Recent research indicates a lot of attempts to create an Intrusion Detection System that is capable of learning and recognizing attacks it faces for the first time. Benchmark datasets were created by the MIT Lincoln Lab and by the International Knowledge Discovery and Data Mining group (KDD). A few competitions were held and many systems developed. The overall preference was given to Expert Systems that were based on Decision Making Tree algorithms. This work is devoted to the problem of Neural Networks as means of Intrusion Detection. After multiple techniques and methodologies are investigated, we show that properly trained Neural Networks are capable of fast recognition and classification of different attacks. The advantage of the taken ...
According to this thesis title - Intrusion Detection Using Artificial Neural Network is whereby a n...
In this paper we discuss and analyze some of the intelligent classifiers which allows for automatic ...
The use of Machine Learning (ML) techniques in Intrusion Detection Systems (IDS) has taken a promine...
Recent research indicates a lot of attempts to create an Intrusion Detection System that is capable ...
This work is devoted to the problem of Neural Networks as means of Intrusion Detection. We show that...
In this paper, some of the methods used in the intrusion detection system were described using the n...
Due to the expansion of high-speed Internet access, the need for secure and reliable networks has be...
Purpose. The article is aimed at the development of a methodology for detecting attacks on a compute...
Intrusion detection is an emerging area of research in the computer security and net-works with the ...
In this paper, we present concepts in artificial neural networks (ANN) to help detect intrusion atta...
Generally, Intrusion Detection Systems (IDS) work using two methods of identification of attacks: by...
An intrusion detection system (IDS) is an important feature to employ in order to protect a system a...
Over the last two years, machine learning has become rapidly utilized in cybersecurity, rising from ...
La seguridad es tema crucial para los sistemas informáticos, por lo que los Sistemas de Detección de...
In this paper we presented a novel intrusion detection mode based on understandable Neural Network T...
According to this thesis title - Intrusion Detection Using Artificial Neural Network is whereby a n...
In this paper we discuss and analyze some of the intelligent classifiers which allows for automatic ...
The use of Machine Learning (ML) techniques in Intrusion Detection Systems (IDS) has taken a promine...
Recent research indicates a lot of attempts to create an Intrusion Detection System that is capable ...
This work is devoted to the problem of Neural Networks as means of Intrusion Detection. We show that...
In this paper, some of the methods used in the intrusion detection system were described using the n...
Due to the expansion of high-speed Internet access, the need for secure and reliable networks has be...
Purpose. The article is aimed at the development of a methodology for detecting attacks on a compute...
Intrusion detection is an emerging area of research in the computer security and net-works with the ...
In this paper, we present concepts in artificial neural networks (ANN) to help detect intrusion atta...
Generally, Intrusion Detection Systems (IDS) work using two methods of identification of attacks: by...
An intrusion detection system (IDS) is an important feature to employ in order to protect a system a...
Over the last two years, machine learning has become rapidly utilized in cybersecurity, rising from ...
La seguridad es tema crucial para los sistemas informáticos, por lo que los Sistemas de Detección de...
In this paper we presented a novel intrusion detection mode based on understandable Neural Network T...
According to this thesis title - Intrusion Detection Using Artificial Neural Network is whereby a n...
In this paper we discuss and analyze some of the intelligent classifiers which allows for automatic ...
The use of Machine Learning (ML) techniques in Intrusion Detection Systems (IDS) has taken a promine...