Abstract: Systems and methods for identifying and remedying password insecurities are disclosed. The systems and methods include crawling websites to identify popular cultural terms and saving the cultural terms in a backend system. The cultural terms can include names of celebrities, politicians, movies, and the like. An identification system receives a password and compares the received password to the cultural terms using a similarity score. If the number of similarities is above a predetermined threshold, or if the number of differences is below a predetermined threshold, the identification system denies the password. A recommendation system can generate a suggested password, which can also be compared to the cultural terms. The systems and methods also provide the ability to calculate a similarity score if the cultural terms or passwords are saved in an encrypted or hashed format.

Abstract: A system and method of generating directed advertisements is disclosed herein. A computing system identifies a baseline history of customer spending for one or more merchant category codes. The computing system generates a time series algorithm for each merchant category code of the one or more merchant category codes. The time series algorithm is based on the baseline history. The computing system receives a stream of transactions associated with a user. The computing system inputs the stream of user data into the time series algorithm. The computing system receives, as output, an anticipated purchase window for the user with respect to each merchant category code of the one or more merchant category codes. The anticipated purchase window includes an anticipated date of next purchase and anticipated purchase amount. The computing system directs advertisements to the user in accordance with each respective anticipated purchase window.

Abstract: Systems and methods for identifying and remedying password insecurities are disclosed. The systems and methods include crawling websites to identify popular cultural terms and saving the cultural terms in a backend system. The cultural terms can include names of celebrities, politicians, movies, and the like. An identification system receives a password and compares the received password to the cultural terms using a similarity score. If the number of similarities is above a predetermined threshold, or if the number of differences is below a predetermined threshold, the identification system denies the password. A recommendation system can generate a suggested password, which can also be compared to the cultural terms. The systems and methods also provide the ability to calculate a similarity score if the cultural terms or passwords are saved in an encrypted or hashed format.

Abstract: Disclosed herein are system, method, and device embodiments for implementing password suggestion. An embodiment operates by selecting one or more random terms from dictionary information, generating an alphanumeric string based on a password requirement, combining the one or more random terms and the alphanumeric string to form a generated password, determining a password strength of the generated password based on compromised password information, and presenting the generated password for selection by a user device when the password strength meets or exceeds a threshold value.

Abstract: Disclosed herein are system, method, and device embodiments for implementing password suggestion. An embodiment operates by selecting one or more random terms from dictionary information, generating an alphanumeric string based on a password requirement, combining the one or more random terms and the alphanumeric string to form a generated password, determining a password strength of the generated password based on compromised password information, and presenting the generated password for selection by a user device when the password strength meets or exceeds a threshold value.

Abstract: Systems and methods for identifying and remedying password insecurities are disclosed. The systems and methods include crawling websites to identify popular cultural terms and saving the cultural terms in a backend system. The cultural terms can include names of celebrities, politicians, movies, and the like. An identification system receives a password and compares the received password to the cultural terms using a similarity score. If the number of similarities is above a predetermined threshold, or if the number of differences is below a predetermined threshold, the identification system denies the password. A recommendation system can generate a suggested password, which can also be compared to the cultural terms. The systems and methods also provide the ability to calculate a similarity score if the cultural terms or passwords are saved in an encrypted or hashed format.

Abstract: Disclosed herein are system, method, and device embodiments for implementing password suggestion. An embodiment operates by selecting one or more random terms from dictionary information, generating an alphanumeric string based on a password requirement, combining the one or more random terms and the alphanumeric string to form a generated password, determining a password strength of the generated password based on compromised password information, and presenting the generated password for selection by a user device when the password strength meets or exceeds a threshold value.

Abstract: A system and method of generating directed advertisements is disclosed herein. A computing system identifies a baseline history of customer spending for one or more merchant category codes. The computing system generates a time series algorithm for each merchant category code of the one or more merchant category codes. The time series algorithm is based on the baseline history. The computing system receives a stream of transactions associated with a user. The computing system inputs the stream of user data into the time series algorithm. The computing system receives, as output, an anticipated purchase window for the user with respect to each merchant category code of the one or more merchant category codes. The anticipated purchase window includes an anticipated date of next purchase and anticipated purchase amount. The computing system directs advertisements to the user in accordance with each respective anticipated purchase window.