Intrusion Detection - A Text Mining Based Approach

Intrusion Detection is one of major threats for organization. The approach of intrusion detection using text processing has been one of research interests which is gaining significant importance from researchers. In text mining based approach for intrusion detection, system calls serve as source for...

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Bibliographic Details
Published in:International journal of computer science and information security 2016-02, Vol.14, p.76-76
Main Authors: Kumar, Gunupudi Rajesh, Mangathayaru, N, Narsimha, G
Format: Article
Language:English
Subjects:
Computer information security
Cybersecurity
Data mining
Datasets
Gaussian
Intrusion
Intrusion detection systems
Mathematical analysis
Mathematical models
Network security
Security management
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Summary:Intrusion Detection is one of major threats for organization. The approach of intrusion detection using text processing has been one of research interests which is gaining significant importance from researchers. In text mining based approach for intrusion detection, system calls serve as source for mining and predicting possibility of intrusion or attack. When an application runs, there might be several system calls which are initiated in the background. These system calls form the strong basis and the deciding factor for intrusion detection. In this paper, we mainly discuss the approach for intrusion detection by designing a distance measure which is designed by taking into consideration the conventional Gaussian function and modified to suit the need for similarity function. A Framework for intrusion detection is also discussed as part of this research.
ISSN:1947-5500