Anomaly-based intrusion detection systems in iot using deep learning: A systematic literature review
The Internet of Things (IoT) concept has emerged to improve people's lives by providing a
wide range of smart and connected devices and applications in several domains, such as …
wide range of smart and connected devices and applications in several domains, such as …
Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML
Abstract Internet of Medical Things (IoMT) supports traditional healthcare systems by
providing enhanced scalability, efficiency, reliability, and accuracy of healthcare services. It …
providing enhanced scalability, efficiency, reliability, and accuracy of healthcare services. It …
Explainable artificial intelligence in cybersecurity: A survey
Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily
life. Despite the AI benefits, its application suffers from the opacity of complex internal …
life. Despite the AI benefits, its application suffers from the opacity of complex internal …
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 …
A systematic review on Deep Learning approaches for IoT security
The constant spread of smart devices in many aspects of our daily life goes hand in hand
with the ever-increasing demand for appropriate mechanisms to ensure they are resistant …
with the ever-increasing demand for appropriate mechanisms to ensure they are resistant …
A review of anomaly detection strategies to detect threats to cyber-physical systems
N Jeffrey, Q Tan, JR Villar - Electronics, 2023 - mdpi.com
Cyber-Physical Systems (CPS) are integrated systems that combine software and physical
components. CPS has experienced rapid growth over the past decade in fields as disparate …
components. CPS has experienced rapid growth over the past decade in fields as disparate …
A supervised machine learning-based solution for efficient network intrusion detection using ensemble learning based on hyperparameter optimization
An efficient machine learning (ML) ensemble technique for categorizing Intrusion Detection
(ID) is proposed in this study. The tuning of the ML model's parameters is a critical topic …
(ID) is proposed in this study. The tuning of the ML model's parameters is a critical topic …
Survey on botnet detection techniques: Classification, methods, and evaluation
Y Xing, H Shu, H Zhao, D Li… - Mathematical Problems in …, 2021 - Wiley Online Library
With the continuous evolution of the Internet, as well as the development of the Internet of
Things, smart terminals, cloud platforms, and social platforms, botnets showing the …
Things, smart terminals, cloud platforms, and social platforms, botnets showing the …
Internet of Things botnet detection approaches: Analysis and recommendations for future research
M Wazzan, D Algazzawi, O Bamasaq, A Albeshri… - Applied Sciences, 2021 - mdpi.com
Internet of Things (IoT) is promising technology that brings tremendous benefits if used
optimally. At the same time, it has resulted in an increase in cybersecurity risks due to the …
optimally. At the same time, it has resulted in an increase in cybersecurity risks due to the …
MalBoT-DRL: Malware botnet detection using deep reinforcement learning in IoT networks
M Al-Fawa'reh, J Abu-Khalaf… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In the dynamic landscape of cyber threats, multistage malware botnets have surfaced as
significant threats of concern. These sophisticated threats can exploit Internet of Things (IoT) …
significant threats of concern. These sophisticated threats can exploit Internet of Things (IoT) …