A comprehensive survey on hardware-assisted malware analysis and primitive techniques
EP Kumar, S Priyanka - Computer Networks, 2023 - Elsevier
Malware poses an extremely dangerous threat to the digital world, significantly impacting
various domains such as smart cities, intelligent transportation, wireless sensor networks …
various domains such as smart cities, intelligent transportation, wireless sensor networks …
XRecon: An explainbale IoT reconnaissance attack detection system based on ensemble learning
IoT devices have grown in popularity in recent years. Statistics show that the number of
online IoT devices exceeded 35 billion in 2022. This rapid growth in adoption made these …
online IoT devices exceeded 35 billion in 2022. This rapid growth in adoption made these …
Review of botnet attack detection in SDN-enabled IoT Using machine learning
The orchestration of software-defined networks (SDN) and the internet of things (IoT) has
revolutionized the computing fields. These include the broad spectrum of connectivity to …
revolutionized the computing fields. These include the broad spectrum of connectivity to …
Detecting crypto-ransomware in IoT networks based on energy consumption footprint
Abstract An Internet of Things (IoT) architecture generally consists of a wide range of Internet-
connected devices or things such as Android devices, and devices that have more …
connected devices or things such as Android devices, and devices that have more …
Comprehensive Analysis of IoT Malware Evasion Techniques
A Al-Marghilani - Engineering, Technology & Applied Science Research, 2021 - etasr.com
Malware detection in Internet of Things (IoT) devices is a great challenge, as these devices
lack certain characteristics such as homogeneity and security. Malware is malicious software …
lack certain characteristics such as homogeneity and security. Malware is malicious software …
Detection of botnet attacks against industrial IoT systems by multilayer deep learning approaches
Industry 4.0 is the next revolution in manufacturing technology that is going to change the
production and distribution of goods and services within the following decade. Powered by …
production and distribution of goods and services within the following decade. Powered by …
ELBA-IoT: An ensemble learning model for botnet attack detection in IoT networks
Q Abu Al-Haija, M Al-Dala'ien - Journal of Sensor and Actuator Networks, 2022 - mdpi.com
Due to the prompt expansion and development of intelligent systems and autonomous,
energy-aware sensing devices, the Internet of Things (IoT) has remarkably grown and …
energy-aware sensing devices, the Internet of Things (IoT) has remarkably grown and …
Machine learning for the detection and identification of Internet of Things devices: A survey
The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a
variety of emerging services and applications. However, the presence of rogue IoT devices …
variety of emerging services and applications. However, the presence of rogue IoT devices …
A near real-time scheme for collecting and analyzing iot malware artifacts at scale
The chronic proliferation of Internet of Things (IoT) botnet malware activities coupled with an
unprecedented rise in security vulnerabilities convene a new world of opportunities for …
unprecedented rise in security vulnerabilities convene a new world of opportunities for …
Malware squid: A novel iot malware traffic analysis framework using convolutional neural network and binary visualisation
Internet of Things devices have seen a rapid growth and popularity in recent years with
many more ordinary devices gaining network capability and becoming part of the ever …
many more ordinary devices gaining network capability and becoming part of the ever …