Verifying the security posture as a system evolves is indispensable for building deployable software systems. Traditional security testing lacks flexibility in (1) providing early feedback to the architect on the ability of the software to predict security threats so that changes are made before the system is built, (2) responding to changes in user and behavior requirements that could affect the security of software, and (3) offering real design fixes that do not merely hide the symptoms of the problem (i.e., patching). We motivate the need for an architecture-level testing for security grounded on incremental and continuous refinements to support agile principles. We use architecture as an artifact for initiating the testing process for security through subsequent and iterative refinements. We extend the use of implied scenario to reveal undesirable behavior caused by ambiguities in users’ requirements and we analyze detection their security implications. This approach demonstrates how architecture-centric evaluation and analysis can assist in securing systems developed using an agile development cycle. We apply this approach to a case study to evaluate the security of identity management architectures. We reflect on the effectiveness of this approach in detecting vulnerable behaviors and the cost-effectiveness of refining the architecture before vulnerabilities are built into the system.
Visible and near-infrared, known as VIS-NIR spectroscopy has emerged as a highly promising alternative to conventional laborious wet chemistry methods for qualitative and quantitative analysis of samples. VIS-NIR spectroscopy has successfully been employed in the analysis of a wide variety of applications from food quality analysis to environmental monitoring, medical diagnosis and even in arts and archaeology. This book presents the state-of-the-art method for profiling cancerous cells using the VIS-NIR spectra between 400 nm and 1100 nm. What makes our book truly exceptional? The cell culture techniques, spectroscopic experimental setup and statistical methods are presented in detail, conveniently allowing readers to replicate the study. In this book, the study was specifically conducted on mouse skin fibroblast (L929), human cervix adenocarcinoma (HeLa) and human prostate carcinoma (DU145) cell lines. These cell selections are commonly used in cytotoxicity, anti-cancer, antiproliferative and diagnosis research. Whether you're a student specializing in cell studies or a researcher immersed in optical-based instrumentation and measurement techniques, this book is your essential companion for success.
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