No abstract

Using English words as passwords have been a popular topic in the last few years. The following article discusses a study to compare self-selection of the system-generated words for recognition and selfgenerated words for recall for nouns and mixture words. The results revealed no significant difference between recognition and recall of password nouns. The average memorability rate of noun recognition was 75.72%, slightly higher than noun recall 74.23% in long-term memory. Also, there was no significant difference between recognition and recall mixture word passwords. The average memorability rate of mixture word recognition was 95.23%, and recall was 84.14% in long-term memory. The authors concluded that the recognition and recall of mixed word passwords had a higher memorability rate than nouns.

Knowledge-based passwords are still the most dominant authentication method for securing digital platforms and services, in spite of the emergence of alternative systems such as token-based and biometric systems. This method has remained the most popular one mostly because of its usability, compatibility, affordability of implementation, and user familiarity. However, the main challenge of knowledge-based password schemes lies in creating passwords that provide a balance between memorability and security. This research aimed to compare various knowledgebased schemes in order to establish a strategy that provided high memorability and resilience to most cyberattacks. The overview of this research identifies areas of knowledge-based passwords for further research and enhances the methodology that helps to offer insight into usable, secure, and sustainable authentication approaches. Future work has been recommended to explore the major features and drawbacks of recognition-based textual passwords because this method provides the usability and security benefits of graphical passwords with the familiarity of textual passwords.