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 …

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] 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 …

[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 …

Blockchain‐Based Secure Localization against Malicious Nodes in IoT‐Based Wireless Sensor Networks Using Federated Learning

GG Gebremariam, J Panda… - … and mobile computing, 2023 - Wiley Online Library
Wireless sensor networks are the core of the Internet of Things and are used in healthcare,
locations, the military, and security. Threats to the security of wireless sensor networks built …

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 …

[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 …

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 …

Training fuzzy deep neural network with honey badger algorithm for intrusion detection in cloud environment

DK Jain, W Ding, K Kotecha - International Journal of Machine Learning …, 2023 - Springer
Cloud computing (CC) has become one of the prominent technologies because of the
significant utility services, which focus on outsourcing data to companies and individual …

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 …