2013Unpublished venueRequires access

A Survey of Techniques for Intrusion Detection System

Mr. Rahul Chinchore, Prof S. S. Sambare, Wagholi Pune

Open publisher page 1 citations

Abstract

Abstract — In this paper we will discuss the various kinds of anomalous and malicious activities, which can be a symptoms of Intrusion. The term Intrusion detection was coined in 1980. Since then many Frameworks for Intrusion Detection were proposed and executed successfully. But, day by day attackers come-up with new ideas, and with them, the field of Intrusion detection should also update in the technologies and methods of detecting Intrusions in the network. So, in this paper we will discuss about various frameworks or methods which were proposed by researchers, and their use and effectiveness in the field of Intrusion Detection. To detect Intrusion in the network we required a distributed approach which is a kind of using small independent entities, called as Agents, to detect these anomalous or malicious behaviors. Along with this the different data mining methods and algorithms are also used in Intrusion Detection. Keywords- intrusion detection, IDS techniques.

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What this paper is about

Abstract — In this paper we will discuss the various kinds of anomalous and malicious activities, which can be a symptoms of Intrusion. The term Intrusion detection was coined in 1980. Since then many Frameworks for Intrusion Detection were proposed and executed successfully. But, day by day attackers come-up with new ideas, and with them, the field of Intrusion detection should also update in the technologies and methods of detecting Intrusions in the network. So, in this paper we will discuss about various frameworks or methods which were proposed by researchers, and their use and effectiveness in the field of Intrusion Detection. To detect Intrusion in the network we required a distributed approach which is a kind of using small independent entities, called as Agents, to detect these anomalous or malicious behaviors. Along with this the different data mining methods and algorithms are also used in Intrusion Detection. Keywords- intrusion detection, IDS techniques.

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Available abstract

Abstract — In this paper we will discuss the various kinds of anomalous and malicious activities, which can be a symptoms of Intrusion. The term Intrusion detection was coined in 1980. Since then many Frameworks for Intrusion Detection were proposed and executed successfully. But, day by day attackers come-up with new ideas, and with them, the field of Intrusion detection should also update in the technologies and methods of detecting Intrusions in the network. So, in this paper we will discuss about various frameworks or methods which were proposed by researchers, and their use and effectiveness in the field of Intrusion Detection. To detect Intrusion in the network we required a distributed approach which is a kind of using small independent entities, called as Agents, to detect these anomalous or malicious behaviors. Along with this the different data mining methods and algorithms are also used in Intrusion Detection. Keywords- intrusion detection, IDS techniques.

Key concepts: Intrusion detection system, Anomaly-based intrusion detection system, Computer science, Field (mathematics), Intrusion, Intrusion prevention system, Data mining, Network security

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