RDTIDS: Rules and Decision Tree-Based Intrusion Detection System for Internet-of-Things Networks

Mohamed Amine Ferrag, Leandros Maglaras, Ahmed Ahmim, Makhlouf Derdour and Helge Janicke
Additional contact information
Mohamed Amine Ferrag: Department of Computer Science, Guelma University, Guelma 24000, Algeria
Leandros Maglaras: School of Computer Science and Informatics, De Montfort University, Leicester LE1 9BH, UK
Ahmed Ahmim: Departement of Mathematics and Computer Science, Mohamed-Cherif Messaadia University, Souk Ahras 41000, Algeria
Makhlouf Derdour: Departement of Mathematics and Computer Science, University of Larbi Tebessi, Tebessa 12002, Algeria
Helge Janicke: Cyber Security Cooperative Research Centre, Edith Cowan University, Perth 6027, Australia

Future Internet, 2020, vol. 12, issue 3, 1-14

Abstract: This paper proposes a novel intrusion detection system (IDS), named RDTIDS, for Internet-of-Things (IoT) networks. The RDTIDS combines different classifier approaches which are based on decision tree and rules-based concepts, namely, REP Tree, JRip algorithm and Forest PA. Specifically, the first and second method take as inputs features of the data set, and classify the network traffic as Attack/Benign. The third classifier uses features of the initial data set in addition to the outputs of the first and the second classifier as inputs. The experimental results obtained by analyzing the proposed IDS using the CICIDS2017 dataset and BoT-IoT dataset, attest their superiority in terms of accuracy, detection rate, false alarm rate and time overhead as compared to state of the art existing schemes.

Keywords: intrusion detection; IDS; hybrid IDS; learning machine; hierarchical; network security (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1999-5903/12/3/44/pdf (application/pdf)
https://www.mdpi.com/1999-5903/12/3/44/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:12:y:2020:i:3:p:44-:d:327127

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().