Mrs. Dhanamma Jagli

Mrs. Dhanamma Jagli, Sunita Mahajan, Dr. N. Subhash Chandra

The cloud computing is evolving as a key computing platform for sharing resources like infrastructure, platform, software etc. This has proven to be an essential requirement for extending many existing applications. Software as a service (SaaS) is referred as on-demand software supplied by service providers in which software and associated data are hosted on the cloud and it can be accessed by service users using a thin client via a web browser. SaaS is commonly utilized and it provides many benefits to service users. To realize these benefits, it is essential to evaluate potential quality of SaaS, not only to the service users but also to the service providers. They have to evaluate their services against requirements of service users. The existing evaluation models are focusing only on quality attributes of SaaS. In this paper, a new evaluation model is proposed based on the data mining technique of Constraint Based Clustering (CBC). The proposed model gives emphasis on potential requirements of service users along with quality attributes of services.

Mrs. Dhanamma Jagli, Mrs. Rohini Temkar

The present business network infrastructure is quickly varying with latest servers, services, connections, and ports added often, at times day by day, and with a uncontrollably inflow of laptops, storage media and wireless networks. With the increasing amount of vulnerabilities and exploits coupled with the recurrent evolution of IT infrastructure, organizations at present require more numerous vulnerability assessments. In this paper new approach the Unified process for Network vulnerability Assessments hereafter called as a unified NVA is proposed for network vulnerability assessment derived from Unified Software Development Process or Unified Process, it is a popular iterative and incremental software development process framework.