Title | ||
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A password creation and validation system for social media platforms based on big data analytics |
Abstract | ||
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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 naïve 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. |
Year | DOI | Venue |
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2020 | 10.1007/s12652-019-01172-x | Journal of Ambient Intelligence and Humanized Computing |
Keywords | Field | DocType |
Social media platforms, Big data analytics, Passwords, Password composition, Password generation, Text mining | World Wide Web,Social network,Social media,Social web,Computer science,Artificial intelligence,Password,Data breach,Big data,Machine learning | Journal |
Volume | Issue | ISSN |
11 | 1 | 1868-5137 |
Citations | PageRank | References |
0 | 0.34 | 24 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Konstantinos F. Xylogiannopoulos | 1 | 18 | 7.74 |
Panagiotis Karampelas | 2 | 34 | 15.16 |
Reda Alhajj | 3 | 1919 | 205.67 |