Hybrid Intrusion Detection with Weighted Signature Generation over Anomalous Internet Episodes

Hwang, Kai; Cai, Min; Chen, Ying; Qin, Min

doi:10.1109/tdsc.2007.9

Cited by 143 publications

(76 citation statements)

References 19 publications

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“…In the paper [12], a hybrid approach for adaptive network intrusion detection which involves a hybrid model combining HMM based model with Naive Bayesian (NB) based approach was proposed. But it holds some difficulties that might arise when implementing HMM model in real time.In the hybrid system [13] the advantages of low false-positive rate of signature-based intrusion detection system (IDS) and the ability of anomaly detection system (ADS) was combined to detect novel unknown attacks. This technique leads to fast and accurate intrusion detection.…”

Section: Related Workmentioning

confidence: 99%

A Network Intrusion Detection System Using Clustering and Outlier Detection

Jeyanna¹,

E.Indumathi²,

Punithavathani³

et al. 2015

IJIRCCE

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ABSTRACT:With the growth of networked computers and associated applications, intrusion detection has become essential to keeping networks secure. A number of intrusion detection methods have been developed for protecting computers and networks using conventional statistical methods as well as data mining methods. It is necessary that the capabilities of intrusion detection methods be updated with the creation of new attacks. This paper proposes a hybrid intrusion detection method that uses a combination of supervised and outlier based methods for improving the efficiency of detection of new and old attacks. The method is evaluated with the benchmark intrusion dataset called the knowledge discovery and data mining Cup 1999 dataset and the new version of KDD (NSL-KDD) dataset. Thus the performance of our method is very good.

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Section: Related Workmentioning

confidence: 99%

A Network Intrusion Detection System Using Clustering and Outlier Detection

Jeyanna¹,

E.Indumathi²,

Punithavathani³

et al. 2015

IJIRCCE

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“…The TCP congestion window is one example of such possibilities. Furthermore, we plan to simulate a dynamic game where both the attacker and the defender can alter their strategies during the attack event [16]. They also plan to contribute their NetHook module to the NS-3 codebases in order to make it available to other researchers interested in packet manipulation within the simulator.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Game Theory for Network Security using IPDRS Engine

P¹,

Nadu²

2015

International Journal of Advanced Research in Computer and Comm

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Abstract:With the tremendous growth of network technology, network attackers are also rationally increased to disrupt the activities and hacking the data from the network users by the intruder. To provide the security from the intruder is most important one. Many researchers were proposed a different approach for providing security they does not tackle the problem, it leads an untruthful in the network. In existing system they propose a game based intrusion request and response process by game play of header node to access the data by their correct play, from this if the real header play it in wrong method means all the client user under the header also suffer from the access of the data. To tackle this issue we enhanced the game theory based on the individual play in the network to avoid the suffering of misplayed game played by the header using the IPDRS Engine.

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“…Decision table is used to the particular response is associated with a particular attack. Rule-based is used to determine the appropriate response to intrusive behavior [7].…”

Section: Automatic Intrusion Responsementioning

confidence: 99%

Survey on Automated Intrusion Response System Using Game Theory

Anuvarsha.¹,

Rajeshkumar²

2014

International Journal of Advanced Research in Computer and Comm

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Abstract:With the increasing number of network technology, intruders are also rationally increased. To provide the security to the network from the intruders is one of the vital one, this survey presents Intrusion Response System to handle the intruders by request and response process by using Game theory. This survey provides a better understanding of the different research approaches by applying game theory for the Automated Intrusion Response System (AIRS). It focuses on fictitious play, fuzzy game, and zero-sum game for automatic response system to the intruders. This survey helps to the researchers in various fields to develop game-theoretic solutions in current and emerging security problems in network security.

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Hybrid Intrusion Detection with Weighted Signature Generation over Anomalous Internet Episodes

Cited by 143 publications

References 19 publications

A Network Intrusion Detection System Using Clustering and Outlier Detection

A Network Intrusion Detection System Using Clustering and Outlier Detection

Optimal Game Theory for Network Security using IPDRS Engine

Survey on Automated Intrusion Response System Using Game Theory

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