ISSN 2394-5125
 

Research Article 


RECENT TRENDS OF DATA MINING IN THE FIELD OF INTRUSION DETECTION SYSTEM

Sachin Bhardwaj, Yogesh Kumar, Manish Kumar, Praveen Kr. Raghuvanshi.

Abstract
ABSTRACT
Intrusion detection system is a process of detecting intrusion in database, network or any other device for providing
secure data transmission. Rapid growth and involvement of internet raises concerns about how to protect and convey
the digital information in a safe manner. During recent years, the number of infiltrations on networks has
significantly elevated and leads to an interest in network intrusion detection among the researchers. Various data
mining techniques are u s e d to monitor and analyze a large amount of network data and differentiate these data into
anomalous and normal data. The data mining techniques such as classification and clustering are used to identify.
The intrusion attacks. This paper provides a comparison of different types of data mining techniques used in
Intrusion detection and prevention system. Due to these techniques effective detection of the malicious activities in
the network traffic can be done.

Key words: Keywords: Intrusion, Data mining, IDS, IDPS


 
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How to Cite this Article
Pubmed Style

Sachin Bhardwaj, Yogesh Kumar, Manish Kumar, Praveen Kr. Raghuvanshi. RECENT TRENDS OF DATA MINING IN THE FIELD OF INTRUSION DETECTION SYSTEM. JCR. 2020; 7(17): 2360-2365. doi:10.31838/jcr.07.17.291


Web Style

Sachin Bhardwaj, Yogesh Kumar, Manish Kumar, Praveen Kr. Raghuvanshi. RECENT TRENDS OF DATA MINING IN THE FIELD OF INTRUSION DETECTION SYSTEM. http://www.jcreview.com/?mno=99341 [Access: August 18, 2021]. doi:10.31838/jcr.07.17.291


AMA (American Medical Association) Style

Sachin Bhardwaj, Yogesh Kumar, Manish Kumar, Praveen Kr. Raghuvanshi. RECENT TRENDS OF DATA MINING IN THE FIELD OF INTRUSION DETECTION SYSTEM. JCR. 2020; 7(17): 2360-2365. doi:10.31838/jcr.07.17.291



Vancouver/ICMJE Style

Sachin Bhardwaj, Yogesh Kumar, Manish Kumar, Praveen Kr. Raghuvanshi. RECENT TRENDS OF DATA MINING IN THE FIELD OF INTRUSION DETECTION SYSTEM. JCR. (2020), [cited August 18, 2021]; 7(17): 2360-2365. doi:10.31838/jcr.07.17.291



Harvard Style

Sachin Bhardwaj, Yogesh Kumar, Manish Kumar, Praveen Kr. Raghuvanshi (2020) RECENT TRENDS OF DATA MINING IN THE FIELD OF INTRUSION DETECTION SYSTEM. JCR, 7 (17), 2360-2365. doi:10.31838/jcr.07.17.291



Turabian Style

Sachin Bhardwaj, Yogesh Kumar, Manish Kumar, Praveen Kr. Raghuvanshi. 2020. RECENT TRENDS OF DATA MINING IN THE FIELD OF INTRUSION DETECTION SYSTEM. Journal of Critical Reviews, 7 (17), 2360-2365. doi:10.31838/jcr.07.17.291



Chicago Style

Sachin Bhardwaj, Yogesh Kumar, Manish Kumar, Praveen Kr. Raghuvanshi. "RECENT TRENDS OF DATA MINING IN THE FIELD OF INTRUSION DETECTION SYSTEM." Journal of Critical Reviews 7 (2020), 2360-2365. doi:10.31838/jcr.07.17.291



MLA (The Modern Language Association) Style

Sachin Bhardwaj, Yogesh Kumar, Manish Kumar, Praveen Kr. Raghuvanshi. "RECENT TRENDS OF DATA MINING IN THE FIELD OF INTRUSION DETECTION SYSTEM." Journal of Critical Reviews 7.17 (2020), 2360-2365. Print. doi:10.31838/jcr.07.17.291



APA (American Psychological Association) Style

Sachin Bhardwaj, Yogesh Kumar, Manish Kumar, Praveen Kr. Raghuvanshi (2020) RECENT TRENDS OF DATA MINING IN THE FIELD OF INTRUSION DETECTION SYSTEM. Journal of Critical Reviews, 7 (17), 2360-2365. doi:10.31838/jcr.07.17.291