@inproceedings{5a4c9c6120d349c5beffdfa4587179ec,
title = "Proposed Face Recognition System Based on Immune Inspired Anomaly Detection Using Symbiotic Agents",
abstract = "This paper proposes the design of a face recognition system based on immune inspired anomaly detection using intelligent agents with symbiotic relationships. Based on the reviewed literature, the advantages of the aforementioned technologies will synergise to create an effective system in scenarios where a person's details are not as important as maintaining a current representation of their face and detecting anomalous individuals. The paper discusses the working of the individual agents and their symbiotic relationships in the proposed model. Two example scenarios illustrate how the proposed system may be implemented to take advantage of the characteristics of immune inspired anomaly detection.",
keywords = "Anomaly Detection, Face Recognition, Immune Inspired Computation, Symbiotic Agents",
author = "Ruan Spijkerman and Elizabeth Ehlers",
note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 4th International Conference on Computational Intelligence and Intelligent Systems, CIIS 2021 ; Conference date: 20-11-2021 Through 22-11-2021",
year = "2021",
month = nov,
day = "20",
doi = "10.1145/3507623.3507627",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "19--24",
booktitle = "CIIS 2021 - 2021 4th International Conference on Computational Intelligence and Intelligent Systems",
}