Add to ORKGAn evolutionary fuzzy rule-learning algorithm is proposed in this paper. This algorithm utilizes a Particle Swarm Optimization (PSO) approach to search the neighborhood of each individual in the problem search space. The evolutionary algorithm is based on the Michigan approach, which means that each individual in the population represents a fuzzy if-then rule. The proposed learning approach is performed on intrusion detection that is a complex classification problem. Results show that the final classification system is capable of detecting known intrusive behaviors in a computer network with an acceptable performance
Computer network technologies are evolving fast and the development of internet technology is more q...
Intrusion Detection Systems (IDS) have become a necessary component of the computer and information ...
Abstract:- An Intrusion Detection System (IDS) is a program that analyzes what happens or has happen...
An Intrusion Detection System should optimally be capable of detecting both known attacks (misuse de...
An Intrusion Detection System should optimally be capable of detecting both known attacks (misuse de...
Abstract: In this paper we have proposed an evolutionary algorithm to induct fuzzy classification ru...
The Internet and computer networks are exposed to an increasing number of security threats With new...
ABSTRACT This paper presents a method for constructing intrusion detection systems based on efficie...
With the rapid rise of technology, many unusual and unwanted patterns have been observed in the comm...
The quantity of network attacks and the harm from them is constantly increasing, so the detection of...
Intrusion Detection Systems (IDSs) are used to establish if someone has made an intrusion into the n...
Fuzzy logic based methods together with the techniques from Artificial Intelligence have gained impo...
In this paper, we present a multi-objective genetic fuzzy system for anomaly intrusion detection. Th...
Network intrusion detection systems (IDSs) dynamically monitor communication events on a network, an...
Network intrusion detection systems (IDSs) dynamically monitor communication events on a network, an...
Computer network technologies are evolving fast and the development of internet technology is more q...
Intrusion Detection Systems (IDS) have become a necessary component of the computer and information ...
Abstract:- An Intrusion Detection System (IDS) is a program that analyzes what happens or has happen...
An Intrusion Detection System should optimally be capable of detecting both known attacks (misuse de...
An Intrusion Detection System should optimally be capable of detecting both known attacks (misuse de...
Abstract: In this paper we have proposed an evolutionary algorithm to induct fuzzy classification ru...
The Internet and computer networks are exposed to an increasing number of security threats With new...
ABSTRACT This paper presents a method for constructing intrusion detection systems based on efficie...
With the rapid rise of technology, many unusual and unwanted patterns have been observed in the comm...
The quantity of network attacks and the harm from them is constantly increasing, so the detection of...
Intrusion Detection Systems (IDSs) are used to establish if someone has made an intrusion into the n...
Fuzzy logic based methods together with the techniques from Artificial Intelligence have gained impo...
In this paper, we present a multi-objective genetic fuzzy system for anomaly intrusion detection. Th...
Network intrusion detection systems (IDSs) dynamically monitor communication events on a network, an...
Network intrusion detection systems (IDSs) dynamically monitor communication events on a network, an...
Computer network technologies are evolving fast and the development of internet technology is more q...
Intrusion Detection Systems (IDS) have become a necessary component of the computer and information ...
Abstract:- An Intrusion Detection System (IDS) is a program that analyzes what happens or has happen...