The Method and Software Tool for Identification of the Machine Code Architecture in Cyberphysical Devices
This work solves the problem of identification of the machine code architecture in
cyberphysical devices. A basic systematization of the Executable and Linkable Format and …
cyberphysical devices. A basic systematization of the Executable and Linkable Format and …
An Autoencoder-based Multi-task Learning for Intrusion Detection in IoT Networks
The size of Internet of Things (IoT) networks, the physical devices connected to them, and
the volume of data processed have grown exponentially over the past decade. Meanwhile …
the volume of data processed have grown exponentially over the past decade. Meanwhile …
Intensive Malware Detection Approach based on Data Mining
IE Salem, KH Al-Saedi - Journal of Applied Engineering and …, 2023 - journal.yrpipku.com
Malicious software, sometimes known as malware, is software designed to harm a computer,
network, or any of the connected resources. Without the user's knowledge, malware can …
network, or any of the connected resources. Without the user's knowledge, malware can …
Train Without Label: A Self-supervised One-Class Classification Approach for IoT Anomaly Detection
The intrusion detection techniques remain essential for network security, especially for the
Internet of Things (IoT) environment, where there are crucial network systems and …
Internet of Things (IoT) environment, where there are crucial network systems and …
Malware Analysis With Machine Learning: Methods, Challenges, and Future Directions
R Singh, P Kumar - Malware Analysis and Intrusion Detection in …, 2023 - igi-global.com
Malware attacks are growing years after years because of increasing android, IOT along
with traditional computing devices. To protect all these devices malware analysis is …
with traditional computing devices. To protect all these devices malware analysis is …