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1
An enhancement of classification technique based on rough set theory for intrusion detection system application
Published 2019“…As a result, the aim of the study is to improve classification performance in terms of accuracy, detection rate and false positive alarm rate decreased for IDS application. …”
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2
An immune-genetic algorithm with tabu local search for network intrusion detection system / Hamizan Suhaimi
Published 2021“…The performance of the proposed method and other existing techniques (Genetic Algorithm, Artificial Immune System and Immune-Genetic Algorithm) were analysed to evaluate and determine its efficiency in terms of maximum intrusion detection rate and the highest true positive rate. …”
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3
Immune-genetic algorithm(IGA) with local search for intrusion detection system in computer network / Hamizan Suhaimi, Saiful Izwan Suliman, and Ismail Musirin
Published 2021“…The combination of Genetic Algorithm, Immune Algorithm and local search has produced good detection with acuracy rate of 98.91% and has the potential to be further investigated for other research areas.…”
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4
Multi-sensor fusion based on multiple classifier systems for human activity identification
Published 2019“…To provide compact feature vector representation, we studied hybrid bio-inspired evolutionary search algorithm and correlation-based feature selection method and evaluate their impact on extracted feature vectors from individual sensor modality. …”
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Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
Published 2018“…The performance of the algorithm has been evaluated of the heart rates tracing processed from the abdominal signals. …”
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Fetal heart rate monitoring during pregnancy for assessing the well-being of the fetus
Published 2018“…The performance of the algorithm has been evaluated of the heart rates tracing processed from the abdominal signals. …”
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7
An efficient intrusion detection model based on hybridization of artificial bee colony and dragonfly algorithms for training multilayer perceptrons
Published 2020“…However, the problem of improving the accuracy and efficiency of classification models remains open and yet to be resolved. This study proposes a new binary classification model for intrusion detection, based on hybridization of Artificial Bee Colony algorithm (ABC) and Dragonfly algorithm (DA) for training an artificial neural network (ANN) in order to increase the classification accuracy rate for malicious and non-malicious traffic in networks. …”
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An improved diagnostic algorithm based on deep learning for ischemic stroke detection in posterior fossa
Published 2020“…Therefore, a new diagnostic algorithm based on DL is proposed for ischemic stroke detection in PF. …”
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9
Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
Published 2017“…The performance of the algorithm has been evaluated of the heart rates tracing processed from the abdominal signals. …”
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Hybrid intelligent approach for network intrusion detection
Published 2015“…Hence, there must be substantial improvement in network intrusion detection techniques and systems. Due to the prevailing limitations of finding novel attacks, high false detection, and accuracy in previous intrusion detection approaches, this study has proposed a hybrid intelligent approach for network intrusion detection based on k-means clustering algorithm and support vector machine classification algorithm. …”
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11
Polymorphic malware detection based on dynamic analysis and supervised machine learning / Nur Syuhada Selamat
Published 2021“…As with most studies,careful attention was paid to false positive and false negative rates which reduce their overall detection accuracy and effectiveness.The result showed that the Random Forest algorithm is the best detection accuracy compares to others classifier with 99 % on a relatively small dataset. …”
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12
Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani
Published 2016“…To evaluate the algorithm, we conducted two experiments. …”
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13
CHID : conditional hybrid intrusion detection system for reducing false positives and resource consumption on malicous datasets
Published 2017“…This study proposed a Conditional Hybrid Intrusion Detection (CHID) by combining the flow-based with packet-based detection. …”
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14
Performance evaluation of intrusion detection system using selected features and machine learning classifiers
Published 2021“…These evolutionary-based algorithms are known to be effective in solving optimization problems. …”
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15
A Bio-Inspired Behavior-Based Hybrid Framework for Ransomware Detection
Published 2026journal-article -
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A new intelligent multilayer framework for insider threat detection
Published 2021“…In several earlier studies, machine learning (ML) has been widely used for building insider threat detection systems. …”
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A New Model For Network-Based Intrusion Prevention System Inspired By Apoptosis
Published 2024thesis::doctoral thesis -
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CNN-LSTM: hybrid deep neural network for network intrusion detection system; a case
Published 2022“…The confusion matrix determines the system’s effectiveness, which includes evaluation criteria such as accuracy, precision, detection rate, F1-score, and false alarm rate (FAR). …”
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19
Modelling of intelligent intrusion detection system: making a case for snort
Published 2018“…The performance of this classifier was evaluated based on three parameters: accuracy, sensitivity, and False Positive Rate (FPR). …”
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Proceeding Paper -
20
A Cryptojacking Detection System With Product Moment Correlation Coefficient (Pmcc) Heatmap Intelligent
Published 2023“…This study aims to develop a cryptojacking detection system based to the random forest algorithm.…”
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