activity
20192021
most citedExamining Adversarial Learning against Graph-based IoT Malware Detection Systems

4 citations · 9 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CR2021

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…

cs.CR2021★ 1 cited

Understanding Internet of Things Malware by Analyzing Endpoints in their Static Artifacts

Afsah Anwar, Jinchun Choi, Abdulrahman Alabduljabbar +7

The lack of security measures among the Internet of Things (IoT) devices and their persistent online connection gives adversaries a prime opportunity to target them or even abuse t…

cs.NI2020

Domain Name System Security and Privacy: A Contemporary Survey

Aminollah Khormali, Jeman Park, Hisham Alasmary +2

The domain name system (DNS) is one of the most important components of today's Internet, and is the standard naming convention between human-readable domain names and machine-rout…

cs.CR2020★ 2 cited

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…

cs.CR2019★ 4 cited

Examining Adversarial Learning against Graph-based IoT Malware Detection Systems

Ahmed Abusnaina, Aminollah Khormali, Hisham Alasmary +4

The main goal of this study is to investigate the robustness of graph-based Deep Learning (DL) models used for Internet of Things (IoT) malware classification against Adversarial L…

cs.CR2019★ 2 cited

Analyzing, Comparing, and Detecting Emerging Malware: A Graph-based Approach

Hisham Alasmary, Aminollah Khormali, Afsah Anwar +4

The growth in the number of Android and Internet of Things (IoT) devices has witnessed a parallel increase in the number of malicious software (malware), calling for new analysis a…