د. قتيبة أنور الذبيان

عميد كلية الهندسة

مقر العين

+97137024880

engineering@aau.ac.ae

التعليم

علوم حاسب آلي، جامعة اركنساس، الولايات المتحدة الأميريكية

MSc Computer Science, University of Michigan – Dearborn, USA

Conference Paper

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.


Conference Paper Full-text Available

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 …