Epigenetic Algorithm-Based Detection Technique for Network Attacks

Abstract

Nowadays, the cybersecurity issue involves new strategies to protect against advanced threats and unknown attacks. Intrusion detection system (IDS) is considered a robust system dealing with attacks detection, particularly unknown attacks and anomalies. Several IDS-based algorithms have been recently inspected in the literature, among them the well-known strengthen algorithms, i.e. Genetic algorithm (GA). Moreover, Epigenetic-based algorithm (EGA) is known as an improved version of GA ensuring high performance with reduced computational complexity. Its main goal is to converge within a short time towards an optimal solution by acting on genetic operators, namely mutation and crossover. In this paper, we propose a new classifier based on EGA for IDS. Especially, based on a database of network traffics, EGA is applied to classify attacks. The results, performed through EGA simulation, show that the performance of the proposed technique outperforms the ones of GA classifier by obtaining a high detection rate up to 98% and a faster processing time than that of GA and other algorithms that we have compared in this paper.

BSLnO: Multi‐agent based distributed intrusion detection system using Bat Sea Lion Optimization‐based hybrid deep learning approach

“…The performance enhancement of the developed approach is compared with the classical schemes, such as DL‐MAFID, 22 Deep reinforcement learning (DRL)‐based IDS, 3 MHDM, 24 EGA, 25 deep maxout network, 35 and deep residual network 36 …”

“…Moreover, the method was not suitable for practical applications, and communication of the MHDM system was insecure and ineffective. Ezzarii et al 25 developed an improved version of Genetic Algorithm (GA) named Epigenetic‐based algorithm (EGA) for the effective detection of network attacks. The main function of the developed model was to converge within less time toward best solution by acting on genetic functions, such as crossover and mutation.…”

Epigenetik Algoritma ile Konferans Çizelgeleme

“…With the Epigenetic Algorithm, the solution to the multidimensional backpack problem (Knapsack Problem) has been developed. Ezzarii et al, in another study, developed an attack detection system for advanced threats and emphasized that an Epigenetic Algorithm-based attack classifier provides higher performance [58] ALGORITHM 1: EPIGENETIC ALGORITHM [ The pseudo-code of the epigenetic Algorithm is shown with Algorithm 1.…”

Intrusion Detection for Network Based on Elite Clone Artificial Bee Colony and Back Propagation Neural Network

“…The authors prove through experiments that the proposed algorithm improves the classification accuracy and shortens the classification time. Work [20] proposed an intrusion detection classifier based on the epigenetic algorithm to classify network attack types. The authors prove through experimental comparison that the performance of the proposed new algorithm has a higher detection rate than the GA classifier, and the processing time is faster than GA and other classification algorithms.…”