This paper describes a collection of 0/1 Integer Programming Problems that are associated with the selection of appropriate Rule Portfolios for Real Time ...

Problems that are associated to the selection of appropriate rule portfolios for Real Time Intrusion Detection Systems. Following the developments in [5] ...

This paper describes a collection of 0/1 Integer Programming Problems that are associated with the selection of appropriate Rule Portfolios for Real Time ...

Jun 1, 2024 · In this paper, the KOMIG (knapsack optimization and mutual information gain) IDS was developed to detect network intrusions.

Jul 22, 2024 · This paper proposed a novel method named Attention Long-term Recurrent Network-based Random Chaotic Sine (ALRN-RCS) algorithm for network intrusion detection.

This research provides an efficient deep learning-based approach to enhance the attack identification task by addressing the basic big data complexity.

Aug 12, 2024 · In this paper, an enhanced equilibrium optimization (EO) version named Levy-opposition-equilibrium optimization (LOEO) is proposed to select effective features ...

Sep 4, 2023 · Optimization of predictive performance of intrusion detection system using hybrid ensemble model for secure systems. Research Article.

It is proved that Adaboost algorithm can effectively solve the intrusion detection problem by optimizing BP neural network.

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