On the Efficacy of Live DDoS Detection with Hadoop

Distributed Denial of Service flooding attacks are one of the biggest challenges to the availability of online services today. These DDoS attacks overwhelm the victim with huge volume of traffic and render it incapable of performing normal communication or crashes it completely. If there are delays in detecting the flooding attacks, nothing much can be done except to manually disconnect the victim and fix the problem. With the rapid increase of DDoS volume and frequency, the current DDoS detection technologies are challenged to deal with huge attack volume in reasonable and affordable response time. In this paper, we propose HADEC, a Hadoop based Live DDoS Detection framework to tackle efficient analysis of flooding attacks by harnessing MapReduce and HDFS. We implemented a counter-based DDoS detection algorithm for four major flooding attacks (TCP-SYN, HTTP GET, UDP and ICMP) in MapReduce, consisting of map and reduce functions. We deployed a testbed to evaluate the performance of HADEC framework for live DDoS detection. Based on the experiments we showed that HADEC is capable of processing and detecting DDoS attacks in affordable time

Large-scale optimization : combining co-operative coevolution and fitness inheritance

Large-scale optimization, here referring mainly to problems with many design parameters remains a serious challenge for optimization algorithms. When the problem at hand does not succumb to analytical treatment (an overwhelmingly common place situation), the engineering and adaptation of stochastic black box optimization methods tends to be a favoured approach, particularly the use of Evolutionary Algorithms (EAs). In this context, many approaches are currently under investigation for accelerating performance on large-scale problems, and we focus on two of those in this research. The first is co-operative co-evolution (CC), where the strategy is to successively optimize only subsets of the design parameters at a time, keeping the remainder fixed, with an organized approach to managing and reconciling these subspace optimization. The second is fitness inheritance (FI), which is essentially a very simple surrogate model strategy, in which, with some probability, the fitness of a solution is simply guessed to be a simple function of the finesses of that solution’s parents. Both CC and FI have been found successful on nontrivial and multiple test cases, and they use fundamentally distinct strategies. In this thesis, we explored the extent to which both of these strategies can be used to provide additional benefits. In addition to combining CC and FI, this thesis also introduces a new FI scheme which further improves the performance of CC-FI. We show that the new algorithm CC-FI is highly effective for solving problems, especially when the new FI scheme is used. In the thesis, we also explored two basic adaptive parameter setting strategies for the FI component. We found that engineering FI (and CC, where it was otherwise not present) into these algorithms led to good performance and results

The Effect of Strategic Planning on the Success of E-Learning: Al-Nisour University College as a Case Study

Purpose: This study aims to identify the effect of strategic planning with the dimensions (strategic orientation, strategic analysis, and strategic choice) within e-learning and the dimensions (personal dimensions, environmental dimensions, and system dimensions) at Al-Nisour University College.   Theoretical framework: The importance of the study stemmed from the instrumental role of strategic planning before the transition from traditional education to e-learning.   Design/methodology/approach: The study used the descriptive analytical curriculum.  In order to collect the required data, the form of a questionnaire was adopted and applied to a sample of (60) teaching staff at the university, in addition to adopting the method of interviews. The study used a set of statistical methods, the most important ones are (arithmetic mean, standard deviation, coefficient of variation, Pearson correlation coefficient, and multiple linear regression coefficients).   Findings: Strategic planning has an instrumental role in the success of e-learning. The weakness of strategic planning for the college understudy towards e-learning led to a set of challenges for the transformation of this type of work. This is proved by the results of the relationship between strategic planning and the success of e-learning.   Research, Practical & Social implications: The study There are many teachers who are unable to use electronic education programs to enable them to deal and teach through, due to the lack of training courses and the lack of a clear approach to improving and developing e-learning. so colleges must Make training courses and educational workshops for teachers and students on how to use e-learning programs to master the tools of e-learning.   Originality/value: The results indicate the need to pay attention to E-learning and to use strategic planning with efficiency to meet the requirements of the college’s needs

An Analysis of Public Expenditure on Education in Pakistan

Achieving economic growth is an important goal of any country. However, in recent years it has increasingly been realised that economic growth is a necessary but not a sufficient condition for human development. Pakistan provides a good example of a country which has historically enjoyed a respectable GDP growth rate and yet failed to translate this positive development into a satisfactory level of human development. Since its independence in 1947, Pakistan’s development policies have focused primarily on realising high economic growth and only incidentally on the task of providing social necessities. Such a process has given rise to a structure of production and distribution which has been only indirectly responsive to social goals. However, there is now a growing realisation that we could have done much better had we stressed human resource investments relatively more.

Proposing Robust LAD-Atan Penalty of Regression Model Estimation for High Dimensional Data

       لاقت قضية نموذج الانحدار اهتمامًا بالغ الأهمية لاختيار المتغيرات، إذ انه يؤدي دورًا أساسيًا في التعامل مع البيانات ذات  الابعاد العالية. يتم استخدام معكوس الظل الذي يشير إليه  دالة جزاء Atan في كل من التقدير والاختيار المتغير كطريقة فعالة. ومع ذلك ، فإن دالة الجزاء  Atan حساسة جدًا للقيم الشاذة لمتغيرات الاستجابة أو توزيع ملتوي للأخطاء أو توزيع ذو ذيل ثقيل. بينما  : LAD هي وسيلة جيدة للحصول على حصانة تقدير الانحدار. ان الهدف الاساس من هذا البحث هو اقتراح مُقدّر Atan يجمع بين هاتين الفكرتين في آن واحد. لقد اظهرت تجارب المحاكاة وتطبيق البيانات الحقيقية أن مقدّر LAD-Atan المقترح هو الافضل مقارنة بالمقدرات الاخرى.           The issue of penalized regression model has received considerable critical attention to variable selection. It plays an essential role in dealing with high dimensional data. Arctangent denoted by the Atan penalty has been used in both estimation and variable selection as an efficient method recently. However, the Atan penalty is very sensitive to outliers in response to variables or heavy-tailed error distribution. While the least absolute deviation is a good method to get robustness in regression estimation. The specific objective of this research is to propose a robust Atan estimator from combining these two ideas at once. Simulation experiments and real data applications show that the proposed LAD-Atan estimator has superior performance compared with other estimators. &nbsp

Analysis of Public Expenditure on Education in Pakistan

This study attempts to analyse the priorities accorded to Education by the federal as well as the provincial governments. Since education is in large part a provincial responsibility, a comparative analysis of the performance of the public sector education in the four provinces of Pakistan would be useful to provide feedbacks to the provincial administrations of relative strengths and weaknesses of their educational system. Also, differences in priorities and performance among provinces provide useful insights, and, more importantly, raise many questions for planners. Such an analysis is also necessary for overall resource allocation. The analysis will be extended to district level but confined to Punjab and Sindh due to data constraints. The study will also examine the disparities in budget allocations to education in the two provinces.Education; Public expenditures; Pakistan