SECURITY EVALUATION IN COLLABORATIVE M-LEARNING SYSTEMS
Journal Title: Journal of Applied Quantitative Methods - Year 2010, Vol 5, Issue 4
Abstract
The paper analyses the security issues related to m-learning applications. The collaborative systems are classified, emphasizing on collaborative systems from the mobile learning field. The security of informatics applications is analyzed inside an m-learning system in order to reveal vulnerabilities of different applications. M-learning applications are tested in order to discover possible security vulnerabilities. Metrics are built to measure the security level of each application and to achieve the security assessment of collaborative-learning systems.
Authors and Affiliations
Paul POCATILU, Cristian CIUREA, Mihai DOINEA
The Analysis of the Telecommunications Sector by the Means of Data Mining Techniques
Nowadays, the Internet comprises of huge amount of electronic information concerning different companies’ financial performance. This amount greatly exceeds our capacity to analyze it, the problem being that we often lac...
TREND OF FOREIGN EXCHANGE EARNINGS BY THE VISITORS IN BANGLADESH
This study was an attempt to know the trend of foreign exchange earnings by the visitors in Bangladesh. To estimate this trend, secondary data was used for the period 1986-2008. Different statistical techniques and trend...
DIFFERENTIAL VARIABILITY OF TEST SCORES AMONG SCHOOLS: A MULTILEVEL ANALYSIS OF THE FIFTH-GRADE INVALSI TEST USING HETEROSCEDASTIC RANDOM EFFECTS
The performance of a school system can be evaluated through the learning levels of the pupils, usually summarized by school mean scores. The variability of the mean scores among schools is rarely studied in detail, thoug...
Aestetics, Usefulness and Performance in User-Search – Engine Interaction
Issues of visual appeal have become an integral part of designing interactive systems. Interface aesthetics may form users' attitudes towards computer applications and information technology. Aesthetics can affect user s...
Some Notes on the Logistic Distribution[sup][/sup]
In this paper we study some properties of the density function f (x;θ ) =θ ⋅ e[sup]−x[/sup] (1+ e[sup]−x[/sup] )−[sup](θ +1)[/sup] , x ∈ R,θ > 0 which may be obtained from the distribution of the last order statistic...