Accenture Global Solutions Limited

Chase Alan Sylvester

Ganesh Devarajan

John Carl Anderson

Chris Adam Maloney

Scott Lee Stephenson

Chris Maloney

The proposed systems and methods apply natural language processing to identify implicit security requirements flowing from input text narratively describing desired features for a software project. These systems and methods can identify hidden security requirements that may not be readily apparent from the features described in the input text. For example, a story may include a feature of a return URL (Uniform Resource Locator), which is the URL for the website to which a user will be redirected. A security vulnerability that would not be obvious from this feature is that a user might be directed to an attacker controlled site instead of the originally intended site. A security requirement that could counteract this vulnerability would be to include the feature of verifying all redirects go to Whitelisted Sites. The proposed systems and methods provide a framework for automated security requirements analysis capable of identifying unstated security requirements early on in a software development lifecycle using artificial intelligence techniques.

Artificial intelligence based security requirements identification and testing

A mechanism automatically reconfigures and later restores the network configuration and settings for network devices installed at one location according to configuration and settings of corresponding network devices installed at another location. This enables a user to access these network devices the same way in both locations. This mechanism further avoids having to perform any network reconfiguration of mobile devices that may be carried between the two locations.

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Prosper, TX, United States of America

Chase Alan Sylvester