Please view the posters presented at the 19th Annual City Tech Faculty and Student Research Poster Session below. You can click on each poster to enlarge it and view the PDF version under the poster abstract.
We thank all presenters for sharing their innovative and informative research with the City Tech community and beyond!
17-Assessing Password Security Using Machine Learning for Cybersecurity
Password cracking is a method used to obtain or discover a secure password. It can be used in cases of a forgotten password or a locked-out account. However, it is widely used for malicious intent. This includes gaining unauthorized access to a system to obtain private/personal information. To prevent these attacks and properly secure an account, a strong, unique password is necessary. We demonstrate how Machine Learning can be used to assess password security. We employ the scikit python library (MB) to read a dataset of passwords into the model’s data frame, and the Python data package pandas (RM) to train the model to recognize and analyze basic combinations of characters. We create four passwords, with varying combinations and use Natural Language Processing (NLP), to compare them to the data base and determine their strength. View or download a PDF version of this poster.
