Abstract: Methods and systems are presented for stolen cookie detection. An authentication request is received for a user to access a website using a web browser executable at the user's device. A series of storage locations available on the device for storing web cookies is identified and sorted in order of increasing fraud risk starting from a first storage location. A cookie value for each storage location is retrieved from the device. For each storage location after the first: an expected cookie value is calculated based on the cookie value of a preceding storage location; the expected cookie value is compared with the value retrieved for the storage location; and a score representing a level of fraud risk for the storage location is assigned. The authentication request is processed based on whether the assigned score for at least one of the storage locations exceeds a predetermined risk tolerance for fraud detection.

Abstract: There are provided systems and methods for a dynamic value appended to cookie data for fraud detection and step-up authentication. A service provider, such as an electronic transaction processor for digital transactions, may utilize computer cookies for authentication and/or login for a user account. In order to further secure cookies from being compromised and used by malicious parties for fraudulent account access, the service provider may add or append a dynamic value that changes at each subsequent login to the computer cookie. The dynamic value may be used so that if a computer cookie is misappropriated, only one device may use the cookie once without the cookie updating and invalidating the cookie with another device or application on the device. Thereafter, when a login is requested, the dynamic value is matched to an expected value by the service provider when determining whether to authenticate the device.

Abstract: Systems and methods for hierarchical segmentation and classification may include receiving an input object having a hierarchical data structure. The input object may be segmented at each hierarchical level in a descending manner. The components of each hierarchical level may be classified in an ascending manner. Classification at higher levels may depend on the results from classification at the lower levels. After classification, a hierarchically-classified object may be outputted.

Abstract: Systems and methods for hierarchical segmentation and classification may include receiving an input object having a hierarchical data structure. The input object may be segmented at each hierarchical level in a descending manner. The components of each hierarchical level may be classified in an ascending manner. Classification at higher levels may depend on the results from classification at the lower levels. After classification, a hierarchically-classified object may be outputted.