An overview of neural networks use in anomaly Intrusion Detection Systems

TLDR: This paper presents an overview of neural networks and their use in building anomaly intrusion systems, and the ability of learning has become one of the most promising techniques to solve this problem.

Abstract: With the increasing number of computers being connected to the Internet, security of an information system has never been more urgent. Because no system can be absolutely secure, the timely and accurate detection of intrusions is necessary. This is the reason of an entire area of research, called Intrusion Detection Systems (IDS). Anomaly systems detect intrusions by searching for an abnormal system activity. But the main problem of anomaly detection IDS is that; it is very difficult to build, because of the difficulty in defining what is normal and what is abnormal. Neural network with its ability of learning has become one of the most promising techniques to solve this problem. This paper presents an overview of neural networks and their use in building anomaly intrusion systems.

Full text

An overview of neural networks use in anomaly intrusion detection systems
ABSTRACT
With the increasing number of computers being connected to the Internet, security of an
information system has never been more urgent. Because no system can be absolutely secure,
the timely and accurate detection of intrusions is necessary. This is the reason of an entire
area of research, called Intrusion Detection Systems (IDS). Anomaly systems detect
intrusions by searching for an abnormal system activity. But the main problem of anomaly
detection IDS is that; it is very difficult to build, because of the difficulty in defining what is
normal and what is abnormal. Neural network with its ability of learning has become one of
the most promising techniques to solve this problem. This paper presents an overview of
neural networks and their use in building anomaly intrusion systems.
Keyword: Anomaly detection; Intrusion detection systems; Neural network

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This is the reason of an entire area of research, called Intrusion Detection Systems ( IDS ). This paper presents an overview of neural networks and their use in building anomaly intrusion systems. Neural network with its ability of learning has become one of the most promising techniques to solve this problem.