Analysis of Advanced Persistent Threats (APT)
| المصدر: | مجلة جامعة الحسين بن طلال للبحوث |
|---|---|
| الناشر: | جامعة الحسين بن طلال - عمادة البحث العلمي والدراسات العليا |
| المؤلف الرئيسي: | Al-Sit, Waleed (Author) |
| مؤلفين آخرين: | Al-Zoubi, Hani (Co-Author) , Qtaishat, Khaldoun (Co-Author) |
| المجلد/العدد: | مج5, ملحق |
| محكمة: | نعم |
| الدولة: |
الأردن |
| التاريخ الميلادي: |
2019
|
| الصفحات: | 60 - 73 |
| DOI: |
10.36621/0397-005-985-005 |
| ISSN: |
2519-7436 |
| رقم MD: | 1035861 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EduSearch, AraBase, HumanIndex |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Network Security | Advanced Persistent Threats | APT Detection
|
| رابط المحتوى: |
عدد مرات التحميل
7
| المستخلص: |
Despite the large numbers of malware programs, Advanced Persistent Threat (APT) has an appreciable impact in attack environment nowadays. APT is a deliberately cyber-attack that is utilized to target specific and sensitive information in systems without revealing itself. APTs usually use several methods of attack to have possibility of unauthorized access to system and get the targeted information. This survey studies and analysis three types of attack model and consider the attack pyramid as the model of APTs attack. Also, we present a detection framework as well as the methodology of its implementation. The method proposes to use the MapReduce operation to evaluate all the possible events and context where the attack might take place. The results show that using these methods will improve the performance as well as reduce the overall load. |
|---|---|
| ISSN: |
2519-7436 |
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