Hybrid Intelligent Intrusion Detection System using Bayesian and Genetic Algorithm (BAGA): Comparitive Study

VSrinivasaMurthy, Y.; Harish, K.; Varma, D. K Vishal; Sriram, Karri; Revanth, B. V S S

doi:10.5120/17342-7808

Cited by 5 publications

(1 citation statement)

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“…Generally, the use of firewall solution provides many mitigation solutions such as filter-based forwarding at logical interfaces, blocking of certain types of packets to reach a routing engine and packet counter and protection of a routing engine from DOS-DDOS attacks ( [9], [10]). However, firewall solutions suffer from many lacks of security.…”

Section: Introductionmentioning

confidence: 99%

Predicting DOS-DDOS Attacks: Review and Evaluation Study of Feature Selection Methods based on Wrapper Process

Bouzoubaa¹,

Taher²,

Nsiri³

2021

IJACSA

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Now-a-days, Cybersecurity attacks are becoming increasingly sophisticated and presenting a growing threat to individuals, private and public sectors, especially the Denial Of Service attack (DOS) and its variant Distributed Denial Of Service (DDOS). Dealing with these dangerous threats by using traditional mitigation solutions suffers from several limits and performance issues. To overcome these limitations, Machine Learning (ML) has become one of the key techniques to enrich, complement and enhance the traditional security experiences. In this context, we focus on one of the key processes that improve and optimize Machine Learning DOS-DDOS predicting models: DOS-DDOS feature selection process, particularly the wrapper process. By studying different DOS-DDOS datasets, algorithms and results of several research projects, we have reviewed and evaluated the impact on used wrapper strategies, number of DOS-DDOS features, and many commonly used metrics to evaluate DOS-DDOS prediction models based on the optimized DOS-DDOS features. In this paper, we present three important dashboards that are essential to understand the performance of three wrapper strategies commonly used in DOS-DDOS ML systems: heuristic search algorithms, meta-heuristic search and random search methods. Based on this review and evaluation study, we can observe some of wrapper strategies, algorithms, DOS-DDOS features with a relevant impact can be selected to improve the DOS-DDOS ML existing solutions.

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Section: Introductionmentioning

confidence: 99%