Abstract Data mining technique deals with the problem of discovering novel and interesting knowledge from huge amount of data. This problem is often performed heuristically when the extraction of patterns is difficult using standard query mechanisms or classical statistical methods. Data mining researchers have studied subjective measures of interestingness to reduce the volume of discovered knowledge to ultimately improve the overall... Data mining technique deals with the problem of discovering novel and interesting knowledge from huge amount of data. This problem is often performed heuristically when the extraction of patterns is difficult using standard query mechanisms or classical statistical methods. Data mining researchers have studied subjective measures of interestingness to reduce the volume of discovered knowledge to ultimately improve the overall efficiency of KDD process. In this study, we pushed the novelty measure into a genetic algorithm to form constraints to the algorithm to discover only novel and hence interesting patterns. The proposed approach has a flexible chromosome encoding technique that uses Bayesian theorem where each chromosome corresponds to a classification rule. The proposed approach makes use of a hybrid approach that uses objective and subjective measures to quantify novelty of rules during the discovery process in terms of their deviations from the known rules. We experiment the proposed framework with some public dataset and tested using real life applications. The experimental results are quite promising. Read More Read Less

Abstract In a tightly coupled Next Generation Wireless Network (NGWN), a large number of different radio access technologies (RATs) will be integrated into one common network. These RATs are owned by one operator or multicooperative operators. Selecting the most optimal and promising RAT is an important consideration for overall networks stability, resource utilization, operator benefits, user satisfaction, and Quality of Service... In a tightly coupled Next Generation Wireless Network (NGWN), a large number of different radio access technologies (RATs) will be integrated into one common network. These RATs are owned by one operator or multicooperative operators. Selecting the most optimal and promising RAT is an important consideration for overall networks stability, resource utilization, operator benefits, user satisfaction, and Quality of Service (QoS) provisioning. However, choosing the best RAT is not a trivial task and there are many parameters and criteria to take into account when selecting the best access network. This paper presents and designs a multi criteria RNS solution that considers an environment with a co-existed WWAN, WMAN, and WLAN. The developed solution contains two modules. The first module resides in the user terminal. It contains a network-assisted terminalcontrolled algorithm to reflect the user viewpoint in the selection process. The second module resides in the CRRM entity. It contains a terminal-assisted networkcontrolled algorithm to reflect the operator viewpoint of the selection decision. The developed solution uses a combined parallel fuzzy logic control and Multi- Criteria Decision Making (MCDM) system to achievescalable, flexible, general, and adaptable solution. The simulation results show that our solution has betterand more robust performance over several reference algorithms. Read More Read Less

Abstract Structured Query Language (SQL) injection is an attack method used by hackers to retrieve, manipulate, fabricate or delete information in organizations’ relational databases through Web applications. Construction of secure software is not easy task, given the complexities that may be faced. SQL injection is increasingly exploiting the weaknesses of software year after year around the world. Security relevant issues in... Structured Query Language (SQL) injection is an attack method used by hackers to retrieve, manipulate, fabricate or delete information in organizations’ relational databases through Web applications. Construction of secure software is not easy task, given the complexities that may be faced. SQL injection is increasingly exploiting the weaknesses of software year after year around the world. Security relevant issues in this area had not been properly addressed in relevant literatures during the development cycle of software. This paper conducts an approach called Centralized Dynamic Protection against SQL Injection Attacks in Web Applications (CDPIA) that creates a data type for checking system to prevent data type mismatch in dynamically generated SQL queries. To strengthen the approach, CDPIA utilizes encryption technique using Rivest, Shamir and Adleman (RSA) algorithm. The paper also discusses and presents most common Web application vulnerabilities with possible attack scenarios. An implementation of the system is described by using an MS SQL written in Microsoft Visual Studio with C#. The presented approach has been tested and verified using both manual and automated method. Results show that the implemented approach can handle most common SQL injections and data type mismatches. Read More Read Less

Abstract This paper presents an applied study in data mining and knowledge discovery. It aims at discovering patterns within historical students’ academic and financial data at UST (University of Science and Technology) from the year 1993 to 2005 in order to contribute improving academic performance at UST. Results show that these rules concentrate on three main issues, students’ academic achievements (successes... This paper presents an applied study in data mining and knowledge discovery. It aims at discovering patterns within historical students’ academic and financial data at UST (University of Science and Technology) from the year 1993 to 2005 in order to contribute improving academic performance at UST. Results show that these rules concentrate on three main issues, students’ academic achievements (successes and failures), students’ drop out, and students’ financial behavior. Clustering (by K-means algorithm), association rules (by Apriori algorithm) and decision trees by (J48 and Id3 algorithms) techniques have been used to build the data model. Results have been discussed and analyzed comprehensively and then well evaluated by experts in terms of some criteria such as validity, reality, utility, and originality. In addition, practical evaluation using SQL queries have been applied to test the accuracy of produced model (rules). Read More Read Less

Abstract The Internet has today become the main channel to perform the e-business activities, and consequently, most of the products and services have been transformed from physical products/services to digital products/services, and the manner of delivery of such products (e.g. Journals, certificates, images, advertising, video… etc) have been converted to the digital way. The ease of copying and transforming digital products... The Internet has today become the main channel to perform the e-business activities, and consequently, most of the products and services have been transformed from physical products/services to digital products/services, and the manner of delivery of such products (e.g. Journals, certificates, images, advertising, video… etc) have been converted to the digital way. The ease of copying and transforming digital products generates an intellectual property problem; that means, the copying and transformation of digital products will be achieved without the permission of the owner or publisher. The useful proposed way to solve intellectual property problem is digital watermarking technique. This technique has been used to keep copyright of digital products, such as audio, video, image, and general digital documents. The ownership authentication and the illegal copies identification of digital media are the main issues of the copyright protection [7], that we will discuss in this paper. In this paper, we propose a copyright protection and fingerprinting scheme that met the main objectives: 1) Minimize the number of the original image blocks when we use the DCT transform in order to increase the speed of embedding process, (treatment of the capacity issue), 2) Raise the level of security by using unique Key to encrypt the watermark, 3) Increase the robustness to compression by JPEG and cropping, and, 4) Identify each image through buyer information (fingerprinting). We tested the proposed scheme and experiment with some common images and found the results quite promising. Read More Read Less