research
∙
08/30/2021
ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation
The rapid growth of the Internet of Things (IoT) devices is paralleled b...
share
research
∙
03/26/2021
ShellCore: Automating Malicious IoT Software Detection by Using Shell Commands Representation
The Linux shell is a command-line interpreter that provides users with a...
research
∙
03/26/2021
Understanding Internet of Things Malware by Analyzing Endpoints in their Static Artifacts
The lack of security measures among the Internet of Things (IoT) devices...
research
∙
06/27/2020
Domain Name System Security and Privacy: A Contemporary Survey
The domain name system (DNS) is one of the most important components of ...
research
∙
06/26/2020
Cleaning the NVD: Comprehensive Quality Assessment, Improvements, and Analyses
Vulnerability databases are vital sources of information on emergent sof...
research
∙
05/14/2020
A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification
The wide acceptance of Internet of Things (IoT) for both household and i...
research
∙
05/14/2020
Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification
The wide acceptance of Internet of Things (IoT) for both household and i...
research
∙
02/12/2019
Examining Adversarial Learning against Graph-based IoT Malware Detection Systems
The main goal of this study is to investigate the robustness of graph-ba...
research
∙
02/11/2019
Analyzing, Comparing, and Detecting Emerging Malware: A Graph-based Approach
The growth in the number of Android and Internet of Things (IoT) devices...
research
∙
02/10/2019