Intrusion Detection: Support Vector Machines and Neural Networks

A Comparative Approximate Economic Behavior Analysis Of Support Vector Machines And Neural Networks Models

Application of Artificial Neural Networks and Support Vector Machines for carbonate pores size estimation from 3D seismic data

This paper proposes a method for the prediction of pore size values in hydrocarbon reservoirs using 3D seismic data. To this end, an actual carbonate oil field in the south-western part ofIranwas selected. Taking real geological conditions into account, different models of reservoir were constructed for a range of viable pore size values.  Seismic surveying was performed next on these models. F...

Feature Selection for Intrusion Detection using Neural Networks and Support Vector Machines

Computational Intelligence (CI) methods are increasingly being used for problem solving. This paper concerns using CI-type learning machines for intrusion detection, which is a problem of general interest to transportation infrastructure protection since a necessary task thereof is to protect the computers responsible for the infrastructure’s operational control, and an effective Intrusion Dete...

Intrusion Detection in IOT based Networks Using Double Discriminant Analysis

Intrusion detection is one of the main challenges in wireless systems especially in Internet of things (IOT) based networks. There are various attack types such as probe, denial of service, remote to local and user to root. In addition to known attacks and malicious behaviors, there are various unknown attacks that some of them have similar behavior with respect to each other or mimic the norma...

An Efficient Hybrid Intrusion Detection System based on C5.0 and SVM

Nowadays, much attention has been paid to intrusion detection system (IDS) which is closely linked to the safe use of network services. Several machine-learning paradigms including neural networks, linear genetic programming (LGP), support vector machines (SVM), Bayesian networks, multivariate adaptive regression splines (MARS) fuzzy inference systems (FISs), etc. have been investigated for the...