Critical Review on Privacy and Security Issues in Data Mining

被引:0
|
作者
Babu, Pasupuleti Nagendra [1 ]
Ramakrishna, S. [2 ]
机构
[1] Rayalaseema Univ, Dept Comp Sci, Kurnool, India
[2] SV Univ, Dept Comp Sci, Tirupati, Andhra Pradesh, India
关键词
Data mining; Security; Privacy; Algorithm; Dataset;
D O I
10.1007/978-981-15-0135-7_21
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the present day, research of data mining security and privacy issues plays an important role in protecting the data. Data mining is the procedure that derives, categorize, and evaluates the effectiveness and suitability of the data from vast datasets given by numerous sources leading to privacy and security issues. This paper reviews various data mining methods used to identify the privacy, security threats and investigates their usage and limitations. The critical review on problems faced in denial of service, distributed denial of service, malware, botnet, spyware, probing, and ransomware has been thoroughly discussed and analyzed using data mining techniques.
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页码:217 / 230
页数:14
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