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This system can inspire cybersecurity professionals to design an artificial immune system (ais) based intrusion detection system (ids) The paper offers a review of recent solutions employing ais in ids, capable of detecting anomalous network traffic/breaches and operating system file infections caused by malware. These biologically inspired algorithms using self/nonself and danger theory can directly augmentids designs and implementations.
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Artificial immune systems are powerful computational models inspired by the human immune system's ability to protect the body from harm Ids offer intrusion detection capabilities, both locally and in a network environment The immune system is our body’s defense mechanism, designed to recognize and neutralize threats like bacteria, viruses, and fungi
It does this through a few key players
It offers a theoretical perspective as well as practical solutions for readers interested in ais, machine learning, pattern recognition and computer security The book begins by introducing the basic concepts, typical algorithms, important features, and some applications of ais. For example, the human immune system has inspired various artificial immune system (ais) solutions for anomaly detection Artificial immune systems (ais) have emerged as a novel approach to fortify cybersecurity in iot networks
