Identity and Access Management System: a Web-Based Approach for an Enterprise

Managing digital identities and access control for enterprise users and applications remains one of the greatest challenges facing computing today. An attempt to address this issue led to the proposed security paradigm called Identity and Access Management (IAM) service based on IAM standards. Current approaches such as Lightweight Directory Access Protocol (LDAP), Central Authentication Service (CAS) and Security Assertion Markup Language (SAML) lack comprehensive analysis from conception to physical implementation to incorporate these solutions thereby resulting in impractical and fractured solutions. In this paper, we have implemented Identity and Access Management System (IAMSys) using the Lightweight Directory Access Protocol (LDAP) which focuses on authentication, authorization, administration of identities and audit reporting. Its primary concern is verification of the identity of the entity and granting correct level of access for resources which are protected in either the cloud environment or on-premise systems. A phased approach methodology was used in the research where it requires any enterprise or organization willing to adopt this must carry out a careful planning and demonstrated a good understanding of the technologies involved. The results of the experimental evaluation indicated that the average rating score is 72.0 % for the participants involved in this study. This implies that the idea of IAMSys is a way to mitigating security challenges associated with authentication, authorization, data protection and accountability if properly deployed

Algorithms for advance bandwidth reservation in media production networks

Media production generally requires many geographically distributed actors (e.g., production houses, broadcasters, advertisers) to exchange huge amounts of raw video and audio data. Traditional distribution techniques, such as dedicated point-to-point optical links, are highly inefficient in terms of installation time and cost. To improve efficiency, shared media production networks that connect all involved actors over a large geographical area, are currently being deployed. The traffic in such networks is often predictable, as the timing and bandwidth requirements of data transfers are generally known hours or even days in advance. As such, the use of advance bandwidth reservation (AR) can greatly increase resource utilization and cost efficiency. In this paper, we propose an Integer Linear Programming formulation of the bandwidth scheduling problem, which takes into account the specific characteristics of media production networks, is presented. Two novel optimization algorithms based on this model are thoroughly evaluated and compared by means of in-depth simulation results