arima:1974 -
Revue Africaine de Recherche en Informatique et Mathématiques Appliquées,
October 4, 2014,
Volume 17 - 2014 - Special issue CARI'12
-
https://doi.org/10.46298/arima.1974
Immunological Approach for Intrusion Detection
Authors: Meriem Zekri 1; Labiba Souici-Meslati 1
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Meriem Zekri;Labiba Souici-Meslati
1 Département d'Informatique [Annaba]
One of the central challenges with computer security is determining the difference between normal and potentially harmful behavior. For decades, developers have protected their systems using classical methods. However, the growth and complexity of computer systems or networks to protect require the development of automated and adaptive defensive tools. Promising solutions are emerging with biological inspired computing, and in particular, the immunological approach. In this paper, we propose two artificial immune systems for intrusion detection using the KDD Cup'99 database. The first one is based on the danger theory using the dendritic cells algorithm and the second is based on negative selection. The obtained results are promising
A Perception Model of Spam Risk Assessment Inspired by Danger Theory of Artificial Immune Systems
3 Documents citing this article
Source : OpenCitations
Elayni, Marwa; Jemili, Farah, 2017, Using MongoDB Databases For Training And Combining Intrusion Detection Datasets, Software Engineering, Artificial Intelligence, Networking And Parallel/Distributed Computing, pp. 17-29, 10.1007/978-3-319-62048-0_2.
Marques, Rafael Salema; Epiphaniou, Gregory; Al-Khateeb, Haider; Maple, Carsten; Hammoudeh, Mohammad; De Castro, Paulo AndrĂŠ Lima; Dehghantanha, Ali; Choo, Kkwang Raymond, 2021, A Flow-based Multi-agent Data Exfiltration Detection Architecture For Ultra-low Latency Networks, ACM Transactions On Internet Technology, 21, 4, pp. 1-30, 10.1145/3419103.
Zainal, Kamahazira; Jali, Mohd Zalisham, 2015, A Perception Model Of Spam Risk Assessment Inspired By Danger Theory Of Artificial Immune Systems, Procedia Computer Science, 59, pp. 152-161, 10.1016/j.procs.2015.07.530.