National University of Computer and Emerging Sciences

About: National University of Computer and Emerging Sciences is a education organization based out in Islamabad, Pakistan. It is known for research contribution in the topics: Computer science & The Internet. The organization has 1506 authors who have published 2438 publications receiving 26786 citations.

Network intrusion detection using hybrid binary PSO and random forests algorithm

Abstract: Network security risks grow with increase in the network size. In recent past, the attacks on computer networks have increased tremendously and require efficient network intrusion detection mechanisms. Data mining and machine-learning techniques have been used for network intrusion detection during the past few years and have gained much popularity. In this paper, we propose an intrusion detection mechanism based on binary particle swarm optimization PSO and random forests RF algorithms called PSO-RF and investigate the performance of various dimension reduction techniques along with a set of different classifiers including the proposed approach. Binary PSO is used to find more appropriate set of attributes for classifying network intrusions, and RF is used as a classifier. In the preprocessing step, we reduce the dimensions of the dataset by using different state-of-the-art dimension reduction techniques, and then this reduced dataset is presented to the proposed PSO-RF approach that further optimizes the dimensions of the data and finds an optimal set of features. PSO is an optimization method that has a strong global search capability and is used here for dimension optimization. We perform extensive experimentation to prove the worth of the proposed approach by using different performance metrics. The standard benchmark, that is, KDD99Cup dataset, is used that contains the information about various kinds of network intrusions. The experimental results indicate that the proposed approach performs better than the other approaches for the detection of all kinds of attacks present in the dataset. Copyright © 2012 John Wiley & Sons, Ltd.

Ink-jet printed stretchable strain sensor based on graphene/ZnO composite on micro-random ridged PDMS substrate

Abstract: Strain sensors based on graphene are attracting a lot of attention for electronic applications due to its outstanding electrical and mechanical properties. In this paper, we propose a high stretchable strain sensor based on graphene flakes/ZnO composite, which is deposited on micro-random ridged type PDMS substrate. To connect between graphene flake to flake, ZnO nano particles are applied and best graphene flakes and ZnO nano particles blending ratio is 1:0.5. Using this ink, an active layer is fabricated on the micro-random ridged PDMS substrate at ambient conditions through commercialized inkjet printer DMP-3000. Especially, utilizing the micro-random ridged 1.06 mm thick PDMS substrate with surface roughness of 0.34, its stretchability is achieved up to 30%. The flexibility of the fabricated strain sensor is demonstrated down to 10 mm bending diameter. These results reveal that the proposed strain sensor has potential in diverse wearable electronic applications and diverse human motions.

Interesting measures for mining association rules

Abstract: Discovering association rules is one of the most important tasks in data mining and many efficient algorithms were proposed in the literature. However, the number of discovered rules is often so large, so the user cannot analyze all discovered rules. To overcome that problem several methods for mining interesting rules only have been proposed. Many measures have been proposed in the literature to determine the interestingness of the rule. In this paper we have selected a total of eight different measures, we have compared these measures by using a data set, and we have made some recommendation about the use of the measures for discovering the most interesting rules.

Building a Smart University Using RFID Technology

Abstract: Radio frequency identification (RFID) is getting popularity among identification technologies owing to its low cost, light weight, reduced size and inexpensive maintenance. Due to the recognition of RFID in the area of manufacturing, retail, pharmaceuticals and logistics, it is now in consideration for use in many different areas like ubiquitous computing, health care, agriculture, transport and security. Now a days security, power conservation and scalability are among the top issues that are in consideration for designing projects. In this paper, we contemplate the said issues and present how emerging technology of RFID can be used for building a smart university. Prototype is developed considering major use cases involved in a smart university. The system is taking care of maintaining attendance record, switching control of electrical items and security locks of rooms. Results show that consumption of energy and object tracking time is decreased while security of rooms and credibility of attendance record are increased.