A systematic literature review for network intrusion detection system (IDS)

OH Abdulganiyu, T Ait Tchakoucht… - International journal of …, 2023 - Springer
With the recent increase in internet usage, the number of important, sensitive, confidential
individual and corporate data passing through internet has increasingly grown. With gaps in …

Zero-day attack detection: a systematic literature review

R Ahmad, I Alsmadi, W Alhamdani… - Artificial Intelligence …, 2023 - Springer
With the continuous increase in cyberattacks over the past few decades, the quest to
develop a comprehensive, robust, and effective intrusion detection system (IDS) in the …

Attack graph model for cyber-physical power systems using hybrid deep learning

A Presekal, A Ştefanov, VS Rajkumar… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Electrical power grids are vulnerable to cyber attacks, as seen in Ukraine in 2015 and 2016.
However, existing attack detection methods are limited. Most of them are based on power …

[HTML][HTML] Anomaly-based intrusion detection systems in iot using deep learning: A systematic literature review

MA Alsoufi, S Razak, MM Siraj, I Nafea, FA Ghaleb… - Applied sciences, 2021 - mdpi.com
The Internet of Things (IoT) concept has emerged to improve people's lives by providing a
wide range of smart and connected devices and applications in several domains, such as …

Machine learning for the detection and identification of Internet of Things devices: A survey

Y Liu, J Wang, J Li, S Niu… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a
variety of emerging services and applications. However, the presence of rogue IoT devices …

[HTML][HTML] A comprehensive study of anomaly detection schemes in IoT networks using machine learning algorithms

A Diro, N Chilamkurti, VD Nguyen, W Heyne - Sensors, 2021 - mdpi.com
The Internet of Things (IoT) consists of a massive number of smart devices capable of data
collection, storage, processing, and communication. The adoption of the IoT has brought …

A systematic review on Deep Learning approaches for IoT security

L Aversano, ML Bernardi, M Cimitile, R Pecori - Computer Science Review, 2021 - Elsevier
The constant spread of smart devices in many aspects of our daily life goes hand in hand
with the ever-increasing demand for appropriate mechanisms to ensure they are resistant …

A systematic review of AI-driven educational assessment in STEM education

F Ouyang, TA Dinh, W Xu - Journal for STEM Education Research, 2023 - Springer
Artificial intelligence (AI), as an emerging technology, has been widely used in STEM
education to promote the educational assessment. Although AI-driven educational …

[PDF][PDF] The role of machine learning in network anomaly detection for cybersecurity

A Yaseen - Sage Science Review of Applied Machine Learning, 2023 - researchgate.net
This research introduces a theoretical framework for network anomaly detection in
cybersecurity, emphasizing the integration of adaptive machine learning models, ensemble …

Towards an efficient model for network intrusion detection system (IDS): systematic literature review

OH Abdulganiyu, TA Tchakoucht, YK Saheed - Wireless Networks, 2024 - Springer
With the recent rise in internet usage, the volume of crucial, private, and confidential data
traveling online has increased. Attackers have made attempts to break into the network due …