IJCIRISSN 1996-1065 [Online]
ISSN 1818-1139 [PRINT]

In networks and entity groupings that have sensitive resources, user identification is a crucial requirement for secure access, communication and transactions involving those resources. However, there are networks and entity groupings that require entity authentication while preserving the privacy of the entity being authenticated. There are several zero-knowledge protocols (ZKP) including the Fiege-Fiat-Shamir that authenticate an entity anonymously. We present a revised Feige-Fiat-Shamir ZKP scheme for the Airborne Networks (ANs) that reduces the ping-pong effect in the scheme and speeds up the growth of the Verifier trust of the Prover, thus making the authentication process faster and more efficient.
Key Words: Mission critical, time, authenticity, anonymity, zero knowledge, authentication.

In this paper we outline how Software Language Engineering (SLE) could benefit from Component-based Software Development (CBSD) techniques and present an architecture aimed at developing a coherent set of lightweight SLE components, fitting into a general-purpose component framework. In order to give an impression on our development style, in this paper we demonstrate how to compose a syntax highlighter from a set of available SLE components using the NetBeans environment. Developing SLE tools as lightweight components that fit into general-purpose frameworks has advantages over the usual trend in which SLE tool development is towards large special-purpose frameworks. It facilitates incorporation of language processing tasks into all kinds of applications and makes SLE techniques available to occasional or first-time users with little effort.

During discovery of services, a service request is compared with available services. A similarity measure is one of the techniques which can be used to quantify the comparison and to rank existing services according to their suitability to satisfy a given request. Similarity measures have varying strengths and are applied in isolation. We argue that we can have better ranking if we apply the strongest similarity measure to a specific element of the service description. That is, we can employ a number of similarity measures to a specific service. In this paper we experiment with application of a combination of similarity measures to specific elements in a WSDL document. We then aggregate the similarity values into a single metric that is used to give the overall ranking of the services. Also, in our approach, the contribution of each element in the WSDL document is weighted according to the significance of the element in describing the desired service.

Software requirements management is a volatile and dynamic process that requires continuous requirements process improvement in order to arrive at adequate requirements. However, there is interdependence amongst the processes themselves that leads to requirements managers� inability to achieve satisficed requirements for the intended software system. As a result, several software projects have either a cost, schedule and quality creep or a mixture of them due to poor requirements process improvement (RPI) management. Currently, no attempt has been made to model the impact of the relationships amongst requirements processes to help gain problem understanding while using highly visualized tools. This has been cited by several authors as the reason why the attainment of a satisficed state for the requirement engineering processes cannot be achieved. This research is an attempt to develop a generic model for RPI by triangulating System Dynamics (SD) and Statistical Process Control (SPC) that exploits SD�s ability to analyze dynamic complex systems and SPC�s highly visualizable time series analyses to achieve satisficed system.

The objective of this paper is to report on the application of Structural Equation Model (SEM) to analyze factors that influence students' priorities when selecting a Course Management System (CMS). A Conformation Factor Analysis (CFA) was performed to test the reliability and validity of the measurement model. The study is motivated by the inconsistencies, duplication and loss of integrity of data caused by simultaneous usage of two CMS-WebCT and Electronic Campus (EC) e-learning tools in the faculty of Information and Communication Technology (ICT) at Tshwane University of Technology. A composite model of Diffusion of Innovations (DOI) theory and Technology Acceptance Model (TAM) was used to predict actual selection of CMS when mediated by prioritization. Results indicated that the complexity of WebCT negatively influences students' prioritization, whereas perceived ease of use and less complexity of EC drives them towards its selection. This paper provides an insight for antecedent factors essential for planning and implementing CMSs. The developed framework is expected to act as a guide for university administrators in making informed decision about investing in e-learning tools.

The Internet of Things is the phenomenon of more and more things being connected to the Internet (as opposed to people getting connected to the Internet). Although the concept of Internet of Things includes bidirectional access (things giving information about themselves and people or software then controlling those things), creating things that tweet is a common first step in joining the growing Internet of Things. This paper discusses a project where researchers in South Africa attempted to get a wide variety of things to tweet there statuses automatically.

The adoption and use of technology to support higher education processes has been increasingly affected by knowledge management (KM), learning technologies and emerging support tools for performance improvement. To achieve their goals, higher education institutions must endeavor to align operational processes and organizational learning with KM technology solutions to create a performance improvement environment that strategically leverages KM technologies with higher education processes. Drawing from the concepts based on processes reengineering in higher education, task-technology fit theory and an integrative learning and performance architecture to form the basis for defining our approach, this paper proposes a theoretical approach for integrating KM technologies in higher education processes with a view to achieving improved service deliveries and sustained competitive advantages. By using the reflections from the above concepts to show the links between KM technologies, higher education processes and performance improvement, this paper does not only give guidance for integration of KM technologies in higher education processes, but also act as a catalyst for optimizing higher education process modeling development.

International Telecommunications Union (of which Uganda is a signatory) in its Geneva 2006 conference set the analog-to-digital broadcasting transition deadline for June 2015. Uganda (under the Ministry of Information and Communications Technology) set its switchover date to 31st December 2012. This paper provides a situational analysis of whether Uganda is on track or not to meet the deadline. We discuss and analyse the actions taken by broadcasters and various government agencies including the regulator in support of this transition. Based on this analysis we recommend some further measures to both government and consumers to further enhance the chances of Uganda successfully meeting the deadline.

In this paper, we present AiC+, an extension of the AiC framework designed for the explanation of human actions especially in the environmental ?eld. We use ?rst order logics to describe the semantics used to explain the action selection of the agent (actor) using an agent hierarchy system and a fuzzy typing relation. An example is illustrated using the AiC+ to validate the framework and discuss possible future extensions to the framework.