A password creation and validation system for social media platforms based on big data analytics

Abstract

In the era of social web, the number of accounts that users need to maintain and consequently the number of associated passwords has increased. This usually constraints users to select very weak passwords that can be easily remembered, yet easily compromised. Indeed, recent data breaches in major social networking platforms have shown that users are still using naive passwords such as 123456. To remedy this serious problem and taking advantage of the availability of real password datasets, we propose a novel methodology that can detect all frequent and non-frequent patterns. The results are used to develop a novel password creation and validation system that could improve the strength of a password.