التعليم
- علوم حاسب آلي، جامعة اركنساس، الولايات المتحدة الأميريكية
- MSc Computer Science, University of Michigan – Dearborn, USA
العضويات
أهداف التنمية المستدامة المرتبطة بالخبرات
في عام 2015 اتفقت الدول الأعضاء في الأمم المتحدة على 17 هدفًا للتنمية المستدامة لإنهاء الفقر، وحماية الكوكب، وضمان الرفاه للجميع.
تساهم خبرة هذه الشخصية في أهداف التنمية المستدامة التالية:
A knowledge-base model for insider threat prediction
يونيو 20, 2017
Qutaibah Althebyan
Brajendra Panda
Many consider insider attacks to be more severe and devastating than outsider attacks. Many techniques exist for defending against outsider attacks. However, little work has been presented for defending insider attacks and threats. In this work, we presented a prediction technique for insider threats. Due to the nature of these kinds of attacks, we relied on some characteristics of the insiders and the decomposition of objects in the underlying system in developing our method.
Multi-threading based map reduce tasks scheduling
يناير 04, 2014
Qutaibah Althebyan
Omar ALQudah
Yaser Jararweh
Qussai Yaseen
Map Reduce is a parallel and a distributed computing framework used to process datasets that have large scale nature on a cluster. Due to the nature of data that needs to be handled in the Map Reduce problem which involves huge amount of data, many problems came up that are of great importance. Scheduling tasks is considered one of these major problems that face Map Reduce frameworks. In this paper, we tackled this problem and proposed a new scheduling algorithm that is based on a multi-threading principle. In our proposed algorithm, we divided the cluster into multi blocks where each one of them is scheduled by a special thread. Two major factors are used to test our algorithm; the simulation time and the energy consumption. Our proposed scheduler is then compared with existing schedulers and the results showed the superiority and the preference of our proposed scheduler over the existing …
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