Dağıtık Veritabanlarında Saldırı Önleme Metotları

Year 2020, Volume: 10 Issue: 2, 425 - 441, 15.04.2020

Cigdem Bakir Veli Hakkoymaz Banu Diri Mehmet Güçlü

https://doi.org/10.17714/gumusfenbil.612774

Cited By: 1

Abstract

Dağıtık sistemlerin kullanılmasıyla birlikte
verilere farklı kullanıcılar farklı yerlerden anlık erişim sağlayabilmekte ve
veriler üzerinde birtakım işlemler yapabilmektedir. Ancak, birden fazla
kullanıcının aynı anda farklı noktalardan sisteme yetkisiz olarak erişmek
istemesi veri güvenliği ve verinin gizliliği noktasında tehlikeli sonuçlar
doğurabilmektedir. Bu çalışma, dağıtık veritabanları üzerine inşa edilmiş
saldırı tespit ve önleme sistemleri üzerine olup, kullanılan metotların
sınıflamasını yaparak, başarılarını analiz etmekte ve karşılaştırmalı olarak
değerlendirmektedir. Üç kategori olarak sınıflandırılan yöntemlerden yapay zeka
teknikleri içerisinde yer alan yapay bağışıklık algoritmasının  veri madenciliği ve istatistiksel yöntemler
içerisinde geçen diğer tekniklere oranla daha başarılı sonuçlar verdiği
gözlenmiştir.

Keywords

Dağıtık Veritabanı, İstatistiksel Yöntemler, Saldırı Tespit Sistemleri, Saldırı Önleme Sistemleri, Veri Madenciliği, Yapay Zeka Yöntemleri

Intrusion Prevention Methods in Distributed Databases

Abstract

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.

Keywords

Distributed Database, Statistical Method, Intrusion Detection System, Intrusion Prevention System, Data Mining, Artifical Intelligence Method

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