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 …

[HTML][HTML] Enhancing IoT network security through deep learning-powered Intrusion Detection System

SA Bakhsh, MA Khan, F Ahmed, MS Alshehri, H Ali… - Internet of Things, 2023 - Elsevier
The rapid growth of the Internet of Things (IoT) has brought about a global concern for the
security of interconnected devices and networks. This necessitates the use of efficient …

[HTML][HTML] Deep learning-based intrusion detection approach for securing industrial Internet of Things

S Soliman, W Oudah, A Aljuhani - Alexandria Engineering Journal, 2023 - Elsevier
The widespread deployment of the Internet of Things (IoT) into critical sectors such as
industrial and manufacturing has resulted in the Industrial Internet of Things (IIoT). The IIoT …

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 …

M-MultiSVM: An efficient feature selection assisted network intrusion detection system using machine learning

AV Turukmane, R Devendiran - Computers & Security, 2024 - Elsevier
The intrusions are increasing daily, so there is a huge amount of privacy violations, financial
loss, illegal transferring of information, etc. Various forms of intrusion occur in networks, such …

数据归一化方法综述.

杨寒雨, 赵晓永, 王磊 - Journal of Computer Engineering & …, 2023 - search.ebscohost.com
当今, 人工智能已经广泛应用到各个领域中, 并取得了显著的效果. 数据归一化是人工智能应用
落地中的一个重要环节, 它有助于避免神经网络因数据量纲的复杂性对数据进行错误建模 …

[HTML][HTML] A novel hybrid ensemble learning for anomaly detection in industrial sensor networks and SCADA systems for smart city infrastructures

YK Saheed, OH Abdulganiyu, TA Tchakoucht - Journal of King Saud …, 2023 - Elsevier
Abstract Critical Infrastructures (CIs) use Supervisory Control and Data Acquisition (SCADA)
systems for monitoring and remote control. Sensor networks are being integrated into all …

A cognitive security framework for detecting intrusions in IoT and 5G utilizing deep learning

UK Lilhore, S Dalal, S Simaiya - Computers & Security, 2024 - Elsevier
The fast growth of Internet of Things (IoT) gadgets and 5G networks has increased linkage
and accessibility. However, growing interconnectivity poses new threat levels in these …

IDERES: Intrusion detection and response system using machine learning and attack graphs

JR Rose, M Swann, KP Grammatikakis, I Koufos… - Journal of Systems …, 2022 - Elsevier
The rapid increase in the use of IoT devices brings many benefits to the digital society,
ranging from improved efficiency to higher productivity. However, the limited resources and …

Design of an intrusion detection model for IoT-enabled smart home

D Rani, NS Gill, P Gulia, F Arena, G Pau - IEEE Access, 2023 - ieeexplore.ieee.org
Machine learning (ML) provides effective solutions to develop efficient intrusion detection
system (IDS) for various environments. In the present paper, a diversified study of various …