An Enhanced Grey Wolf Optimisation–Deterministic Convolutional Neural Network (GWO–DCNN) Model-Based IDS in MANET

K. Prashanth S.â, Hena Iqbal () and Babu Illuri ()
Additional contact information
K. Prashanth S.â: Vasavi College of Engineering, Ibrahimbagh, Hyderabad 500031, Telangana, India
Hena Iqbal: Ajman University, Ajman, UAE
Babu Illuri: Vardhaman College of Engineering, Shamshabad, Hyderabad 501218, Telangana, India

Journal of Information & Knowledge Management (JIKM), 2023, vol. 22, issue 04, 1-19

Abstract: At present, ensuring the security of MANET is a highly challenging chore due to the dynamic topology of the network. Hence, most of the existing Frameworks for Intrusion Detection Systems (IDS) seek to predict the attacks by utilising the clustering and classification mechanisms. Still, they face the major problems of reduced convergence speed, high error rate and increased complexity in the algorithm design. Therefore, this paper intends to utilise integrated optimisation and classification methods for accurately predicting the classified label. This framework comprises the working modules of preprocessing, feature extraction, optimisation and classification. Initially, the input datasets are preprocessed by filling the missing values, and normalising the redundant contents. After that, the Principal Component Analysis (PCA) technique is employed for selecting the set of features used for improving the classification performance. Consequently, the Grey Wolf Optimisation (GWO) technique is utilised for selecting the most optimal features based on the best fitness value, which reduces the overall complexity of IDS. Finally, the Deterministic Convolutional Neural Network (DCNN) technique is utilised for predicting whether the classified outcomes are normal or attacks. For validating the results, various performance metrics have been assessed during the analysis, and the obtained results are compared with the recent state-of-the-art models.

Keywords: Mobile Ad-hoc NETwork (MANET); Intrusion Detection System (IDS); data normalisation; Principal Component Analysis (PCA); Grey Wolf Optimisation (GWO); Deterministic Convolutional Neural Network (DCNN) (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219649223500107
Access to full text is restricted to subscribers

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:wsi:jikmxx:v:22:y:2023:i:04:n:s0219649223500107

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219649223500107

Access Statistics for this article

Journal of Information & Knowledge Management (JIKM) is currently edited by Professor Suliman Hawamdeh

More articles in Journal of Information & Knowledge Management (JIKM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().