Unlike traditional systems that rely on known threat patterns, AIS can identify and adapt to new/unknown threats in a similar way to biological immune responses. These capabilities are especially vital in tackling zero-day attacks and advanced cyber threats that evade conventional detection methods.
Dec 7, 2023
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May 1, 2020 · This work aims to identify, evaluate, and perform a comprehensive study of empirical research on the studies of AIS approaches to secure the IoT environment.
Artificial Immune Systems for IT-Security immune system possesses a multi- layered protection, detection and elimination architecture (see Fig. 1). The skin ...
Aug 16, 2022 · This system can inspire cybersecurity professionals to design an Artificial Immune System (AIS) based Intrusion Detection System (IDS).
Dec 29, 2016 · The system can also automatically cut off infiltrating agents from sensitive information, setting up a “honey pot” scenario where it traps the ...
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This book deals with malware detection in terms of Artificial Immune System (AIS), and presents a number of AIS models and immune-based feature extraction ...
The fundamental goal of this paper is to create a generic framework for an artificial immune system which is fast and accurate in detecting anomalies.
Dec 23, 2023 · Artificial immune systems (AIS) play a pivotal role in the realm of AI, leveraging the principles of biological immune systems to drive innovative solutions.
Sep 25, 2009 · Artificial immune systems are a paradigm inspired by the immune system and are used for solving computational and information processing ...
This book provides state-of-the-art information on the use, design, and development of the Artificial Immune System (AIS) and AIS-based solutions to computer ...