Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A generic cyber immune framework for anomaly detection using artificial immune systems Subject The topic of the resource Artificial immune system framework; Cyber immune system; Intrusion detection system; Natural killer cells; Response time Description An account of the resource Intrusion detection systems play a significant role in computer security. Artificial immune systems are the prime contender in developing an anomaly-based intrusion detection system due to their simplicity. 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 using artificial immune system concepts. Natural killer cells in the immune system and their quick response to foreign pathogens inspired the adaptation of those cells into an artificial immune system based framework. A natural killer cell-based framework is proposed to improve the accuracy and speed of anomaly detection. The structure of the proposed framework includes major histocompatibility complex class 1 representation, affinity calculation, cell generation, and cell proliferation. This framework addresses the overlapping and hole problem while creating natural killer cells to increase the system's performance. The negative selection algorithm and the positive selection algorithm generate the cells that enhance the anomaly detection technique and give high precision. The parameter response time introduced in this paper is crucial for an intrusion system to be used in real-time. 2022 Elsevier B.V. Creator An entity primarily responsible for making the resource Bejoy B.J.; Raju G.; Swain D.; Acharya B.; Hu Y.-C. Source A related resource from which the described resource is derived Applied Soft Computing, Vol-130 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.asoc.2022.109680" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.asoc.2022.109680</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140476942&amp;doi=10.1016%2Fj.asoc.2022.109680&amp;partnerID=40&amp;md5=d63e9960f036f6fcef72bd6586ddbbe3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140476942&amp;doi=10.1016%2fj.asoc.2022.109680&amp;partnerID=40&amp;md5=d63e9960f036f6fcef72bd6586ddbbe3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15684946 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bejoy B.J., Department of CSE, CHRIST University, Bangalore, India; Raju G., Department of CSE, CHRIST University, Bangalore, India; Swain D., Department of CSE, Pandit Deendayal Energy University, Gandhinagar, India; Acharya B., Department of Computer Engineering-AI, Marwadi University, Gujarat, Rajkot, India; Hu Y.-C., Department of Computer Science and Information Management, Providence University, Taiwan