X-IIoTID: A connectivity-agnostic and device-agnostic intrusion data set for industrial Internet of Things
M Al-Hawawreh, E Sitnikova… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) is a high-value cyber target due to the nature of the
devices and connectivity protocols they deploy. They are easy to compromise and, as they …
devices and connectivity protocols they deploy. They are easy to compromise and, as they …
[HTML][HTML] Dtl-ids: An optimized intrusion detection framework using deep transfer learning and genetic algorithm
In the dynamic field of the Industrial Internet of Things (IIoT), the networks are increasingly
vulnerable to a diverse range of cyberattacks. This vulnerability necessitates the …
vulnerable to a diverse range of cyberattacks. This vulnerability necessitates the …
Intrusion detection systems in the Internet of things: A comprehensive investigation
S Hajiheidari, K Wakil, M Badri, NJ Navimipour - Computer Networks, 2019 - Elsevier
Recently, a new dimension of intelligent objects has been provided by reducing the power
consumption of electrical appliances. Daily physical objects have been upgraded by …
consumption of electrical appliances. Daily physical objects have been upgraded by …
WILS-TRS—A novel optimized deep learning based intrusion detection framework for IoT networks
B Jothi, M Pushpalatha - Personal and Ubiquitous Computing, 2023 - Springer
Abstract Internet of Things (IoT) and its applications have gained importance in recent times
of research. The heterogeneous nature of IoT networks makes them applicable for various …
of research. The heterogeneous nature of IoT networks makes them applicable for various …
DL‐IDS: a deep learning–based intrusion detection framework for securing IoT
Abstract The Internet of Things (IoT) is comprised of numerous devices connected through
wired or wireless networks, including sensors and actuators. Recently, the number of IoT …
wired or wireless networks, including sensors and actuators. Recently, the number of IoT …
Demystifying IoT security: An exhaustive survey on IoT vulnerabilities and a first empirical look on Internet-scale IoT exploitations
The security issue impacting the Internet-of-Things (IoT) paradigm has recently attracted
significant attention from the research community. To this end, several surveys were put …
significant attention from the research community. To this end, several surveys were put …
The Rise of “Internet of Things”: Review and Open Research Issues Related to Detection and Prevention of IoT‐Based Security Attacks
This paper provides an extensive and complete survey on the process of detecting and
preventing various types of IoT‐based security attacks. It is designed for software …
preventing various types of IoT‐based security attacks. It is designed for software …
A review of performance, energy and privacy of intrusion detection systems for IoT
Internet of Things (IoT) forms the foundation of next generation infrastructures, enabling
development of future cities that are inherently sustainable. Intrusion detection for such …
development of future cities that are inherently sustainable. Intrusion detection for such …
[HTML][HTML] A machine learning-based intrusion detection for detecting internet of things network attacks
Abstract The Internet of Things (IoT) refers to the collection of all those devices that could
connect to the Internet to collect and share data. The introduction of varied devices …
connect to the Internet to collect and share data. The introduction of varied devices …
Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions
N Moustafa, N Koroniotis, M Keshk… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The field of Explainable Artificial Intelligence (XAI) has garnered considerable research
attention in recent years, aiming to provide interpretability and confidence to the inner …
attention in recent years, aiming to provide interpretability and confidence to the inner …