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Intelligent Machine Learning Mechanism for Advanced Persistent Threats "APT" Early Detection

المصدر: مجلة الجامعة اليمنية
الناشر: الجامعة اليمنية
المؤلف الرئيسي: Ali, Al-Marhabi Zaid (Author)
مؤلفين آخرين: G., Al-Hamdi Ayeda (Co-Author) , A., Habeb Abduljlil (Co-Author)
المجلد/العدد: ع4
محكمة: نعم
الدولة: اليمن
التاريخ الميلادي: 2020
الشهر: ديسمبر
الصفحات: 153 - 188
ISSN: 2664-5831
رقم MD: 1442819
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: EduSearch, HumanIndex
مواضيع:
كلمات المؤلف المفتاحية:
Advanced Persistent Threats (APTs) | Machine Learning | UEBA | Cyber Security Attack
رابط المحتوى:
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LEADER 02486nam a22002537a 4500
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041 |a eng 
044 |b اليمن 
100 |9 764514  |a Ali, Al-Marhabi Zaid  |e Author 
245 |a Intelligent Machine Learning Mechanism for Advanced Persistent Threats "APT" Early Detection 
260 |b الجامعة اليمنية  |c 2020  |g ديسمبر 
300 |a 153 - 188 
336 |a بحوث ومقالات  |b Article 
520 |b Advanced Persistent Threats (APTs) are the major risk to the security of the online systems , therefore, its detection is very important. User and Entity Behavior Analytics (UEBA) mechanism detects . APTs by utilizing the machine learning algorithms, APTs are electronic attacks aimed at a particular place, usually governmental or private. Typically, the objective of these cyber-attacks is to steal valuable information from their database. The attack by APTs is a significant issue for the security of information and global networks. APT attacks may be combined with shareware or other software for downloading. Many kinds of APTs do not have difficulty passing the system firewall, their malicious behavior is hidden and they avoid all traditional detection methods with advanced evasion techniques. Advanced Persistent Threats (APTs) are type of attacks that are very dangerous and they cause a lot of damages in the cyberspace, the main objective of this paper is to design and implement detection and prediction mechanisms of Advanced Persistent Threats (APTs) using cybersecurity and machine learning. Thus our research paper attempts to find a mechanism to identify the attacks that can be classified as APT attacks 
653 |a الجرائم الإلكترونية  |a الأمن السيبراني  |a تكنولوجيا المعلومات 
692 |b Advanced Persistent Threats (APTs)  |b Machine Learning  |b UEBA  |b Cyber Security Attack 
700 |a G., Al-Hamdi Ayeda  |e Co-Author  |9 764515 
700 |a A., Habeb Abduljlil  |e Co-Author  |9 764516 
773 |4 العلوم الإنسانية ، متعددة التخصصات  |4 العلوم الاجتماعية ، متعددة التخصصات  |6 Humanities, Multidisciplinary  |6 Social Sciences, Interdisciplinary  |c 005  |e Al-Yemenia University journal  |f Mağallaẗ al-ğāmiʿaẗ al-yamaniyyaẗ.  |l 004  |m ع4  |o 2511  |s مجلة الجامعة اليمنية  |v 000  |x 2664-5831 
856 |u 2511-000-004-005.pdf 
930 |d y  |p y  |q n 
995 |a EduSearch 
995 |a HumanIndex 
999 |c 1442819  |d 1442819 

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