A method of SVM with Normalization in Intrusion Detection
Explore this paper's citation graph
Summary
Experiments results show that the method using SVM with normalization has much better performance compared to the method use SVM without normalization in classing intrusion data of KDD99 and Min-Max Normalization has better performance in speed, accuracy of cross validation and quantity of support vectors than other normalization methods.
- Type
- article
- Published
- 2011-01-01
- Cited by
- 211
- References
- 8
- Access
- Open access
- OpenAlex
- https://openalex.org/W2012771827
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:62537337
Keywords
Normalization (sociology), Support vector machine, Computer science, Database normalization, Intrusion detection system
References
- K-fold generalization capability assessment for support vector classifiers
- Similarity-based classifier combination for decision making
- A tutorial on support vector regression
- Intrusion detection using neural networks and support vector machines
- Information criteria for support vector machines
- Identifying important features for intrusion detection using support vector machines and neural networks
- A Tutorial on Support Vector Machines for Pattern Recognition
- The Nature of Statistical Learning Theory
- The Nature of Statistical Learning Theory
Cited by
- Experiments on Selection of Pre-processing Method for Performance Augmentation of Classifier
- Intrusion Detection By Data Mining Algorithms: A Review
- Intrusion Detection System Using Bagging Ensemble Method of Machine Learning
- Improving intrusion detection using a novel normalization method along with the use of harmony search algorithm for feature selection
- Fuzzy Interval TSK Type‐2 Modeling with Parameterized Conjunctors
- Detecting Cyber-Attacks on Wireless Mobile Networks Using Multicriterion Fuzzy Classifier with Genetic Attribute Selection
- A Multicriterion Fuzzy Classification Method with Greedy Attribute Selection for Anomaly-based Intrusion Detection
- Lightweight approach for detection of denial of service attacks using numeric to binary preprocessing
- A critical feature extraction by kernel PCA in stock trading model
- Intrusion detection using a cascade of boosted classifiers (CBC)
- Network Intrusion Detection Using Multi-Criteria PROAFTN Classification
- Analyses of a Cirrhotic Patient’s Evolution Using Self Organizing Mapping and Child-Pugh Scoring
- Training of support vector machine with the use of multivariate normalization
- One-class support vector machines: analysis of outlier detection for wireless sensor networks in harsh environments
- Analysis of Machine Learning Techniques for Intrusion Detection System: A Review
- A Framework for Simulation of Intrusion Detection System using Support Vector Machine
- An Efficient Hybrid Intrusion Detection System based on C5.0 and SVM
- Hybrid Safety Analysis Method Based on SVM and RST: An Application to Carrier Landing of Aircraft
- Estudio comparativo de técnicas de selección de características para la clasificación de lesiones de mama en ultrasonografía
- Evaluating Transit Operator Efficiency: An Enhanced DEA Model with Constrained Fuzzy-AHP Cones
Related papers
- Application of support vector machine in intrusion detection
- Network-Based Intrusion Detection with Support Vector Machines
- Mobile Agents in Intrusion Detection System: Review and Analysis
- NORMA-Gene: A simple and robust method for qPCR normalization based on target gene data
- Housekeeping Protein (HKP) Normalization Protocol v1
- Preprocessing and Pretreatment of Metabolomics Data for Statistical Analysis.