[HTML][HTML] CPS-GUARD: Intrusion detection for cyber-physical systems and IoT devices using outlier-aware deep autoencoders

M Catillo, A Pecchia, U Villano - Computers & Security, 2023 - Elsevier
Abstract Detecting attacks to Cyber-Physical Systems (CPSs) is of utmost importance, due to
their increasingly frequent use in many critical assets. Intrusion detection in CPSs and other …

[HTML][HTML] Trustworthy artificial intelligence methods for users' physical and environmental security: A comprehensive review

S Szymoniak, F Depta, Ł Karbowiak, M Kubanek - Applied Sciences, 2023 - mdpi.com
Artificial Intelligence is an indispensable element of the modern world, constantly evolving
and contributing to the emergence of new technologies. We meet it in everyday applications …

A deep learning method for lightweight and cross-device IoT botnet detection

M Catillo, A Pecchia, U Villano - Applied Sciences, 2023 - mdpi.com
Ensuring security of Internet of Things (IoT) devices in the face of threats and attacks is a
primary concern. IoT plays an increasingly key role in cyber–physical systems. Many …

[HTML][HTML] Internet of Things botnets: A survey on Artificial Intelligence based detection techniques

M Lefoane, I Ghafir, S Kabir, IU Awan - Journal of Network and Computer …, 2025 - Elsevier
Abstract The Internet of Things (IoT) is a game changer when it comes to digitization across
industries. The Fourth Industrial Revolution (4IR), brought about a paradigm shift indeed …

Towards realistic problem-space adversarial attacks against machine learning in network intrusion detection

M Catillo, A Pecchia, A Repola, U Villano - Proceedings of the 19th …, 2024 - dl.acm.org
Current trends in network intrusion detection systems (NIDS) capitalize on the extraction of
features from network traffic and the use of up-to-date machine and deep learning …

Traditional vs Federated Learning with Deep Autoencoders: A Study in IoT Intrusion Detection

M Catillo, A Pecchia, U Villano - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Security of Internet of Things (IoT) devices and networks is a primary concern. Many
intrusion detection systems (IDS) proposals in the IoT leverage machine and deep learning …

IoT security: A deep learning-based approach for intrusion detection and prevention

B Kauhsik, H Nandanwar… - … Algorithms and Soft …, 2023 - ieeexplore.ieee.org
The size and market worth of the Internet of Things (IoT) have expanded, but unfortunately,
the likelihood of user data being compromised has also risen. This presents a notable …

[PDF][PDF] Improvement detection system on complex network using hybrid deep belief network and selection features

W SHARIPUDDIN, M EA, K ZZ, IS WIJAYA… - Indonesian Journal of …, 2023 - academia.edu
The challenge for intrusion detection system on internet of things networks (IDS-IoT) as a
complex networks is the constant evolution of both large and small attack techniques and …

AutoBots: A Botnet Intrusion Detection Scheme Using Deep Autoencoders

A Verma, P Bhattacharya, VK Prasad, R Datt… - … , and Cyber-Security, 2022 - Springer
Recently, with the massive exchange of data over Internet of Things (IoT) ecosystems,
attacks surfaces have also intensified. In IoT, connected devices share data over open …

Autoencoder-Based Botnet Detection for Enhanced IoT Security

R Mahajan, M Kumar - … Development through Machine Learning, AI and …, 2023 - Springer
Abstract The Internet of Things (IoT) has revolutionized various industries by connecting
everyday objects to the internet, enabling them to collect and share data. However, the rapid …