Search Results - (( intrusion selection mechanism algorithm ) OR ( panel optimization means algorithm ))
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Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Published 2020“…Many optimisation-based intrusion detection algorithms have been developed and are widely used for intrusion identification. …”
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Improved intrusion detection algorithm based on TLBO and GA algorithms
Published 2021“…Optimization algorithms are widely used for the identification of intrusion. …”
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Rao-SVM machine learning algorithm for intrusion detection system
Published 2020“…Being that feature subset selection is considered a multi-objective optimization problem, this study proposed the Rao-SVM as an FSS mechanism; its algorithm-specific and parameter-less concept was also explored. …”
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Optimized intrusion detection mechanism using soft computing techniques
Published 2011“…So, Genetic Algorithm (GA) is used in the optimum selection of principal components instead of using traditional method. …”
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A detector generating algorithm for intrusion detection inspired by artificial immune system
Published 2015“…Artificial immune system (AIS) allows us to inspire several ideas for the design of computer intrusion detection.The standard of negative selection algorithm (NSA), offered by Stephanie Forrest in 1994, is one of the most common mechanisms in AIS that applied in anomaly detection for the similarity of its basic idea. …”
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Feature Subset Selection in Intrusion Detection Using Soft Computing Techniques
Published 2011“…The results show that proposed method provides an optimal intrusion detection mechanism that outperforms the existing approaches and has the capability to minimize the number of features and maximize the detection rates.…”
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Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques
Published 2011“…The transductive conformal prediction and outlier detection have been employed for feature selection algorithm. Traditional intrusion detection techniques have had trouble dealing with dynamic environments. …”
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Feature Subset Selection in Intrusion Detection Using Soft Computing Techniques
Published 2011“…The results show that proposed method provides an optimal intrusion detection mechanism that outperforms the existing approaches and has the capability to minimize the number of features and maximize the detection rates.…”
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A classifier mechanism for host based intrusion detection and prevention system in cloud computing environment
Published 2018“…The mechanism’s design is based on the hybrid Antlion Optimization Algorithm (ALO) with Multilayer Perceptron (MLP) to protect against DDoS attacks. …”
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A new machine learning-based hybrid intrusion detection system and intelligent routing algorithm for MPLS network
Published 2023“…This thesis proposes a hybrid ML-based intrusion detection system (ML-IDS) and ML-based intelligent routing algorithm (ML-RA) for MPLS network. …”
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Fault identification in pipeline system using normalized hilbert huang transform and automatic selection of intrinsic mode function
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Automated calibration of baseline model for energy conservation using multi-objective Evolutionary Programming (EP) / Ahmad Amiruddin Mohammad Aris
Published 2019“…To evaluate the accuracy of building energy model, hourly criteria for Normalized Mean Biased Error (NMBE) and Coefficient of Variance Root Mean Squared Error (CV(RMSE)) as proposed by the IPMVP are used. …”
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A controller-agnostic random oracle based intrusion detection method in software defined networks / Adnan
Published 2016“…As a result, developing an efficient controller-agnostic network intrusion-detection method is imperative. We propose a diverse fusion-selection approach that stands on Oracle to be applied to the classifier ensemble design, where the Oracle is a random linear function. …”
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A multi-filter feature selection in detecting distributed denial-of-service attack
Published 2019“…It consists of 3-stage procedures: feature ranking, feature selection and classification. Subsequently, an experimental evaluation of the proposed Multi-Filter Feature Selection (M2FS) method is performed by using the benchmark dataset, NSL-KDD and employed the J48 classification algorithm. …”
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Intelligent grading of agarwood essential oil quality using artificial neural network (ANN) / Noratikah Zawani Mahabob
Published 2022“…The training and validation of the ANN was based on optimization of its training parameters and guided by the convergence of the mean squared errors (MSE). …”
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Mathematical modeling of optical and thermal behaviour of a new cascade nanofluid-based PV/T system / Samir Hassani
Published 2017“…An improved algorithm for Mie theory was developed to measure nanofluid optical properties. …”
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