Learning-based methods for cyber attacks detection in IoT systems: A survey on methods, analysis, and future prospects
Internet of Things (IoT) is a developing technology that provides the simplicity and benefits of
exchanging data with other devices using the cloud or wireless networks. However, the …
exchanging data with other devices using the cloud or wireless networks. However, the …
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 …
[HTML][HTML] Federated learning for malware detection in IoT devices
Billions of IoT devices lacking proper security mechanisms have been manufactured and
deployed for the last years, and more will come with the development of Beyond 5G …
deployed for the last years, and more will come with the development of Beyond 5G …
Network flow based IoT botnet attack detection using deep learning
S Sriram, R Vinayakumar, M Alazab… - IEEE INFOCOM 2020 …, 2020 - ieeexplore.ieee.org
Governments around the globe are promoting smart city applications to enhance the quality
of daily-life activities in urban areas. Smart cities include internet-enabled devices that are …
of daily-life activities in urban areas. Smart cities include internet-enabled devices that are …
Machine learning in network anomaly detection: A survey
S Wang, JF Balarezo, S Kandeepan… - IEEE …, 2021 - ieeexplore.ieee.org
Anomalies could be the threats to the network that have ever/never happened. To protect
networks against malicious access is always challenging even though it has been studied …
networks against malicious access is always challenging even though it has been studied …
Deep reinforcement adversarial learning against botnet evasion attacks
As cybersecurity detectors increasingly rely on machine learning mechanisms, attacks to
these defenses escalate as well. Supervised classifiers are prone to adversarial evasion …
these defenses escalate as well. Supervised classifiers are prone to adversarial evasion …
Systematic literature review on IoT-based botnet attack
The adoption of the Internet of Things (IoT) technology is expanding exponentially because
of its capability to provide a better service. This technology has been successfully …
of its capability to provide a better service. This technology has been successfully …
IoT reliability: a review leading to 5 key research directions
Abstract The Internet of Things (IoT) is rapidly changing the way in which we engage with
technology on a daily basis. The IoT paradigm enables low-resource devices to …
technology on a daily basis. The IoT paradigm enables low-resource devices to …
IoT botnet: The largest threat to the IoT network
S Dange, M Chatterjee - … and Networks: Proceedings of GUCON 2019, 2019 - Springer
Adoption of the IoT technology is expanding exponentially. It is capable of providing a better
service. IoT technology is successfully implemented on the bulb, refrigerator, air conditioner …
service. IoT technology is successfully implemented on the bulb, refrigerator, air conditioner …
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 …