International Journal of Engineering
Trends and Technology

Research Article | Open Access | Download PDF
Volume 74 | Issue 3 | Year 2026 | Article Id. IJETT-V74I3P127 | DOI : https://doi.org/10.14445/22315381/IJETT-V74I3P127

VCROA-DNFN: A Big Data Approach in MapReduce Framework for DDoS Attack Detection using Optimized Deep Neuro Fuzzy Network

Rahul Vijay Kotawadekar, Suhasini Vijaykumar, Priya Chandran

Received Revised Accepted Published
22 Dec 2025 24 Jan 2026 06 Feb 2026 28 Mar 2026

Citation :

Rahul Vijay Kotawadekar, Suhasini Vijaykumar, Priya Chandran, "VCROA-DNFN: A Big Data Approach in MapReduce Framework for DDoS Attack Detection using Optimized Deep Neuro Fuzzy Network," International Journal of Engineering Trends and Technology (IJETT), vol. 74, no. 3, pp. 388-407, 2026. Crossref, https://doi.org/10.14445/22315381/IJETT-V74I3P127

Abstract

DDoS attacks have emerged as a major menace to network security, which is extremely challenging to privacy and service provision. Although different methodologies have been established to detect attacks and prevent their outcome, the methodologies remain ineffective in offering effective identification accuracy because of the high rate of false alarms. This paper will overcome these shortcomings by introducing an optimized version of deep learning methodology called Velocity Contour-based Remora Optimization Algorithm (VCROA)-Deep Neuro Fuzzy network (DNFN), which can be used to identify DDoS attacks in a MapReduce big data system. The VCROA algorithm incorporates the velocity contour mechanism in the Remora Optimization Algorithm (ROA) to choose the best features and optimize the weights of the network to increase the learning ability of the DNFN classifier. The experimental findings show that the proposed VCROA-DNFN to detect DDoS attacks has achieved an optimal accuracy, recall, and F-measure of 91.10, 93.70, and 91.70. The large values of precision, recall, and F-measure indicate that the proposed model is strong and consistent in the detection of DDoS attacks.

Keywords

Deep Neuro Fuzzy Network (DNFN), MapReduce, Velocity Contour-based Remora Optimization Algorithm (VC-ROA), Intrusion Detection System (IDS), Distributed Denial of Service (DDoS).

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