Cyber-physical security for IoT networks: a comprehensive review on traditional, blockchain and artificial intelligence based key-security
The recent years have garnered huge attention towards the Internet of Things (IoT) because
it enables its consumers to improve their lifestyles and professionally keep up with the …
it enables its consumers to improve their lifestyles and professionally keep up with the …
Adversarial machine learning in wireless communications using RF data: A review
D Adesina, CC Hsieh, YE Sagduyu… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Machine learning (ML) provides effective means to learn from spectrum data and solve
complex tasks involved in wireless communications. Supported by recent advances in …
complex tasks involved in wireless communications. Supported by recent advances in …
Channel-aware adversarial attacks against deep learning-based wireless signal classifiers
This paper presents channel-aware adversarial attacks against deep learning-based
wireless signal classifiers. There is a transmitter that transmits signals with different …
wireless signal classifiers. There is a transmitter that transmits signals with different …
[HTML][HTML] Adversarial machine learning in IoT from an insider point of view
With the rapid progress and significant successes in various applications, machine learning
has been considered a crucial component in the Internet of Things ecosystem. However …
has been considered a crucial component in the Internet of Things ecosystem. However …
Adversarial machine learning for 5G communications security
Machine learning provides automated means to capture complex dynamics of wireless
spectrum and support better understanding of spectrum resources and their efficient …
spectrum and support better understanding of spectrum resources and their efficient …
Toward improved machine learning-based intrusion detection for Internet of Things traffic
S Alkadi, S Al-Ahmadi, MM Ben Ismail - Computers, 2023 - mdpi.com
The rapid development of Internet of Things (IoT) networks has revealed multiple security
issues. On the other hand, machine learning (ML) has proven its efficiency in building …
issues. On the other hand, machine learning (ML) has proven its efficiency in building …
A holistic review of machine learning adversarial attacks in IoT networks
With the rapid advancements and notable achievements across various application
domains, Machine Learning (ML) has become a vital element within the Internet of Things …
domains, Machine Learning (ML) has become a vital element within the Internet of Things …
Unraveling Attacks to Machine Learning-Based IoT Systems: A Survey and the Open Libraries Behind Them
The advent of the Internet of Things (IoT) has brought forth an era of unprecedented
connectivity, with an estimated 80 billion smart devices expected to be in operation by the …
connectivity, with an estimated 80 billion smart devices expected to be in operation by the …
Adversarial machine learning for flooding attacks on 5G radio access network slicing
Y Shi, YE Sagduyu - 2021 IEEE International Conference on …, 2021 - ieeexplore.ieee.org
Network slicing manages network resources as virtual resource blocks (RBs) for the 5G
Radio Access Network (RAN). Each communication request comes with quality of …
Radio Access Network (RAN). Each communication request comes with quality of …
When attackers meet AI: Learning-empowered attacks in cooperative spectrum sensing
Defense strategies have been well studied to combat Byzantine attacks that aim to disrupt
cooperative spectrum sensing by sending falsified versions of spectrum sensing data to a …
cooperative spectrum sensing by sending falsified versions of spectrum sensing data to a …