Comparisons on Intrusion Detection and Prevention Systems in Distributed Databases

Yıl 2019, Cilt: 7 Sayı: 4, 446 - 455, 30.10.2019

Cigdem Bakir Veli Hakkoymaz Banu Diri Mehmet Güçlü

https://doi.org/10.17694/bajece.605134

Cited By: 2

Öz

With the use of distributed systems,
different users can instantly access data from different locations and perform
some operations on the data. However, the unauthorized access of multiple users
to the system from different points at the same time can lead to dangerous
results in terms of data security and confidentiality of the data. This study
is based on intrusion detection and prevention systems built on distributed
databases and classifies the methods used to analyze and evaluate successes
comparatively. It is observed that the artificial immunity algorithm we have
described in artificial intelligence techniques, which is one of the methods
classified as three categories, gives more successful results compared to the
other techniques mentioned in the data mining and statistical methods. 

Anahtar Kelimeler

Artifical intelligence method, Data mining, Distributed database, Intrusion detection system, Intrusion prevention system, Statistical method.

Kaynakça

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