[PDF] Top 20 A Model for Intrusion Detection based on Negative Selection Algorithm and J48 Decision Tree

A Model for Intrusion Detection based on Negative Selection Algorithm and J48 Decision Tree

... An intrusion can be defined as a breach in the security ...reason, intrusion detection generally refers to the mechanisms that are developed to identify the breaches in security ...the ... See full document

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AN ENHANCED RULE APPROACH FOR NETWORK INTRUSION DETECTION USING EFFICIENT DATA ADAPTED DECISION TREE ALGORITHM

... Misuse detection compares the upcoming network traffic to the database of known attack with the help of signatures to detect ...anomaly detection approach creates a profile (normal) based on the ... See full document

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Intrusion detection model using integrated clustering and decision trees

... initialization algorithm is applied in order to get the initial clusters and its ...initialization algorithm is followed. Then attribute subset selection method is used to select the most determining ... See full document

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Intelligent Intrusion Detection in Computer Networks using Swarm Intelligence

... (NMF) algorithm for profiling a program and user behaviours for anomaly intrusion detection and Ant Colony Optimization algorithm (ACO) for solving computational problems by a probabilistic ... See full document

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Knowledgeable Handling of Impreciseness in Feature Subset Selection using Intuitionistic Fuzzy Mutual Information of Intrusion Detection System

... IDS based feature selection model which integrates both filter and wrapper ...cuttlefish algorithm correspondingly. Decision tree is used as the classifier in the proposed ...in ... See full document

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A MODEL FOR MEASURING ARTICLES KNOWLEDGEABILITY LEVELS

... as intrusion detection systems ...like Negative Selection Algorithm, Clonal Selection, and the danger ...IDS based on the combination of these immune algorithms to better ... See full document

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Modified Mutual Information-based Feature Selection for Intrusion Detection Systems in Decision Tree Learning

... Feature selection is the process of selecting a subset of relevant features for use in model ...feature selection technique is that the data contains many redundant or irrelevant ...feature ... See full document

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A Hybrid Intrusion Detection System Based on C5.0 Decision Tree Algorithm and One-Class SVM with CFA

... Intrusion detection is one major research problem in network security; main goal is to detect infrequent access or attacks to protect internal ...feature selection algorithm based on ... See full document

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The dendritic cell algorithm for intrusion detection

... the Negative Selection Algorithm (NSA) (Hofmeyr &Forrest, 1999), the Clonal Selection Algorithm (CSA) (de Castro &Von Zuben, 2000), the algorithms based on idiotypic ... See full document

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Decision Tree: A Machine Learning for Intrusion Detection

... distinctive selection methods such as information gain, gain ratio, and correlation-based feature selection, where they selected 33 features out of 41 then classified these features for comparing the ... See full document

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An Ensemble Approach Based on Decision Tree and Bayesian Network for Intrusion Detection

... ensemble based intrusion detection system aimed for providing a better security on a computer or an arbitrary ...the selection of comprehensive sets of classifier algorithms was chosen for the ... See full document

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Real Time and Offline Network Intrusion Detection using Improved Decision Tree Algorithm

... Classification based algorithms provide a significant advantage in order to detect attacks in the training ...attacks detection is gradually decreased as data source is ...robust decision tree ... See full document

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Detection of Intrusion Using Decision Tree Based Data Mining Technique

... of J48 territory meaning missing esteems, decision trees pruning, consistent trait esteem ranges, inference of principles, and so ...instrument, J48 is an open source Java usage of the ... See full document

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Intrusion Detection Using Decision Tree Based Data Mining Technique

... of J48 area counting for missing values, decision trees pruning, continuous attribute value ranges, derivation of rules, ...tool, J48 is an open source Java implementation of the ...This ... See full document

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Analysis of Data mining Algorithm in Intrusion Detection

... Data mining techniques can be divided into three categories, according to a different view: classification, association and sequence rules. Classification, the data is mapped to one or more predefined categories. In the ... See full document

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An Efficient Intrusion Detection using J48 Decision Tree in KDDCUP99 Dataset

... anomaly detection may be categorized as model based and non- model ...perfect based anomaly indicators, it is expected that are cognized faultless is obtainable for the standard ... See full document

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Building an Effective Intrusion Detection System using combined Signature and Anomaly Detection Techniques

... effective intrusion detection method that combined signature based detection and anomaly based detection was ...genetic algorithm as feature selection and C4.5 ... See full document

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Data Mining Based Online Intrusion Detection

... in intrusion detection will be together sufficient “normal” and “abnormal” audit data for a user or a ...Anomaly detection techniques thus identify new types of intrusions as deviations from normal ... See full document

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Entropy Variation and J48 Algorithm based Intrusion Detection System for Cloud Computing

... and J48 decision tree classification ...Distributed intrusion detection system which provides functionality of Host based and network based intrusion ... See full document

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Descriptive classification of cost risks in construction projects

... of negative or positive outcome" so its need management [1] Risk management is defined as the process identifications, analysis, arrange , mitigations , planning, monitoring and control of events, which has ... See full document

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