[HTML][HTML] Application of artificial immune systems in advanced manufacturing

R Pinto, G Gonçalves - Array, 2022 - Elsevier
In recent years, the application of Advanced Manufacturing Technologies (AMT) in industrial
processes represents the introduction of different Advanced Manufacturing Systems (AMS) …

Sampled value attack detection for busbar differential protection based on a negative selection immune system

J Mo, H Yang - Journal of Modern Power Systems and Clean …, 2022 - ieeexplore.ieee.org
Considering a variety of sampled value (SV) attacks on busbar differential protection (BDP)
which poses challenges to conventional learning algorithms, an algorithm to detect SV …

A review of human immune inspired algorithms for intrusion detection systems

C Duru, J Ladeji–Osias, K Wandji… - 2022 IEEE World AI …, 2022 - ieeexplore.ieee.org
Security and trust of Information Systems are critical in its design as they directly influence
users' view and acceptance of such systems. Security can be said to be a contextual and …

Enhanced MANET security using artificial immune system based danger theory to detect selfish nodes

LE Jim, N Islam, MA Gregory - Computers & Security, 2022 - Elsevier
The dynamic distributed topology of a Mobile Ad Hoc Network (MANET) provides many
challenges including decentralized infrastructure wherein each node acts as both the host …

Multiclass anomaly detection for unsupervised and semi-supervised data based on a combination of negative selection and clonal selection algorithms

YJ Kim, W Nam, J Lee - Applied Soft Computing, 2022 - Elsevier
A key challenge in anomaly detection is the imbalance between the amounts of normal and
abnormal signal data. Specifically, the amount of abnormal signal data is considerably less …

Continual learning classification method and its application to equipment fault diagnosis

D Li, S Liu, F Gao, X Sun - Applied Intelligence, 2022 - Springer
Classification methods play a significant role in the fault diagnosis field. However, they
cannot effectively recognize new types of fault data and improve their classification …

Self-updating continual learning classification method based on artificial immune system

X Sun, H Wang, S Liu, D Li, H Xiao - Applied Intelligence, 2022 - Springer
Currently, major classification methods belong to batch learning methods, which need to
obtain all data once before learning. However, in practice, it is usually difficult to handle all …

An improved negative selection algorithm-based fault detection method

A Abid, MT Khan, IU Haq, S Anwar… - IETE Journal of …, 2022 - Taylor & Francis
Fault detection has been an active research field and increasingly important for the safety of
technical processes and systems. A variety of fault detection methods have been developed …

An exploration analysis of social media security

S Verma, S Mishra - Predictive data security using AI: insights and issues …, 2022 - Springer
Social media security is a rising concern among today's generation, as when the pandemic
started, a lot more people than before have begun using social media due to lack of …

[图书][B] Developing a Cybersecurity Immune System for Industry 4.0

S Petrenko - 2022 - taylorfrancis.com
Cyber immune systems try to mimic the adaptive immune system of humans and animals
because of its capability to detect and fend off new, unseen pathogens. Today's current …