8 citations · 14 across the 7 of their papers we have counts for
9 papers
ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation
Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani +4
The rapid growth of the Internet of Things (IoT) devices is paralleled by them being on the front-line of malicious attacks. This has led to an explosion in the number of IoT malwa…
ShellCore: Automating Malicious IoT Software Detection by Using Shell Commands Representation
Hisham Alasmary, Afsah Anwar, Ahmed Abusnaina +6
The Linux shell is a command-line interpreter that provides users with a command interface to the operating system, allowing them to perform a variety of functions. Although very u…
Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube
Sultan Alshamrani, Ahmed Abusnaina, Mohammed Abuhamad +2
Social media has become an essential part of the daily routines of children and adolescents. Moreover, enormous efforts have been made to ensure the psychological and emotional wel…
Hiding in Plain Sight: A Measurement and Analysis of Kids' Exposure to Malicious URLs on YouTube
Sultan Alshamrani, Ahmed Abusnaina, David Mohaisen
The Internet has become an essential part of children's and adolescents' daily life. Social media platforms are used as educational and entertainment resources on daily bases by yo…
Cleaning the NVD: Comprehensive Quality Assessment, Improvements, and Analyses
Afsah Anwar, Ahmed Abusnaina, Songqing Chen +2
Vulnerability databases are vital sources of information on emergent software security concerns. Security professionals, from system administrators to developers to researchers, he…
A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification
Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary +5
The wide acceptance of Internet of Things (IoT) for both household and industrial applications is accompanied by several security concerns. A major security concern is their probab…