Intelligent Mirai Malware Detection for IoT Nodes

An Efficient DenseNet-Based Deep Learning Model for Malware Detection

(2021) Jeyaprakash Hemalatha et al.   Entropy

Hybrid Malware Classification Method Using Segmentation-Based Fractal Texture Analysis and Deep Convolution Neural Network Features

(2020) Maryam Nisa et al.   Applied Sciences-Basel

Adversarial Samples on Android Malware Detection Systems for IoT Systems

(2019) Xiaolei Liu et al.   SENSORS

Towards Deep-Learning-Driven Intrusion Detection for the Internet of Things

(2019) Geethapriya Thamilarasu et al.   SENSORS

Detecting Malware on X86-Based IoT Devices in Autonomous Driving

(2019) Weina Niu et al.   IEEE WIRELESS COMMUNICATIONS

A novel statistical technique for intrusion detection systems

(2018) Enamul Kabir et al.   Future Generation Computer Systems-The International Journal of eScience

Malware Threats and Detection for Industrial Mobile-IoT Networks

(2018) Shaila Sharmeen et al.   IEEE Access

When Intrusion Detection Meets Blockchain Technology: A Review

(2018) Weizhi Meng et al.   IEEE Access

Use of Data Visualisation for Zero-Day Malware Detection

(2018) Sitalakshmi Venkatraman et al.   Security and Communication Networks

SVELTE: Real-time intrusion detection in the Internet of Things

(2013) Shahid Raza et al.   Ad Hoc Networks