AUTOMATIC DETECTION OF CLOUD-SECURITY FEATURES (ADCSF) PROVIDED BY SAAS APPLICATIONS

A method for scoring a cloud SaaS application to rate the level of cloud security provided by that application. The application URLs are crawled iteratively for data corresponding to a set of predetermined features using keyword strings. The features are determined to be those which are indicative o...

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Bibliographic Details
Main Authors SINGH, Durgeshwar, Pratap, Y, Naveen, SHUKLA, Awadh, Narayan
Format Patent
LanguageEnglish
French
German
Published 17.04.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
PHYSICS
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
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Summary:A method for scoring a cloud SaaS application to rate the level of cloud security provided by that application. The application URLs are crawled iteratively for data corresponding to a set of predetermined features using keyword strings. The features are determined to be those which are indicative of effective cloud security. The crawled data corresponding to features are stored in text files. The data are used for training and supervised machine learning algorithm to determine the probability score that a feature is present for that application. The feature scores are numerically combined to arrive at an overall cloud confidence index score (CCI) for that application. Every SaaS application is rated with a score between 1 and 100, depending on whether the selected features are present or not. The CCI score provides an easy way to determine the level of cloud security provided the application. It also provides a way to compare different SaaS applications as to their effectiveness in providing cloud security.
Bibliography:Application Number: EP20220805623