Mohamed Nabeel

Mohamed Nabeel

Purdue University

H-index: 18

North America-United States

About Mohamed Nabeel

Mohamed Nabeel, With an exceptional h-index of 18 and a recent h-index of 15 (since 2020), a distinguished researcher at Purdue University, specializes in the field of Data driven network/web security, adversarial machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Phishing domain detection systems and methods

Systems and methods for encrypted message filtering

A large scale study and classification of virustotal reports on phishing and malware urls

Vaccination trials on hold: malicious and low credibility content on Twitter during the AstraZeneca COVID-19 vaccine development

Generating high-quality threat intelligence from aggregated threat reports

PDNS-Net: A large heterogeneous graph benchmark dataset of network resolutions for graph learning

Brand squatting domain detection systems and methods

Exploration of Enterprise Server Data to Assess Ease of Modeling System Behavior

Mohamed Nabeel Information

University

Position

Senior Research Scientist at Qatar Computing Research Institute/

Citations(all)

1504

Citations(since 2020)

569

Cited By

1129

hIndex(all)

18

hIndex(since 2020)

15

i10Index(all)

24

i10Index(since 2020)

18

Email

University Profile Page

Purdue University

Google Scholar

View Google Scholar Profile

Mohamed Nabeel Skills & Research Interests

Data driven network/web security

adversarial machine learning

Top articles of Mohamed Nabeel

Title

Journal

Author(s)

Publication Date

Phishing domain detection systems and methods

2023/1/3

Systems and methods for encrypted message filtering

2023/10/10

A large scale study and classification of virustotal reports on phishing and malware urls

Proceedings of the ACM on Measurement and Analysis of Computing Systems

Euijin Choo

Mohamed Nabeel

Doowon Kim

Ravindu De Silva

Ting Yu

...

2023/12/12

Vaccination trials on hold: malicious and low credibility content on Twitter during the AstraZeneca COVID-19 vaccine development

Computational and Mathematical Organization Theory

Sameera Horawalavithana

Ravindu De Silva

Nipuna Weerasekara

NG Kin Wai

Mohamed Nabeel

...

2023/9

Generating high-quality threat intelligence from aggregated threat reports

2023/6/29

PDNS-Net: A large heterogeneous graph benchmark dataset of network resolutions for graph learning

arXiv preprint arXiv:2203.07969

Udesh Kumarasinghe

Fatih Deniz

Mohamed Nabeel

2022/3/15

Brand squatting domain detection systems and methods

2022/6/23

Exploration of Enterprise Server Data to Assess Ease of Modeling System Behavior

arXiv preprint arXiv:2206.05679

Enes Altinisik

Husrev Taha Sencar

Mohamed Nabeel

Issa Khalil

Ting Yu

2022/6/12

CGraph: Graph Based Extensible Predictive Domain Threat Intelligence Platform

arXiv preprint arXiv:2202.07883

Wathsara Daluwatta

Ravindu De Silva

Sanduni Kariyawasam

Mohamed Nabeel

Charith Elvitigala

...

2022/2/16

HeteroGuard: Defending Heterogeneous Graph Neural Networks against Adversarial Attacks

Udesh Kumarasinghe

Mohamed Nabeel

Kasun De Zoysa

Kasun Gunawardana

Charitha Elvitigala

2022/11/28

SIRAJ: A Unified Framework for Aggregation of Malicious Entity Detectors

Saravanan Thirumuruganatha

Mohamed Nabeel

Euijin Choo

Issa Khalil

Ting Yu

2022/5

GREENER: Graph neural networks for news media profiling

arXiv preprint arXiv:2211.05533

Panayot Panayotov

Utsav Shukla

Husrev Taha Sencar

Mohamed Nabeel

Preslav Nakov

2022/11/10

PhishChain: A Decentralized and Transparent System to Blacklist Phishing URLs

Shehan Vidyakeerthi

Mohamed Nabeel

Charith Elvitigala

Chamath Keppitiyagama

2022/4/25

DeviceWatch: a data-driven network analysis approach to identifying compromised mobile devices with graph-inference

ACM Transactions on Privacy and Security

Euijin Choo

Mohamed Nabeel

Mashael Alsabah

Issa Khalil

Ting Yu

...

2022/11/7

Compromised mobile device detection system and method

2022/4/14

Content-agnostic detection of phishing domains using certificate transparency and passive dns

Mashael AlSabah

Mohamed Nabeel

Yazan Boshmaf

Euijin Choo

2022/10/26

Identifying and characterizing COVID-19 themed malicious domain campaigns

Pengcheng Xia

Mohamed Nabeel

Issa Khalil

Haoyu Wang

Ting Yu

2021/4/26

Malicious and Low Credibility URLs on Twitter during COVID-19

Sameera Horawalavithana

RD Silva

Mohamed Nabeel

Charitha Elvitigala

P Wijesekara

...

2021/2/24

Compromised or {Attacker-Owned}: A large scale classification and study of hosting domains of malicious {URLs}

Ravindu De Silva

Mohamed Nabeel

Charith Elvitigala

Issa Khalil

Ting Yu

...

2021

Method and system for domain maliciousness assessment via real-time graph inference

2021/12/21

See List of Professors in Mohamed Nabeel University(Purdue University)

Co-Authors

H-index: 111
Elisa Bertino

Elisa Bertino

Purdue University

H-index: 51
Alejandro Buchmann

Alejandro Buchmann

Technische Universität Darmstadt

H-index: 21
Seung-Hyun Seo

Seung-Hyun Seo

Hanyang University

H-index: 7
Xiaoyu Ding

Xiaoyu Ding

Carnegie Mellon University

H-index: 7
Muhammad I Sarfraz

Muhammad I Sarfraz

Purdue University

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