·
9
Malicious and Low Credibility URLs on Twitter During the AstraZeneca COVID-19 Vaccine Development
2021
·
Sameera Horawalavithana
, Ravindu De Silva
, et al.
·
Lecture notes in computer science
·
9
PDF
HeteroGuard: Defending Heterogeneous Graph Neural Networks against Adversarial Attacks
2022
·
Udesh Kumarasinghe
, Mohamed Nabeel
, et al.
·
IEEE ... International Conference on Data Mining workshops
·
7
MANTIS: Detection of Zero-Day Malicious Domains Leveraging Low Reputed Hosting Infrastructure
2025
·
Fatih Deniz
, Mohamed Nabeel
, et al.
·
IEEE Symposium on Security and Privacy (S&P)
·
6
PDF
Demo: PhishChain: A Decentralized and Transparent System to Blacklist Phishing URLs
2022
·
Shehan Vidyakeerthi
, Mohamed Nabeel
, et al.
·
International World Wide Web Conference (WWW)
·
6
DeviceWatch: A Data-Driven Network Analysis Approach to Identifying Compromised Mobile Devices with Graph-Inference
2022
·
Euijin Choo
, Mohamed Nabeel
, et al.
·
ACM Transactions on Privacy and Security
·
5
PDF
Killing Two Birds with One Stone: Malicious Domain Detection with High Accuracy and Coverage
2017
·
Khalil, Issa
, Guan, Bei
, et al.
·
arXiv (Cornell University)
·
4
PDF
Blocklist-Forecast: Proactive Domain Blocklisting by Identifying Malicious Hosting Infrastructure
2024
·
Udesh Kumarasinghe
, Mohamed Nabeel
, et al.
·
International Symposium on Research in Attacks, Intrusions and Defenses (RAID)
·
3
CyberFluxAI: A GenAI-Powered System for Rapid and Explainable Cybersecurity Incident Response
2026
·
Syed Omar ALBEEZ
, P. S. Aswin Raaj
, et al.
·
IEEE Access
·
2
A Large Scale Study and Classification of VirusTotal Reports on Phishing and Malware URLs
2024
·
Euijin Choo
, Mohamed Nabeel
, et al.
·
ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS)
·
2
PhishChain: A Decentralized and Transparent System to Blacklist Phishing URLs
2022
·
Edirimannage, Shehan
, Nabeel, Mohamed
, et al.
·
arXiv (Cornell University)
·
2
PDF
A Longitudinal Study of Recently Observed Malicious Domains: Characteristics, Infrastructure, and Abuse Patterns
2026
·
Mashood, Fathima
, Nabeel, Mohamed
·
arXiv (Cornell University)
·
1
PDF
Deep Dive into the Abuse of DL APIs To Create Malicious AI Models and How to Detect Them
2026
·
Nabeel, Mohamed
, Starov, Oleksii
·
arXiv (Cornell University)
·
1
PDF
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Works count:
32
Citation count:
395
H-index:
10
I10-index:
12
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