Securing applications through similarity-based risk assessment
AssigneeSap SE
InventorsSudhir Verma, Ayushi Singla, Sumit Kumar, Sarma Adithe Venkata Ram, Jani Mahammad
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AssigneeSap SE
InventorsSudhir Verma, Ayushi Singla, Sumit Kumar, Sarma Adithe Venkata Ram, Jani Mahammad
Estimating the term…
Systems, methods, and computer media are described for user risk assessment using similarity analysis. Records of transactions performed by a user while in previous enhanced application access sessions can be evaluated against records of transactions performed by other users in previous sessions. The more similar a user is to other users, the more likely it is the user was acting in a typical manner, and the less likely the user poses a security risk. A similarity analysis can be performed using a bipartite graph linking a group of users and a group of application transactions. By examining an edge between a user and a performed transaction, other edges (and corresponding other users) can be identified that also performed the transaction. A similarity score can be calculated based on the bipartite graph and can be used to determine a risk classification and allow or deny an enhanced application access session request.
A method, comprising:
A system, comprising:
One or more computer storage devices storing computer-executable instructions for risk assessment, the risk assessment comprising:
Dependencies are inferred from the claim text.