Negative selection in anomaly detection—A survey

P Saurabh, B Verma - Computer Science Review, 2023 - Elsevier
The remarkable ability to separate and identify self and non-self in a given problem space,
makes negative selection a fascinating concept of artificial immune system. Therefore …

A review on immune-inspired node fault detection in wireless sensor networks with a focus on the danger theory

D Widhalm, KM Goeschka, W Kastner - Sensors, 2023 - mdpi.com
The use of fault detection and tolerance measures in wireless sensor networks is inevitable
to ensure the reliability of the data sources. In this context, immune-inspired concepts offer …

Intrusion detection system for ioe-based medical networks

P Lakhotia, R Dwivedi, DK Sharma… - Journal of Database …, 2023 - igi-global.com
Internet of everything (IoE) has the power of reforming the healthcare sector-various medical
devices, hardware, and software applications that are interconnected, tendering a massive …

Implementing Immune Repertoire Models Using Weighted Finite State Machines

G Schröder, I Wortel, J Textor - arXiv preprint arXiv:2308.03637, 2023 - arxiv.org
The adaptive immune system's T and B cells can be viewed as large populations of simple,
diverse classifiers. Artificial immune systems (AIS) $\unicode {x2013} $ algorithmic models …

Enhancing runtime monitors of cyber-physical systems using negative selection

JPC Araújo - 2023 - icts.unb.br
Recently, Cyber-physical systems are becoming more relevant in our day-to-day lives, thus
demanding higher reliability. The Runtime Verification field addresses this by relying on …

Artificial Immune Systems in Local and Network Cybersecurity: An Overview of Intrusion Detection Strategies

P Widuliński - Applied Cybersecurity & Internet Governance, 2023 - ceeol.com
In this paper, an overview of artificial immune systems (AIS) used in intrusion detection
systems (IDS) is provided, along with a review of recent efforts in this field of cybersecurity. In …