Survey of intrusion detection systems: techniques, datasets and challenges

A Khraisat, I Gondal, P Vamplew, J Kamruzzaman - Cybersecurity, 2019 - Springer
Cyber-attacks are becoming more sophisticated and thereby presenting increasing
challenges in accurately detecting intrusions. Failure to prevent the intrusions could degrade …

Machine learning based solutions for security of Internet of Things (IoT): A survey

SM Tahsien, H Karimipour, P Spachos - Journal of Network and Computer …, 2020 - Elsevier
Over the last decade, IoT platforms have been developed into a global giant that grabs every
aspect of our daily lives by advancing human life with its unaccountable smart services …

Machine learning in IoT security: Current solutions and future challenges

F Hussain, R Hussain, SA Hassan… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The future Internet of Things (IoT) will have a deep economical, commercial and social
impact on our lives. The participating nodes in IoT networks are usually resource …

[HTML][HTML] An explainable deep learning-enabled intrusion detection framework in IoT networks

M Keshk, N Koroniotis, N Pham, N Moustafa… - Information …, 2023 - Elsevier
Although the field of eXplainable Artificial Intelligence (XAI) has a significant interest these
days, its implementation within cyber security applications still needs further investigation to …

IoT security techniques based on machine learning: How do IoT devices use AI to enhance security?

L Xiao, X Wan, X Lu, Y Zhang… - IEEE Signal Processing …, 2018 - ieeexplore.ieee.org
The Internet of things (IoT), which integrates a variety of devices into networks to provide
advanced and intelligent services, has to protect user privacy and address attacks such as …

Autoencoder-based network anomaly detection

Z Chen, CK Yeo, BS Lee, CT Lau - 2018 Wireless …, 2018 - ieeexplore.ieee.org
Anomaly detection is critical given the raft of cyber attacks in the wireless communications
these days. It is thus a challenging task to determine network anomaly more accurately. In …

A survey of network anomaly detection techniques

M Ahmed, AN Mahmood, J Hu - Journal of Network and Computer …, 2016 - Elsevier
Abstract Information and Communication Technology (ICT) has a great impact on social
wellbeing, economic growth and national security in todays world. Generally, ICT includes …

Role of machine learning and deep learning in securing 5G-driven industrial IoT applications

P Sharma, S Jain, S Gupta, V Chamola - Ad Hoc Networks, 2021 - Elsevier
Abstract The Internet of Things (IoT) connects millions of computing devices and has set a
stage for future technology where industrial use cases like smart cities and smart houses will …

A holistic review of network anomaly detection systems: A comprehensive survey

N Moustafa, J Hu, J Slay - Journal of Network and Computer Applications, 2019 - Elsevier
Abstract Network Anomaly Detection Systems (NADSs) are gaining a more important role in
most network defense systems for detecting and preventing potential threats. The paper …

A hybrid deep learning-based model for anomaly detection in cloud datacenter networks

S Garg, K Kaur, N Kumar, G Kaddoum… - … on Network and …, 2019 - ieeexplore.ieee.org
With the emergence of the Internet-of-Things (IoT) and seamless Internet connectivity, the
need to process streaming data on real-time basis has become essential. However, the …