FCM–SVM based intrusion detection system for cloud computing environment

Anomaly-based intrusion detection system through feature selection analysis and building hybrid efficient model

(2018) Shadi Aljawarneh et al.   Journal of Computational Science

A Hypergraph and Arithmetic Residue-based Probabilistic Neural Network for classification in Intrusion Detection Systems

(2017) M.R. Gauthama Raman et al.   NEURAL NETWORKS

Distributed denial of service (DDoS) resilience in cloud: Review and conceptual cloud DDoS mitigation framework

(2016) Opeyemi Osanaiye et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

An effective intrusion detection framework based on MCLP/SVM optimized by time-varying chaos particle swarm optimization

(2016) Seyed Mojtaba Hosseini Bamakan et al.   NEUROCOMPUTING

Detection of known and unknown DDoS attacks using Artificial Neural Networks

(2016) Alan Saied et al.   NEUROCOMPUTING

Evolving statistical rulesets for network intrusion detection

(2015) Samaneh Rastegari et al.   APPLIED SOFT COMPUTING

Fuzzy logic—a personal perspective

(2015) Lotfi A. Zadeh   FUZZY SETS AND SYSTEMS

Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization

(2015) Pedram Ghamisi et al.   IEEE Geoscience and Remote Sensing Letters

Two-tier network anomaly detection model: a machine learning approach

(2015) Hamed Haddad Pajouh et al.   JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

Anomaly Detection System in Cloud Environment Using Fuzzy Clustering Based ANN

(2015) N. Pandeeswari et al.   MOBILE NETWORKS & APPLICATIONS

A novel hybrid KPCA and SVM with GA model for intrusion detection

(2014) Fangjun Kuang et al.   APPLIED SOFT COMPUTING

Graph based anomaly detection and description: a survey

(2014) Leman Akoglu et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps

(2014) Emiro de la Hoz et al.   KNOWLEDGE-BASED SYSTEMS