Comparative study between fuzzy C-Means algorithm and artificial immune network algorithm in intrusion detection system
Intrusion Detection Systems (IDS) is special software developed in order to protect the system against security threats and malware. IDS provides second line of defense after rule based firewall. Unfortunately IDS with supervised learning approach heavily rely on labeled training data and generally...
محفوظ في:
المؤلف الرئيسي: | Abunada, Ahmed A. A. |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2013
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/33102/5/AhmedAAAbunadaMFSKSM2013.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Hybrid artificial neural network and gravitational search algorithm in intrusion detection system
بواسطة: Rahati, Shahdokht
منشور في: (2013) -
Hybrid simple artificial immune system and gravitational search algorithm for spam detection
بواسطة: Mousa, Hisham N. A.
منشور في: (2013) -
Anomaly intrusion detection system using immune network with reduced network traffic features
بواسطة: Qasem, Murad Abdo Rassam
منشور في: (2010) -
Spam detection using hybrid of artificial neural network and genetic algorithm
بواسطة: Arram, Anas W. A.
منشور في: (2013) -
Adapting Artificial Immune Algorithms For University Timetabling
بواسطة: Malim , Muhammad Rozi
منشور في: (2009)