Rule-Based Approach For Detecting Advanced Persistent Threat Using Behavioral Features Of Credential Dumping Technique
The shift from the manual approach of processing data to the digitized method has made organizational data prone to various attacks by cybercriminals. Advanced Persistent Threat (APT) is a recent threat that has ravaged many industries and governments. APT causes enormous damages for data loss, e...
محفوظ في:
المؤلف الرئيسي: | Ali Mohamed, Nachaat Abdelatif |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2022
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.usm.my/59238/1/24%20Pages%20from%20NACHAAT%20ABDELATIF%20ALI%20MOHAMED%20-%20TESIS.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Rule-Based Approach For Detecting Botnet Based On Domain Name System
بواسطة: Alieyan, Kamal Ibrahim Ahmed
منشور في: (2018) -
Metaheuristic-Based Neural Network
Training And Feature Selector For
Intrusion Detection
بواسطة: Ghanem, Waheed Ali Hussein Mohammed
منشور في: (2019) -
A behavior based algorithm to detect spam bots
بواسطة: Zamil, Mohammed Fadhil
منشور في: (2009) -
Rule Generation Based On Structural Clustering For Automatic Question Answering
بواسطة: Song , Shen
منشور في: (2009) -
A Machine Learning Classification Approach To Detect Tls-Based Malware Using Entropy-Based Flow Set Features
بواسطة: Keshkeh, Kinan
منشور في: (2022)