Graphical passwords have emerged as an alternative to traditional alphanumeric
passwords, offering potentially better memorability. However, they are often vulnerable to …

Mobile phones are most likely the subject of targeted attacks, such as software exploits. The
resources needed to carry out such attacks are becoming increasingly available and, hence …

In this paper, we assess the results of experiment with different machine learning algorithms
for the data classification on the basis of accuracy, precision, recall and F1-Score metrics …

This research assesses the practicability of machine learning models in classifying
consumers according to their passwords with the help of TF-IDF, which depicts exclusive …

Authentication is the most crucial aspect of security and a predominant measure employed
in cybersecurity. Cloud computing provides a shared electronic device resource for users via …

Database systems have consistently been prime targets for cyber-attacks and threats due to
the critical nature of the data they store. Despite the increasing reliance on database …

In an era where cloud computing has become ubiquitous, ensuring robust security
measures is imperative to safeguard sensitive data and maintain user trust. Traditional …

Language models like BERT dominate current NLP research due to their robust
performance, but they are vulnerable to backdoor attacks. Such attacks cause the model to …

The process of verifying the identity of someone requesting access to a computer system,
network, or piece of hardware is known as authentication. One of the most popular forms of …

Given the prevalence of sensitive information stored on smartphones, it is crucial to improve
their security. We present an attack strategy that reveals PIN entries on smartphones using …